From 65a0c694fad343b7837f5a2369c421bdba14e637 Mon Sep 17 00:00:00 2001 From: glemaitre Date: Fri, 26 Apr 2024 13:50:10 +0000 Subject: [PATCH] [ci skip] FIX Several typos accross landing pages (#773) Co-authored-by: ArturoAmorQ 913cc1c30e04db5ccf21ccc15f293d1bda42cd5d --- _sources/index.md | 6 +++--- index.html | 6 +++--- searchindex.js | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/_sources/index.md b/_sources/index.md index cab66acbc..aeb3cbea9 100644 --- a/_sources/index.md +++ b/_sources/index.md @@ -36,8 +36,8 @@ interpreting their predictions. "Machine learning in Python with scikit-learn MOOC" , - is available starting on October 18, 2022 and will last for 3 months. Enroll for - the full MOOC experience (quizz solutions, executable notebooks, discussion + is available starting on November 8th, 2023 and will remain open in self-paced mode. + Enroll for the full MOOC experience (quiz solutions, executable notebooks, discussion forum, etc ...) !
The MOOC is free and the platform does not use the student data for any other purpose @@ -79,7 +79,7 @@ You can cite us through the project's Zenodo archive using the following DOI: [10.5281/zenodo.7220306](https://doi.org/10.5281/zenodo.7220306). The following repository includes the notebooks, exercises and solutions to the -exercises (but not the quizz solutions ;): +exercises (but not the quizzes' solutions ;): https://github.com/INRIA/scikit-learn-mooc/ diff --git a/index.html b/index.html index 0be7a8afb..73f3b6b27 100644 --- a/index.html +++ b/index.html @@ -700,8 +700,8 @@

Course presentation "Machine learning in Python with scikit-learn MOOC" , - is available starting on October 18, 2022 and will last for 3 months. Enroll for - the full MOOC experience (quizz solutions, executable notebooks, discussion + is available starting on November 8th, 2023 and will remain open in self-paced mode. + Enroll for the full MOOC experience (quiz solutions, executable notebooks, discussion forum, etc ...) !
The MOOC is free and the platform does not use the student data for any other purpose @@ -742,7 +742,7 @@

MOOC material10.5281/zenodo.7220306.

The following repository includes the notebooks, exercises and solutions to the -exercises (but not the quizz solutions ;):

+exercises (but not the quizzes’ solutions ;):

INRIA/scikit-learn-mooc

The MOOC material is also published as a static website at:

https://inria.github.io/scikit-learn-mooc/

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(AdaBoost)", "Bagging", "\ud83d\udcdd Exercise M6.01", "\ud83d\udcdd Exercise M6.02", "\ud83d\udcdd Exercise M6.03", "\ud83d\udcdd Exercise M6.04", "Gradient-boosting decision tree (GBDT)", "Speeding-up gradient-boosting", "Hyperparameter tuning", "Introductory example to ensemble models", "Random forests", "\ud83d\udcc3 Solution for Exercise M6.01", "\ud83d\udcc3 Solution for Exercise M6.02", "\ud83d\udcc3 Solution for Exercise M6.03", "\ud83d\udcc3 Solution for Exercise M6.04", "\ud83d\udcdd Exercise 01", "Benefits of using feature selection", "Limitation of selecting feature using a model", "\ud83d\udcc3 Solution for Exercise 01", "\ud83d\udcdd Exercise M4.01", "\ud83d\udcdd Exercise M4.02", "\ud83d\udcdd Exercise M4.03", "\ud83d\udcdd Exercise M4.04", "Non-linear feature engineering for Logistic Regression", "Regularization of linear regression model", "\ud83d\udcc3 Solution for Exercise M4.01", "\ud83d\udcc3 Solution for Exercise M4.02", "\ud83d\udcc3 Solution for Exercise M4.03", "\ud83d\udcc3 Solution for Exercise M4.04", "Linear regression using scikit-learn", "Non-linear feature engineering for Linear Regression", "Linear regression without scikit-learn", "Linear models for classification", "Classification", "\ud83d\udcdd Exercise M7.02", "\ud83d\udcdd Exercise M7.03", "Regression", "\ud83d\udcc3 Solution for Exercise M7.02", "\ud83d\udcc3 Solution for Exercise M7.03", "\ud83d\udcdd Exercise M3.01", "\ud83d\udcdd Exercise M3.02", "Hyperparameter tuning by grid-search", "Set and get hyperparameters in scikit-learn", "Evaluation and hyperparameter tuning", "Analysis of hyperparameter search results", "Hyperparameter tuning by randomized-search", "\ud83d\udcc3 Solution for Exercise M3.01", "\ud83d\udcc3 Solution for Exercise M3.02", "Build a classification decision tree", "The penguins datasets", "\ud83d\udcdd Exercise M5.01", "\ud83d\udcdd Exercise M5.02", "Importance of decision tree hyperparameters on generalization", "Decision tree for regression", "\ud83d\udcc3 Solution for Exercise M5.01", "\ud83d\udcc3 Solution for Exercise M5.02", "Table of contents", "\ud83c\udfa5 Intuitions on tree-based models", "Decision tree in classification", "Hyperparameters of decision tree", "Intuitions on tree-based models", "Module overview", "Main take-away", "\u2705 Quiz M5.01", "\u2705 Quiz M5.02", "\u2705 Quiz M5.03", "\u2705 Quiz M5.04", "Decision tree in regression", "\ud83c\udfc1 Wrap-up quiz 5", "Automated tuning", "\u2705 Quiz M3.02", "Manual tuning", "\u2705 Quiz M3.01", "Module overview", "Main take-away", "\ud83c\udfa5 Analysis of hyperparameter search results", "\ud83c\udfc1 Wrap-up quiz 3"], "terms": {"The": [0, 1, 2, 12, 17, 21, 32, 35, 36, 38, 41, 43, 46, 48, 55, 57, 59, 65, 70, 72, 74, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 108, 109, 110, 111, 112, 113, 114, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 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108, 109, 114, 115, 117, 123, 129, 132, 133, 135, 137, 138, 139, 142, 143, 146, 151, 152, 156, 163, 177], "up": [2, 5, 9, 34, 43, 73, 76, 79, 84, 94, 96, 98, 101, 103, 107, 108, 125, 128, 134, 139, 140, 142, 150, 162, 165, 182], "nois": [2, 46, 52, 57, 102, 110, 115, 132, 137, 139], "rather": [2, 28, 33, 76, 79, 105, 106, 141, 142, 147, 154, 156], "than": [2, 5, 17, 26, 27, 28, 33, 35, 42, 46, 52, 59, 72, 73, 76, 79, 80, 81, 82, 83, 84, 85, 88, 89, 91, 93, 94, 96, 97, 98, 100, 101, 102, 104, 105, 108, 109, 110, 116, 117, 118, 119, 122, 124, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 141, 142, 145, 147, 149, 150, 152, 153, 154, 156, 157, 160, 161, 164, 174, 177, 179, 185], "relev": [2, 59, 79, 94, 108, 142], "pattern": [2, 22, 73, 94, 124, 127, 143, 146, 152], "tell": [2, 73, 102, 108], "great": [2, 5, 48], "poorli": [2, 88], "real": [2, 48, 73, 79, 80, 84, 85, 99, 101, 128, 134, 142, 145, 162], "world": [2, 162], "fit_predict": 2, "kneighborsclassifi": [2, 59, 77, 80, 82, 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72, 73, 75, 76, 80, 81, 82, 83, 84, 85, 90, 91, 94, 95, 96, 97, 98, 99, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 121, 122, 123, 126, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 145, 147, 150, 152, 153, 154, 156, 157, 158, 161, 162, 163, 164, 165, 181, 182, 185], "someon": [2, 73], "come": [2, 5, 28, 55, 73, 79, 115, 118, 125, 128, 134, 140, 151, 152, 162], "doe": [2, 5, 17, 23, 28, 35, 46, 73, 76, 81, 84, 85, 87, 88, 89, 91, 94, 95, 96, 97, 99, 100, 105, 108, 117, 120, 131, 132, 133, 137, 141, 145, 147, 150, 154, 156, 157, 162, 179, 183], "15": [2, 3, 73, 79, 81, 84, 91, 102, 104, 114, 116, 117, 120, 123, 142, 154, 156, 157, 163, 177], "continu": [2, 5, 36, 41, 42, 63, 73, 79, 101, 103, 104, 108, 140, 141, 142, 145, 147, 158, 161], "price": [2, 48, 72, 90, 91, 101, 104, 107, 108, 144, 145, 147], "descript": [2, 28, 48, 72, 73, 77, 82, 91, 92, 95, 97, 101, 102, 107, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 157, 159, 160, 161, 162, 163, 164, 165], "room": [2, 48, 101, 107, 108], "surfac": [2, 28], "locat": [2, 74, 75, 91, 104, 105, 107, 141, 153], "ag": [2, 73, 76, 78, 79, 80, 81, 83, 84, 85, 101, 103, 107, 108, 130, 133, 136, 150, 151, 154], "mri": 2, "scan": [2, 5, 151], "want": [2, 17, 73, 74, 75, 79, 80, 84, 87, 89, 90, 91, 92, 94, 95, 97, 99, 100, 101, 102, 103, 105, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 125, 126, 128, 129, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 157, 158, 159, 160, 161, 162, 163, 164, 177, 179, 185], "tree": [2, 5, 9, 12, 14, 15, 16, 17, 57, 73, 81, 84, 85, 87, 89, 91, 95, 100, 101, 102, 108, 109, 110, 112, 113, 114, 116, 118, 119, 120, 121, 122, 123, 126, 132, 139, 143, 146, 148, 150, 154, 155, 158, 159, 160, 163, 164, 170, 171, 172, 173, 174, 175, 177], "piecewis": [2, 132, 162, 174], "constant": [2, 23, 83, 108, 129, 132, 135, 137, 139, 162, 174], "To": [2, 7, 8, 28, 36, 45, 46, 47, 49, 51, 53, 61, 66, 72, 73, 79, 80, 81, 85, 86, 88, 92, 94, 95, 96, 97, 99, 100, 101, 102, 108, 109, 110, 113, 116, 117, 122, 125, 129, 132, 133, 135, 137, 138, 139, 142, 145, 154, 156, 162, 166, 177], "given": [2, 5, 17, 28, 41, 48, 57, 65, 79, 81, 84, 93, 96, 98, 99, 101, 104, 106, 107, 108, 110, 115, 119, 126, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 147, 152, 154, 163, 172, 179, 181, 182], "output": [2, 17, 41, 73, 76, 81, 84, 85, 100, 101, 105, 108, 110, 128, 129, 132, 134, 135, 141, 142, 147, 163], "correspond": [2, 17, 28, 46, 73, 76, 79, 84, 85, 86, 88, 94, 96, 101, 102, 104, 105, 106, 107, 108, 110, 112, 121, 135, 140, 141, 142, 150, 151, 153, 154, 162, 174, 177], "ridg": [2, 39, 43, 46, 107, 108, 110, 131, 133, 137], "order": [2, 5, 17, 28, 39, 46, 68, 73, 81, 85, 88, 89, 90, 94, 99, 101, 104, 114, 119, 123, 133, 140, 150, 153, 154, 185], "shrink": [2, 43, 133, 137], "constrain": [2, 39, 43, 60, 102, 132], "toward": 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145, 146, 152, 153, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 179], "compos": [2, 72, 73, 80, 84, 85, 86, 87, 88, 89, 90, 93, 98, 104, 119, 130, 136, 145, 148, 150, 152, 154, 155, 161], "sinc": [2, 73, 76, 81, 92, 96, 97, 98, 99, 101, 105, 106, 107, 108, 109, 110, 115, 116, 117, 119, 125, 133, 136, 138, 141, 142, 145, 150, 157, 158, 162, 163], "potenti": [2, 43, 48, 73, 81, 85, 95, 101, 102, 116, 138, 142, 152, 181], "choic": [2, 28, 35, 43, 52, 55, 57, 84, 97, 98, 101, 105, 107, 108, 110, 133, 138, 147, 150, 154, 156, 165, 185], "circl": [2, 73, 107, 110, 132], "vs": [2, 81, 84, 131, 137, 142, 163], "squar": [2, 27, 57, 105, 133, 134, 138, 139, 145, 147], "boil": 2, "down": [2, 5, 117], "fact": [2, 17, 81, 83, 89, 103, 105, 115, 133, 154, 164, 177], "exactli": [2, 43, 55, 59, 79, 89, 94, 185], "know": [2, 5, 85, 92, 97, 101, 102, 104, 107, 110, 115, 127, 133, 139, 142, 150], "frame": [2, 104, 105, 106, 107], "scienc": [2, 5, 35, 94, 105], "solv": [2, 5, 28, 43, 59, 73, 79, 85, 94, 97, 99, 101, 105, 106, 133, 138, 139, 140, 141, 145, 162, 185], "might": [2, 5, 28, 36, 48, 72, 83, 84, 85, 87, 89, 94, 95, 99, 100, 101, 102, 105, 108, 117, 134, 142, 145, 150, 154, 163], "speci": [2, 17, 74, 75, 109, 131, 137, 141, 157, 158, 159, 161, 163, 185], "commonli": [2, 73, 79, 80], "denot": 2, "eventu": 2, "ideal": [2, 101, 142, 145], "let": [2, 5, 17, 24, 42, 46, 72, 73, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 115, 117, 125, 126, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 142, 145, 147, 150, 151, 154, 157, 158, 161, 162, 185], "On": [2, 5, 28, 79, 81, 82, 85, 90, 96, 101, 108, 109, 110, 117, 122, 124, 127, 132, 133, 135, 136, 137, 138, 139, 142, 145, 150, 152, 154, 157, 162, 163, 164], "figur": [2, 26, 76, 79, 99, 101, 103, 108, 109, 110, 115, 141, 152, 153, 154, 157, 163, 179], "mathemat": [2, 57, 92, 97, 132, 139, 140, 141, 145], "b": [2, 14, 15, 16, 17, 23, 24, 25, 26, 27, 28, 34, 36, 41, 42, 43, 46, 48, 50, 52, 59, 60, 63, 65, 68, 72, 128, 134, 140, 154, 156, 172, 173, 174, 175, 177, 179, 181, 185], "creat": [2, 28, 43, 46, 59, 68, 70, 71, 72, 76, 77, 79, 81, 82, 84, 85, 92, 93, 95, 97, 98, 99, 102, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 118, 120, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 141, 142, 143, 144, 146, 147, 150, 151, 152, 154, 157, 159, 160, 162, 163, 164, 173, 177, 182], "infin": 2, "vari": [2, 17, 79, 92, 95, 97, 99, 102, 105, 108, 123, 125, 133, 138, 140, 142, 151, 156, 177], "fulfil": 2, "requir": [2, 5, 12, 17, 21, 28, 32, 35, 38, 39, 42, 46, 55, 59, 70, 72, 73, 76, 79, 81, 85, 92, 97, 98, 105, 109, 116, 117, 132, 133, 147, 152, 154, 156, 161, 170, 177, 182, 185], "minim": [2, 5, 39, 57, 63, 91, 96, 101, 102, 137, 138, 145, 147, 157, 173], "sum": [2, 39, 41, 57, 73, 80, 82, 115, 134, 136, 141, 142], "error": [2, 5, 15, 27, 28, 39, 41, 50, 52, 55, 57, 58, 60, 73, 76, 80, 86, 88, 91, 94, 95, 96, 102, 109, 111, 112, 113, 115, 116, 117, 119, 120, 121, 122, 128, 129, 133, 134, 135, 138, 139, 142, 144, 145, 147, 148, 155, 165, 173], "red": [2, 26, 76, 101, 103, 109, 110, 115, 131, 132, 136, 137, 141, 152, 161], "best": [2, 12, 17, 21, 32, 38, 52, 57, 59, 73, 90, 96, 97, 99, 102, 111, 113, 114, 116, 117, 119, 120, 122, 123, 128, 133, 134, 137, 138, 139, 142, 145, 148, 149, 150, 151, 152, 154, 155, 156, 157, 170, 179, 182, 183, 185], "possibl": [2, 5, 14, 28, 35, 41, 42, 57, 59, 63, 68, 73, 81, 84, 91, 95, 96, 99, 101, 102, 103, 108, 110, 116, 117, 119, 127, 128, 129, 132, 133, 134, 135, 137, 139, 141, 145, 147, 149, 150, 152, 153, 156, 159, 160, 162, 163, 164, 179, 185], "abstract": [2, 105], "manner": [2, 13, 28, 84, 94, 133, 147], "state": [2, 5, 13, 59, 73, 79, 80, 81, 84, 85, 107, 136, 150, 154], "jockei": 2, "wheel": 2, "i": [2, 12, 17, 19, 21, 28, 46, 70, 71, 72, 73, 76, 79, 80, 81, 83, 84, 85, 88, 89, 95, 96, 99, 101, 103, 108, 110, 115, 116, 117, 118, 128, 129, 132, 133, 134, 135, 138, 141, 142, 145, 147, 150, 156, 157, 165, 179, 185], "support": [2, 5, 81, 87, 89, 92, 97, 132, 136, 139, 143, 146, 163], "standardscal": [2, 28, 46, 59, 65, 72, 76, 81, 85, 87, 89, 90, 92, 97, 98, 99, 107, 108, 130, 131, 132, 136, 137, 141, 149, 151, 156, 177, 179, 181, 185], "columntransform": [2, 71, 85, 87, 89, 90, 132, 136, 148, 150, 152, 154, 155], "enough": [2, 5, 88, 89, 98, 101, 102, 115, 117, 137, 145, 151, 157, 161, 163, 177], "flexibl": [2, 5, 52, 55, 57, 60, 92, 97, 102, 119, 157], "opposit": 2, "cluster": [2, 101, 103, 172], "whose": [2, 80, 116, 151], "group": [2, 5, 19, 24, 28, 73, 99, 100, 101, 107, 130, 136, 165], "subset": [2, 16, 41, 43, 46, 70, 73, 76, 79, 80, 85, 90, 101, 105, 107, 117, 119, 122, 124, 125, 126, 127, 148, 155, 157, 158, 161, 177], "them": [2, 5, 12, 59, 73, 75, 76, 81, 84, 85, 93, 96, 98, 101, 108, 110, 112, 116, 117, 118, 121, 129, 132, 133, 135, 139, 141, 142, 145, 150, 151, 152, 156, 160, 163, 164, 177, 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43, 55, 59, 70, 80, 81, 84, 85, 96, 100, 101, 105, 107, 110, 114, 115, 117, 122, 123, 124, 126, 127, 133, 137, 143, 144, 146, 147, 150, 151, 152, 160, 164, 182], "sometim": [2, 5, 57, 85, 98, 142, 145, 152, 154], "clear": [2, 73, 97, 102, 161], "mani": [2, 5, 28, 41, 59, 72, 73, 74, 75, 80, 81, 84, 85, 96, 98, 99, 101, 102, 104, 107, 110, 117, 119, 129, 130, 132, 133, 135, 136, 142, 151, 156, 185], "need": [2, 5, 21, 23, 28, 36, 39, 59, 65, 73, 77, 79, 81, 82, 84, 85, 90, 92, 96, 97, 101, 102, 105, 108, 109, 110, 115, 117, 118, 119, 120, 130, 132, 133, 136, 137, 138, 139, 143, 144, 146, 147, 150, 151, 152, 154, 155, 161, 175, 177], "criteria": [2, 117], "ml": [2, 5, 94], "cheatsheet": 2, "readthedoc": 2, "io": [2, 35], "en": 2, "latest": [2, 27], "googl": 2, "develop": [2, 5, 35, 70, 73, 86, 88, 105, 129, 135, 139], "com": [2, 5, 35], "advanc": [2, 5, 35, 70, 87, 89], "relat": [2, 13, 17, 22, 33, 39, 55, 57, 71, 73, 85, 103, 137, 139, 142, 171, 182, 183], "terminolog": 2, "modifi": [3, 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98, 99, 100, 102, 103, 106, 117, 125, 136], "standpoint": 5, "biggest": 5, "shortcom": 5, "cannot": [5, 17, 28, 57, 73, 99, 100, 102, 108, 117, 124, 127, 132, 139, 142, 145, 147, 150, 153, 164, 182], "autom": [5, 73, 165, 183], "domain": 5, "knowledg": [5, 35, 70, 96, 102, 110, 127, 139, 152], "critic": [5, 35, 104], "thing": [5, 73, 84, 85, 90, 100, 139, 150], "oper": [5, 81, 110, 132, 142, 152], "risk": [5, 129, 135], "advertis": 5, "individu": [5, 16, 28, 73, 81, 85, 103, 106, 110, 112, 119, 121, 133, 141, 157, 185], "caus": [5, 17, 50, 57, 73, 84, 88, 89, 117, 133, 150, 152, 179], "wast": [5, 117], "bit": [5, 28, 83, 101, 102, 108, 133, 139, 143, 146, 152], "monei": 5, "annoi": 5, "otherwis": [5, 17, 79, 88, 94, 96, 119, 132, 139, 140, 161], "mostli": [5, 136, 137, 156], "harmless": 5, "medicin": 5, "kill": 5, "logic": [5, 136, 150, 163], "fals": [5, 15, 52, 80, 84, 87, 89, 94, 96, 100, 105, 107, 123, 125, 126, 132, 133, 135, 136, 139, 142, 146, 149, 150, 154, 156, 157, 163, 175, 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28, 32, 33, 38, 39, 43, 46, 55, 56, 57, 59, 64, 65, 72, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 107, 108, 113, 114, 115, 116, 117, 118, 119, 122, 123, 124, 125, 126, 127, 129, 130, 133, 135, 136, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 161, 162, 165, 170, 175, 177, 179, 182, 183, 185], "principl": [12, 21, 33, 142], "through": [12, 21, 28, 32, 35, 38, 55, 70, 92, 97, 102, 108, 114, 123, 133, 140, 141, 143, 146, 150, 170, 179, 182], "hour": [12, 21, 38, 55, 70, 73, 76, 78, 79, 80, 81, 83, 84, 85, 103, 130, 136, 150, 151, 154, 170, 182], "saw": [13, 28, 39, 46, 79, 81, 84, 85, 101, 102, 115, 117, 133, 138, 141, 143, 146, 150, 152, 153, 154, 157, 161, 162, 163, 171], "parallel": [13, 15, 103, 115, 152, 153, 156, 179], "sequenti": [13, 15, 52, 81, 116, 117, 153, 179], "intern": [13, 43, 65, 81, 85, 96, 101, 109, 110, 113, 114, 122, 123, 133, 145, 147, 150, 152, 179], "machineri": [13, 109, 115], "art": 13, "learn": [13, 15, 16, 22, 23, 26, 27, 28, 33, 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129, 134, 135, 138, 140, 158, 160, 161, 162, 164, 185], "target_nam": [17, 28, 46, 59, 72, 76, 78, 80, 81, 83, 84, 85, 86, 87, 88, 89, 90, 103, 104, 105, 112, 119, 121, 128, 129, 132, 133, 134, 135, 138, 140, 148, 150, 151, 152, 154, 155, 160, 161, 162, 164, 177, 185], "bodi": [17, 74, 75, 105, 112, 121, 128, 129, 134, 135, 138, 140, 158, 160, 161, 162, 164, 185], "mass": [17, 28, 112, 121, 128, 129, 134, 135, 138, 140, 158, 160, 161, 162, 164, 185], "dropna": [17, 129, 135, 185], "frac": [17, 28], "random_st": [17, 36, 79, 81, 83, 85, 91, 92, 96, 97, 98, 99, 100, 101, 102, 108, 109, 110, 111, 112, 113, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125, 126, 127, 131, 132, 133, 135, 137, 139, 141, 142, 145, 148, 149, 150, 152, 154, 155, 156, 157, 159, 161, 163, 177], "reset_index": [17, 131, 137, 141], "drop": [17, 28, 36, 46, 59, 72, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 97, 98, 100, 103, 104, 105, 106, 107, 108, 119, 130, 136, 142, 143, 144, 145, 146, 147, 148, 150, 152, 154, 155, 177], "data": [17, 19, 21, 22, 23, 24, 27, 28, 35, 38, 39, 42, 43, 46, 57, 59, 65, 68, 70, 71, 72, 74, 75, 77, 78, 82, 83, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 173, 177, 179, 182, 185], "therefor": [17, 28, 72, 73, 76, 81, 83, 85, 91, 94, 95, 96, 98, 101, 102, 107, 109, 115, 116, 117, 119, 125, 126, 127, 133, 134, 135, 139, 141, 142, 145, 147, 152, 156, 161], "randomli": [17, 28, 96, 98, 101, 108, 110, 119, 154], "shuffl": [17, 36, 79, 94, 96, 99, 100, 101, 108, 114, 123, 142, 145], "break": [17, 94, 133], "spuriou": 17, "troubl": [17, 99], "notebook": [17, 22, 35, 46, 63, 72, 75, 77, 78, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 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122], "except": [17, 86, 88, 143, 146, 157, 163], "exact": [17, 28, 115], "fold": [17, 24, 28, 46, 59, 72, 76, 94, 99, 101, 108, 114, 123, 125, 126, 127, 128, 129, 130, 133, 134, 135, 136, 144, 147, 152, 154, 156, 177, 185], "model_select": [17, 28, 46, 59, 76, 78, 79, 81, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 107, 108, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 131, 133, 135, 136, 137, 141, 142, 143, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 159, 161, 163, 177, 179, 185], "cross_valid": [17, 28, 46, 59, 65, 72, 76, 84, 85, 86, 87, 88, 89, 90, 91, 92, 97, 98, 99, 102, 107, 108, 114, 115, 116, 118, 123, 125, 126, 133, 135, 136, 143, 144, 146, 147, 150, 151, 152, 177, 185], "cv": [17, 28, 46, 65, 72, 76, 85, 90, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 108, 114, 118, 123, 126, 133, 135, 136, 143, 146, 147, 150, 152, 154, 155, 161, 177, 179, 185], "store": [17, 28, 73, 79, 81, 91, 93, 98, 99, 101, 104, 105, 106, 110, 118, 125, 126, 132, 133, 138, 149, 150, 156, 185], "return_train_scor": [17, 28, 59, 102, 133], "count": [17, 46, 59, 72, 73, 75, 79, 81, 83, 84, 91, 94, 99, 104, 105, 106, 107, 130, 136, 157, 177, 185], "rang": [17, 39, 46, 59, 65, 72, 79, 81, 94, 96, 99, 101, 103, 105, 106, 107, 108, 110, 132, 133, 140, 152, 153, 154, 156, 158, 160, 163, 164, 174, 177, 179, 185], "substanti": [17, 177, 185], "almost": [17, 46, 72, 80, 89, 101, 108, 137, 140, 145, 152, 163, 177], "100": [17, 46, 59, 79, 80, 91, 95, 98, 101, 102, 107, 108, 110, 111, 113, 114, 115, 116, 117, 118, 120, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 139, 142, 145, 149, 154, 155, 156, 163, 185], "again": [17, 92, 97, 103, 108, 110, 113, 122, 137, 139, 142, 153], "curv": [17, 41, 57, 59, 92, 97, 113, 122, 135, 140, 141, 142, 165], "n_estim": [17, 109, 110, 113, 115, 116, 117, 118, 119, 120, 121, 122], "numpi": [17, 28, 35, 59, 63, 65, 70, 81, 91, 94, 95, 97, 98, 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"python_scripts/02_numerical_pipeline_ex_00.py", "python_scripts/02_numerical_pipeline_ex_01.py", "python_scripts/02_numerical_pipeline_hands_on.py", "python_scripts/02_numerical_pipeline_introduction.py", "python_scripts/02_numerical_pipeline_scaling.py", "python_scripts/02_numerical_pipeline_sol_00.py", "python_scripts/02_numerical_pipeline_sol_01.py", "python_scripts/03_categorical_pipeline.py", "python_scripts/03_categorical_pipeline_column_transformer.py", "python_scripts/03_categorical_pipeline_ex_01.py", "python_scripts/03_categorical_pipeline_ex_02.py", "python_scripts/03_categorical_pipeline_sol_01.py", "python_scripts/03_categorical_pipeline_sol_02.py", "python_scripts/03_categorical_pipeline_visualization.py", "python_scripts/cross_validation_baseline.py", "python_scripts/cross_validation_ex_01.py", "python_scripts/cross_validation_ex_02.py", "python_scripts/cross_validation_grouping.py", "python_scripts/cross_validation_learning_curve.py", "python_scripts/cross_validation_nested.py", "python_scripts/cross_validation_sol_01.py", "python_scripts/cross_validation_sol_02.py", "python_scripts/cross_validation_stratification.py", "python_scripts/cross_validation_time.py", "python_scripts/cross_validation_train_test.py", "python_scripts/cross_validation_validation_curve.py", "python_scripts/datasets_adult_census.py", "python_scripts/datasets_ames_housing.py", "python_scripts/datasets_bike_rides.py", "python_scripts/datasets_blood_transfusion.py", "python_scripts/datasets_california_housing.py", "python_scripts/dev_features_importance.py", "python_scripts/ensemble_adaboost.py", "python_scripts/ensemble_bagging.py", "python_scripts/ensemble_ex_01.py", "python_scripts/ensemble_ex_02.py", "python_scripts/ensemble_ex_03.py", "python_scripts/ensemble_ex_04.py", "python_scripts/ensemble_gradient_boosting.py", "python_scripts/ensemble_hist_gradient_boosting.py", "python_scripts/ensemble_hyperparameters.py", "python_scripts/ensemble_introduction.py", "python_scripts/ensemble_random_forest.py", "python_scripts/ensemble_sol_01.py", "python_scripts/ensemble_sol_02.py", "python_scripts/ensemble_sol_03.py", "python_scripts/ensemble_sol_04.py", "python_scripts/feature_selection_ex_01.py", "python_scripts/feature_selection_introduction.py", "python_scripts/feature_selection_limitation_model.py", "python_scripts/feature_selection_sol_01.py", "python_scripts/linear_models_ex_01.py", "python_scripts/linear_models_ex_02.py", "python_scripts/linear_models_ex_03.py", "python_scripts/linear_models_ex_04.py", "python_scripts/linear_models_feature_engineering_classification.py", "python_scripts/linear_models_regularization.py", "python_scripts/linear_models_sol_01.py", "python_scripts/linear_models_sol_02.py", "python_scripts/linear_models_sol_03.py", "python_scripts/linear_models_sol_04.py", "python_scripts/linear_regression_in_sklearn.py", "python_scripts/linear_regression_non_linear_link.py", "python_scripts/linear_regression_without_sklearn.py", "python_scripts/logistic_regression.py", "python_scripts/metrics_classification.py", "python_scripts/metrics_ex_01.py", "python_scripts/metrics_ex_02.py", "python_scripts/metrics_regression.py", "python_scripts/metrics_sol_01.py", "python_scripts/metrics_sol_02.py", "python_scripts/parameter_tuning_ex_02.py", "python_scripts/parameter_tuning_ex_03.py", "python_scripts/parameter_tuning_grid_search.py", "python_scripts/parameter_tuning_manual.py", "python_scripts/parameter_tuning_nested.py", "python_scripts/parameter_tuning_parallel_plot.py", "python_scripts/parameter_tuning_randomized_search.py", "python_scripts/parameter_tuning_sol_02.py", "python_scripts/parameter_tuning_sol_03.py", "python_scripts/trees_classification.py", "python_scripts/trees_dataset.py", "python_scripts/trees_ex_01.py", "python_scripts/trees_ex_02.py", "python_scripts/trees_hyperparameters.py", "python_scripts/trees_regression.py", "python_scripts/trees_sol_01.py", "python_scripts/trees_sol_02.py", "toc.md", "trees/slides.md", "trees/trees_classification_index.md", "trees/trees_hyperparameters_index.md", "trees/trees_intuitions_index.md", "trees/trees_module_intro.md", "trees/trees_module_take_away.md", "trees/trees_quiz_m5_01.md", "trees/trees_quiz_m5_02.md", "trees/trees_quiz_m5_03.md", "trees/trees_quiz_m5_04.md", "trees/trees_regression_index.md", "trees/trees_wrap_up_quiz.md", "tuning/parameter_tuning_automated_index.md", "tuning/parameter_tuning_automated_quiz_m3_02.md", "tuning/parameter_tuning_manual_index.md", "tuning/parameter_tuning_manual_quiz_m3_01.md", "tuning/parameter_tuning_module_intro.md", "tuning/parameter_tuning_module_take_away.md", "tuning/parameter_tuning_parallel_plot_video.md", "tuning/parameter_tuning_wrap_up_quiz.md"], "titles": ["Acknowledgement", "Datasets description", "Glossary", "Notebook timings", "Table of contents", "Concluding remarks", "\ud83c\udfa5 Concluding remarks", "\ud83c\udfa5 Intuitions on ensemble models: bagging", "\ud83c\udfa5 Intuitions on ensemble models: boosting", "Ensemble based on boosting", "Ensemble method using bootstrapping", "Hyperparameter tuning with ensemble methods", "Module overview", "Main take-away", "\u2705 Quiz M6.01", "\u2705 Quiz M6.02", "\u2705 Quiz M6.03", "\ud83c\udfc1 Wrap-up quiz 6", "Comparing a model with simple baselines", "Choice of cross-validation", "Nested cross-validation", "Module overview", "Main take-away", "\u2705 Quiz M7.01", "\u2705 Quiz M7.02", "\u2705 Quiz M7.03", "\u2705 Quiz M7.04", "\u2705 Quiz M7.05", "\ud83c\udfc1 Wrap-up quiz 7", "Classification metrics", "Regression metrics", "Caveats of feature selection", "Module overview", "Main take-away", "\u2705 Quiz", "Introduction", "\u2705 Quiz", "Intuitions on linear models", "Module overview", "Main take-away", "Non-linear feature engineering for linear models", "\u2705 Quiz M4.01", "\u2705 Quiz M4.02", "\u2705 Quiz M4.03", "Regularization in linear model", "\ud83c\udfa5 Intuitions on linear models", "\ud83c\udfc1 Wrap-up quiz 4", "\ud83c\udfa5 Intuitions on regularized linear models", "\u2705 Quiz Intro.01", "\ud83c\udfa5 Introducing machine-learning concepts", "\u2705 Quiz M2.03", "\ud83c\udfa5 Bias versus Variance", "\u2705 Quiz M2.02", "\ud83c\udfa5 Comparing train and test errors", "Bias versus variance trade-off", "Module overview", "Overfitting and underfitting", "Main take-away", "Validation and learning curves", "\ud83c\udfc1 Wrap-up quiz 2", "\u2705 Quiz M2.01", "\ud83c\udfa5 Overfitting and Underfitting", "Tabular data exploration", "\u2705 Quiz M1.01", "Fitting a scikit-learn model on numerical data", "\u2705 Quiz M1.02", "\ud83c\udfa5 Validation of a model", "Handling categorical data", "\u2705 Quiz M1.03", "\ud83c\udfa5 Visualizing scikit-learn pipelines in Jupyter", "Module overview", "Main take-away", "\ud83c\udfc1 Wrap-up quiz 1", "First look at our dataset", "\ud83d\udcdd Exercise M1.01", "\ud83d\udcc3 Solution for Exercise M1.01", "Model evaluation using cross-validation", "\ud83d\udcdd Exercise M1.02", "\ud83d\udcdd Exercise M1.03", "Working with numerical data", "First model with scikit-learn", "Preprocessing for numerical features", "\ud83d\udcc3 Solution for Exercise M1.02", "\ud83d\udcc3 Solution for Exercise M1.03", "Encoding of categorical variables", "Using numerical and categorical variables together", "\ud83d\udcdd Exercise M1.04", "\ud83d\udcdd Exercise M1.05", "\ud83d\udcc3 Solution for Exercise M1.04", "\ud83d\udcc3 Solution for Exercise M1.05", "Visualizing scikit-learn pipelines in Jupyter", "Comparing model performance with a simple baseline", "\ud83d\udcdd Exercise M2.01", "\ud83d\udcdd Exercise M7.01", "Sample grouping", "Effect of the sample size in cross-validation", "Nested cross-validation", "\ud83d\udcc3 Solution for Exercise M2.01", "\ud83d\udcc3 Solution for Exercise M7.01", "Stratification", "Non i.i.d. data", "Cross-validation framework", "Overfit-generalization-underfit", "The adult census dataset", "The Ames housing dataset", "The bike rides dataset", "The blood transfusion dataset", "The California housing dataset", "Feature importance", "Adaptive Boosting (AdaBoost)", "Bagging", "\ud83d\udcdd Exercise M6.01", "\ud83d\udcdd Exercise M6.02", "\ud83d\udcdd Exercise M6.03", "\ud83d\udcdd Exercise M6.04", "Gradient-boosting decision tree (GBDT)", "Speeding-up gradient-boosting", "Hyperparameter tuning", "Introductory example to ensemble models", "Random forests", "\ud83d\udcc3 Solution for Exercise M6.01", "\ud83d\udcc3 Solution for Exercise M6.02", "\ud83d\udcc3 Solution for Exercise M6.03", "\ud83d\udcc3 Solution for Exercise M6.04", "\ud83d\udcdd Exercise 01", "Benefits of using feature selection", "Limitation of selecting feature using a model", "\ud83d\udcc3 Solution for Exercise 01", "\ud83d\udcdd Exercise M4.01", "\ud83d\udcdd Exercise M4.02", "\ud83d\udcdd Exercise M4.03", "\ud83d\udcdd Exercise M4.04", "Non-linear feature engineering for Logistic Regression", "Regularization of linear regression model", "\ud83d\udcc3 Solution for Exercise M4.01", "\ud83d\udcc3 Solution for Exercise M4.02", "\ud83d\udcc3 Solution for Exercise M4.03", "\ud83d\udcc3 Solution for Exercise M4.04", "Linear regression using scikit-learn", "Non-linear feature engineering for Linear Regression", "Linear regression without scikit-learn", "Linear models for classification", "Classification", "\ud83d\udcdd Exercise M7.02", "\ud83d\udcdd Exercise M7.03", "Regression", "\ud83d\udcc3 Solution for Exercise M7.02", "\ud83d\udcc3 Solution for Exercise M7.03", "\ud83d\udcdd Exercise M3.01", "\ud83d\udcdd Exercise M3.02", "Hyperparameter tuning by grid-search", "Set and get hyperparameters in scikit-learn", "Evaluation and hyperparameter tuning", "Analysis of hyperparameter search results", "Hyperparameter tuning by randomized-search", "\ud83d\udcc3 Solution for Exercise M3.01", "\ud83d\udcc3 Solution for Exercise 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81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 103, 104, 105, 106, 107, 108, 109, 110, 116, 119, 130, 131, 132, 133, 136, 137, 139, 140, 141, 143, 146, 147, 148, 150, 151, 152, 154, 155, 157, 159, 161, 173, 185], "method": [2, 3, 5, 13, 41, 59, 72, 73, 74, 75, 79, 80, 81, 85, 94, 100, 108, 111, 115, 118, 119, 120, 126, 129, 132, 133, 135, 139, 141, 142, 145, 151, 152, 154, 165, 185], "along": [2, 73, 76, 84, 86, 88, 104, 128, 134, 145, 157], "document": [2, 3, 5, 14, 59, 77, 79, 80, 81, 82, 84, 85, 86, 88, 90, 91, 93, 94, 96, 98, 101, 109, 132, 133, 136, 138, 139, 142, 143, 144, 146, 147, 150, 151, 152, 154, 157, 163, 164], "via": [2, 28, 35, 76, 84, 96, 102, 107, 114, 115, 116, 118, 119, 123, 125, 141, 150, 151, 161], "docstr": [2, 145], "brows": 2, "http": [2, 5, 35, 73, 80, 94, 101, 107], "org": [2, 73, 79, 80, 81, 82, 85, 90, 96, 101, 109, 132, 133, 136, 138, 139, 142, 150, 152, 154, 157, 163, 164], "stabl": [2, 108, 110, 133, 177, 185], "html": [2, 79, 81, 82, 85, 90, 96, 101, 107, 109, 132, 133, 136, 138, 139, 142, 150, 152, 154, 157, 163, 164], "try": [2, 5, 28, 46, 73, 79, 81, 82, 85, 86, 88, 90, 96, 101, 105, 109, 110, 115, 117, 119, 129, 131, 132, 133, 135, 136, 137, 138, 139, 142, 143, 145, 146, 147, 148, 150, 152, 154, 155, 156, 157, 163, 164, 177, 182], "adopt": [2, 132, 137], "simpl": [2, 5, 46, 73, 78, 83, 92, 97, 104, 109, 110, 118, 119, 131, 133, 137, 139, 140, 141, 151, 157, 163, 165], "convent": [2, 73, 80, 81, 139], "limit": [2, 17, 28, 31, 33, 41, 55, 57, 60, 79, 85, 101, 102, 103, 110, 132, 133, 139, 145, 154, 158, 160, 164, 165], "minimum": [2, 117, 137, 142, 154, 160, 161, 162, 164], "number": [2, 5, 15, 16, 17, 28, 36, 41, 43, 46, 48, 52, 59, 68, 72, 73, 76, 77, 79, 80, 81, 82, 84, 85, 86, 88, 92, 94, 95, 97, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 113, 114, 115, 116, 117, 119, 122, 123, 125, 126, 127, 129, 130, 132, 133, 134, 135, 136, 137, 139, 142, 144, 145, 147, 149, 150, 152, 153, 154, 156, 157, 161, 162, 172, 177, 179, 183, 185], "object": [2, 5, 28, 46, 57, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 101, 103, 104, 105, 106, 119, 133, 136, 141, 142, 143, 146, 148, 150, 151, 152, 154, 155, 156, 157, 162, 177], "must": [2, 5, 43, 108, 130, 133, 136, 152, 185], "implement": [2, 89, 99, 109, 110, 116, 138, 141, 143, 146, 150, 153], "furthermor": [2, 46, 101, 132, 133, 135, 141], "tri": [2, 5, 65, 105, 109, 133, 137], "consist": [2, 39, 46, 72, 76, 80, 101, 129, 130, 135, 136, 139, 142, 147], "name": [2, 14, 28, 59, 73, 75, 79, 80, 81, 82, 83, 84, 85, 91, 92, 97, 98, 99, 101, 103, 104, 105, 106, 107, 108, 110, 115, 117, 120, 123, 129, 130, 131, 133, 135, 136, 137, 140, 141, 142, 150, 151, 153, 154, 181, 185], "same": [2, 17, 25, 28, 36, 39, 43, 46, 65, 73, 78, 79, 80, 81, 83, 84, 85, 89, 94, 95, 96, 98, 99, 101, 102, 103, 104, 108, 109, 110, 115, 116, 125, 128, 129, 130, 132, 133, 134, 135, 136, 138, 139, 140, 142, 145, 147, 153, 154, 162, 163, 177, 185], "categori": [2, 68, 72, 73, 79, 85, 86, 88, 104, 106, 119, 130, 133, 136, 150, 158], "e": [2, 5, 17, 28, 46, 59, 63, 65, 68, 70, 71, 72, 73, 79, 80, 81, 83, 84, 85, 88, 94, 95, 96, 99, 100, 101, 103, 108, 115, 116, 117, 118, 125, 129, 133, 135, 137, 138, 141, 142, 145, 147, 148, 150, 154, 155, 156, 157, 177, 179, 181, 185], "g": [2, 5, 17, 28, 72, 73, 84, 85, 94, 96, 100, 108, 112, 117, 118, 121, 125, 128, 129, 133, 134, 135, 137, 138, 140, 141, 148, 150, 154, 155, 156, 158, 160, 161, 162, 164, 177, 185], "expos": [2, 81, 84, 119, 142], "fit_transform": [2, 65, 81, 84, 85, 103, 104, 116, 127, 139], "accept": [2, 84, 101], "similar": [2, 43, 46, 59, 65, 77, 81, 82, 84, 87, 89, 103, 104, 110, 117, 125, 129, 130, 132, 133, 135, 136, 139, 142, 147, 150, 151, 152, 153, 154, 157, 185], "argument": [2, 46, 59, 77, 81, 82, 84, 86, 88, 105, 185], "type": [2, 13, 22, 28, 42, 46, 49, 70, 71, 73, 79, 80, 86, 87, 88, 89, 101, 104, 105, 106, 107, 110, 124, 127, 142, 145, 177], "shape": [2, 41, 42, 73, 79, 80, 84, 104, 105, 107, 108, 109, 110, 132, 139, 141, 145, 157, 162], "those": [2, 14, 27, 55, 79, 93, 98, 102, 110, 116, 133, 139, 145, 150, 152, 156, 163, 174, 181, 185], "problem": [2, 14, 17, 21, 28, 38, 39, 43, 48, 49, 55, 59, 63, 72, 73, 78, 83, 84, 86, 88, 90, 92, 94, 97, 98, 99, 101, 105, 106, 107, 115, 125, 130, 132, 133, 136, 138, 139, 140, 141, 142, 145, 150, 152, 153, 156, 157, 158, 159, 161, 162, 170, 171, 177, 185], "where": [2, 5, 28, 39, 41, 42, 43, 59, 68, 72, 76, 81, 86, 88, 92, 94, 97, 99, 101, 103, 107, 108, 113, 119, 122, 125, 130, 132, 133, 136, 137, 140, 141, 145, 150, 152, 154, 156, 157, 161, 179, 185], "goal": [2, 24, 35, 73, 76, 77, 78, 82, 83, 86, 87, 88, 89, 90, 94, 117, 118, 119, 125, 145, 148, 149, 155, 156, 185], "take": [2, 15, 28, 46, 73, 76, 79, 80, 81, 85, 89, 91, 93, 94, 96, 98, 100, 101, 104, 105, 106, 107, 110, 128, 134, 140, 142, 150, 153, 154, 157, 165, 177, 179], "finit": [2, 63, 68, 73, 84], "valu": [2, 12, 14, 17, 23, 27, 28, 35, 36, 39, 41, 43, 46, 48, 59, 63, 65, 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70, 72, 73, 79, 80, 81, 83, 84, 85, 89, 94, 98, 101, 102, 104, 107, 108, 109, 110, 116, 117, 122, 129, 130, 132, 133, 135, 136, 137, 138, 140, 142, 143, 145, 146, 149, 151, 154, 156, 157, 163, 177, 179, 185], "particular": [2, 5, 26, 70, 73, 76, 77, 79, 80, 82, 85, 89, 91, 96, 97, 101, 103, 119, 132, 137, 141, 142, 145, 150, 152, 153, 156, 163], "diseas": [2, 5, 24, 73, 129, 135], "result": [2, 28, 65, 73, 76, 78, 79, 80, 81, 83, 84, 85, 88, 89, 91, 93, 94, 96, 98, 99, 100, 101, 102, 103, 110, 113, 114, 115, 117, 118, 119, 122, 123, 124, 125, 126, 127, 129, 132, 133, 135, 136, 137, 138, 139, 142, 143, 145, 146, 150, 151, 152, 154, 156, 157, 163, 165, 178, 179, 181, 185], "medic": [2, 5, 24, 73], "email": 2, "spam": 2, "content": [2, 79, 85, 104, 147, 150], "sender": 2, "titl": [2, 91, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 115, 122, 123, 125, 126, 131, 132, 133, 135, 137, 138, 139, 140, 141, 142, 146, 153, 157, 161, 162, 163, 164], "etc": [2, 24, 28, 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136, 139], "between": [2, 5, 12, 14, 17, 21, 28, 39, 46, 52, 55, 57, 59, 73, 75, 76, 79, 81, 84, 92, 96, 97, 100, 102, 103, 105, 106, 108, 110, 112, 115, 117, 121, 124, 125, 127, 129, 131, 132, 133, 134, 135, 137, 139, 140, 141, 142, 145, 153, 154, 156, 158, 161, 162, 170, 185], "10": [2, 3, 17, 24, 35, 41, 46, 59, 72, 73, 76, 77, 79, 82, 84, 89, 91, 93, 94, 95, 96, 97, 98, 101, 102, 104, 105, 106, 107, 108, 110, 113, 116, 117, 118, 120, 122, 127, 129, 130, 131, 132, 133, 135, 136, 137, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 161, 163, 177, 179, 185], "impact": [2, 17, 43, 46, 55, 84, 86, 87, 88, 89, 95, 96, 102, 103, 113, 117, 122, 130, 133, 136, 145, 153, 156, 161, 179, 181, 182, 183, 185], "comput": [2, 5, 28, 46, 59, 65, 73, 76, 77, 80, 81, 82, 84, 85, 87, 89, 91, 92, 93, 95, 96, 97, 98, 99, 101, 102, 108, 109, 110, 113, 115, 116, 117, 118, 122, 124, 125, 127, 129, 130, 132, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149, 152, 153, 154, 156, 157, 159, 162, 163, 179], "inde": [2, 17, 28, 73, 79, 80, 81, 85, 89, 92, 94, 96, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 115, 116, 117, 118, 124, 125, 126, 127, 131, 132, 133, 135, 137, 138, 139, 141, 142, 143, 145, 146, 147, 151, 152, 154, 157, 158, 161, 162, 163], "usual": [2, 16, 79, 81, 85, 94, 100, 102, 105, 129, 135, 142, 153, 154], "inspect": [2, 5, 28, 59, 63, 81, 90, 101, 103, 109, 114, 117, 123, 126, 130, 131, 132, 136, 137, 139, 141, 150, 153, 154, 157, 159, 161, 163, 185], "regard": [2, 12, 13, 21, 23, 32, 33, 38, 41, 70, 72, 81, 84, 86, 88, 91, 92, 94, 95, 97, 99, 102, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 127, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 155, 157, 159, 160, 161, 162, 163, 164], "tune": [2, 12, 16, 25, 34, 39, 42, 43, 46, 92, 96, 97, 102, 103, 111, 118, 119, 120, 125, 127, 131, 132, 137, 149, 153, 155, 156, 171, 177, 182, 185], "maxim": [2, 46, 94, 96, 133, 147, 148, 149, 150, 154, 155, 156, 157, 175, 182], "involv": [2, 5, 73, 98, 101, 151], "grid": [2, 96, 105, 114, 117, 118, 123, 133, 149, 152, 154, 156, 161, 165, 175, 177, 178, 179, 183, 185], "search": [2, 46, 95, 96, 114, 116, 117, 118, 119, 120, 123, 133, 138, 148, 149, 152, 155, 156, 161, 165, 175, 177, 178, 179, 182, 183, 185], "random": [2, 10, 12, 13, 14, 16, 17, 36, 46, 50, 72, 79, 94, 98, 99, 100, 101, 105, 107, 108, 110, 112, 113, 115, 116, 118, 121, 122, 124, 125, 126, 127, 132, 139, 149, 150, 153, 156, 165, 173, 178, 179, 183], "further": [2, 38, 73, 94, 95, 132, 139, 140, 152, 161, 163], "read": [2, 5, 73, 94, 105, 108, 145, 185], "post": [2, 48, 68, 171], "machin": [2, 22, 28, 33, 35, 39, 55, 57, 63, 68, 71, 73, 79, 80, 81, 83, 84, 85, 86, 88, 90, 92, 93, 96, 97, 98, 99, 100, 101, 110, 119, 124, 125, 126, 127, 132, 133, 136, 138, 139, 141, 142, 145, 150, 154], "mooc": [2, 73, 80, 90, 91, 92, 95, 97, 101, 102, 103, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 157, 159, 160, 161, 162, 163, 164], "refer": [2, 13, 22, 33, 39, 57, 71, 72, 73, 80, 81, 86, 88, 91, 92, 93, 94, 95, 97, 98, 101, 102, 107, 109, 110, 111, 112, 113, 115, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 157, 159, 160, 161, 162, 163, 164, 171, 183], "process": [2, 5, 35, 57, 65, 71, 72, 73, 85, 100, 110, 116, 124, 125, 127, 133, 147, 151, 152, 182], "make": [2, 5, 23, 24, 28, 43, 46, 50, 55, 59, 60, 70, 72, 73, 76, 77, 79, 81, 82, 84, 85, 86, 88, 89, 90, 91, 92, 94, 96, 97, 98, 100, 101, 102, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 129, 130, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 144, 145, 147, 148, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 172], "appli": [2, 5, 14, 15, 16, 17, 23, 25, 26, 28, 38, 42, 43, 46, 48, 50, 52, 59, 60, 63, 65, 68, 72, 81, 84, 85, 90, 99, 102, 104, 105, 107, 132, 140, 147, 150, 151, 153, 156, 161, 163, 172, 173, 175, 179, 181, 185], "unlabel": 2, "word": [2, 28, 138, 160, 164, 179], "equival": [2, 17, 28, 46, 72, 73, 80, 92, 97, 101, 117, 131, 137, 139, 141, 142, 156, 177], "unseen": [2, 65, 73, 99, 100, 117, 157], "notion": 2, "out": [2, 5, 24, 72, 73, 76, 79, 80, 84, 93, 95, 98, 100, 101, 108, 110, 113, 114, 117, 118, 122, 123, 127, 131, 133, 136, 137, 142, 150, 152, 159, 160, 163, 164], "ti": 2, "definit": [2, 139, 151], "distribut": [2, 5, 42, 73, 74, 75, 81, 93, 94, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 116, 132, 133, 141, 145, 147, 149, 152, 154, 156, 158, 162, 179], "condit": [2, 5, 108, 133, 141], "check": [2, 5, 28, 46, 59, 73, 76, 79, 80, 81, 83, 84, 85, 92, 94, 95, 97, 99, 100, 101, 102, 103, 105, 107, 109, 110, 111, 112, 114, 115, 116, 118, 119, 120, 121, 123, 124, 125, 126, 127, 129, 133, 135, 138, 139, 140, 142, 143, 146, 150, 152, 153, 157, 158, 160, 161, 162, 164, 170, 177], "wikipedia": [2, 57, 110], "articl": [2, 5, 57, 110], "finish": [2, 133], "_": [2, 73, 75, 80, 81, 85, 91, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 115, 120, 121, 122, 123, 125, 126, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 145, 146, 151, 153, 157, 158, 161, 162, 163, 164], "end": [2, 81, 84, 91, 92, 94, 95, 97, 98, 99, 101, 102, 103, 105, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 155, 157, 159, 160, 161, 162, 163, 164], "thei": [2, 5, 28, 46, 55, 65, 73, 77, 79, 81, 82, 84, 85, 89, 98, 99, 102, 104, 107, 108, 110, 116, 117, 119, 132, 133, 139, 142, 145, 151, 157, 162, 164, 171, 177, 182], "avail": [2, 5, 28, 35, 48, 72, 73, 74, 75, 76, 80, 90, 94, 95, 104, 106, 107, 112, 121, 125, 127, 133, 138, 140, 142, 151, 154, 177], "after": [2, 17, 27, 46, 76, 84, 101, 104, 110, 113, 116, 117, 120, 122, 138, 151, 155, 156], "been": [2, 73, 76, 79, 84, 91, 99, 101, 108, 109, 116, 122, 125, 135, 141, 151, 152, 157], "slope": [2, 28, 105, 140], "intercept": [2, 39, 128, 129, 130, 134, 135, 136, 137, 138, 139, 140, 141, 157], "one": [2, 5, 13, 17, 24, 36, 41, 42, 46, 57, 65, 68, 72, 73, 75, 76, 78, 79, 80, 81, 83, 84, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 101, 103, 105, 107, 108, 109, 115, 116, 117, 119, 126, 130, 132, 133, 135, 136, 138, 139, 141, 142, 143, 145, 146, 150, 151, 152, 156, 157, 158, 161, 163, 173, 185], "section": [2, 76, 79, 84, 85, 91, 92, 94, 95, 97, 101, 102, 109, 111, 112, 113, 115, 116, 117, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 154, 157, 159, 160, 161, 162, 163, 164], "about": [2, 12, 16, 21, 23, 28, 32, 35, 38, 55, 59, 63, 70, 71, 73, 76, 80, 81, 84, 93, 95, 98, 101, 102, 104, 106, 108, 115, 118, 131, 132, 137, 141, 145, 150, 158, 162, 170, 179, 182, 185], "also": [2, 12, 21, 24, 26, 28, 32, 35, 43, 57, 59, 73, 79, 80, 81, 84, 85, 86, 87, 88, 89, 92, 95, 96, 97, 100, 101, 102, 103, 104, 105, 108, 109, 110, 113, 114, 116, 117, 119, 122, 123, 125, 130, 132, 133, 136, 137, 139, 140, 141, 142, 145, 151, 152, 153, 154, 156, 157, 163], "python": [2, 5, 28, 35, 65, 70, 73, 76, 86, 88, 101, 110, 116, 133, 143, 146], "pass": [2, 17, 28, 46, 59, 65, 72, 76, 84, 85, 86, 88, 92, 96, 97, 101, 110, 140, 143, 144, 146, 147, 149, 150, 152, 156, 157, 163, 185], "anoth": [2, 5, 17, 57, 72, 73, 76, 96, 98, 100, 110, 119, 125, 126, 128, 133, 134, 139, 142, 145, 161], "includ": [2, 28, 33, 35, 63, 84, 96, 104, 125, 126, 129, 130, 133, 135, 136, 137, 139, 151, 174], "gridsearchcv": [2, 5, 96, 118, 123, 149, 150, 152, 154, 156, 161, 177, 179, 185], "someth": [2, 89, 151], "occur": [2, 84, 133], "your": [2, 5, 33, 38, 59, 72, 73, 74, 77, 78, 82, 84, 85, 86, 87, 88, 89, 92, 93, 97, 99, 111, 112, 113, 114, 117, 124, 127, 128, 129, 130, 131, 135, 136, 143, 144, 148, 149, 155, 159, 160, 164, 177, 179], "stick": 2, "too": [2, 5, 60, 80, 90, 96, 101, 102, 113, 116, 117, 119, 122, 132, 133, 135, 137, 150, 156, 161, 179], "so": [2, 5, 13, 28, 46, 65, 73, 75, 81, 83, 84, 86, 88, 91, 92, 97, 98, 99, 100, 101, 104, 105, 108, 109, 114, 115, 117, 123, 129, 132, 133, 135, 137, 138, 139, 142, 143, 146, 151, 152, 156, 163, 177], "up": [2, 5, 9, 34, 43, 73, 76, 79, 84, 94, 96, 98, 101, 103, 107, 108, 125, 128, 134, 139, 140, 142, 150, 162, 165, 182], "nois": [2, 46, 52, 57, 102, 110, 115, 132, 137, 139], "rather": [2, 28, 33, 76, 79, 105, 106, 141, 142, 147, 154, 156], "than": [2, 5, 17, 26, 27, 28, 33, 35, 42, 46, 52, 59, 72, 73, 76, 79, 80, 81, 82, 83, 84, 85, 88, 89, 91, 93, 94, 96, 97, 98, 100, 101, 102, 104, 105, 108, 109, 110, 116, 117, 118, 119, 122, 124, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 141, 142, 145, 147, 149, 150, 152, 153, 154, 156, 157, 160, 161, 164, 174, 177, 179, 185], "relev": [2, 59, 79, 94, 108, 142], "pattern": [2, 22, 73, 94, 124, 127, 143, 146, 152], "tell": [2, 73, 102, 108], "great": [2, 5, 48], "poorli": [2, 88], "real": [2, 48, 73, 79, 80, 84, 85, 99, 101, 128, 134, 142, 145, 162], "world": [2, 162], "fit_predict": 2, "kneighborsclassifi": [2, 59, 77, 80, 82, 185], "decisiontreeregressor": [2, 17, 91, 95, 100, 101, 102, 110, 111, 115, 118, 119, 120, 139, 161, 162, 164, 177], "One": [2, 48, 59, 68, 72, 76, 77, 82, 84, 99, 100, 106, 108, 116, 142, 145, 152], "focu": [2, 17, 73, 79, 101, 104, 107, 109, 115, 133, 142, 145, 150, 151, 157], "were": [2, 28, 65, 76, 79, 85, 94, 101, 102, 106, 115, 124, 127, 128, 134, 142, 154, 156, 161, 164], "If": [2, 5, 27, 28, 36, 41, 52, 65, 73, 76, 80, 84, 91, 92, 94, 95, 96, 97, 100, 101, 102, 107, 108, 109, 111, 112, 113, 116, 117, 118, 119, 120, 121, 122, 125, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 152, 156, 157, 159, 160, 161, 162, 163, 164, 175, 185], "do": [2, 5, 16, 17, 28, 57, 65, 73, 74, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 88, 90, 93, 96, 98, 100, 101, 102, 104, 107, 113, 116, 117, 119, 122, 124, 125, 127, 129, 132, 133, 135, 138, 139, 142, 143, 146, 150, 151, 152, 153, 162, 179, 181, 185], "1d": [2, 28, 139], "5": [2, 3, 17, 28, 59, 65, 72, 73, 75, 76, 80, 81, 82, 83, 84, 85, 90, 91, 94, 95, 96, 97, 98, 99, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 121, 122, 123, 126, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 145, 147, 150, 152, 153, 154, 156, 157, 158, 161, 162, 163, 164, 165, 181, 182, 185], "someon": [2, 73], "come": [2, 5, 28, 55, 73, 79, 115, 118, 125, 128, 134, 140, 151, 152, 162], "doe": [2, 5, 17, 23, 28, 35, 46, 73, 76, 81, 84, 85, 87, 88, 89, 91, 94, 95, 96, 97, 99, 100, 105, 108, 117, 120, 131, 132, 133, 137, 141, 145, 147, 150, 154, 156, 157, 162, 179, 183], "15": [2, 3, 73, 79, 81, 84, 91, 102, 104, 114, 116, 117, 120, 123, 142, 154, 156, 157, 163, 177], "continu": [2, 5, 36, 41, 42, 63, 73, 79, 101, 103, 104, 108, 140, 141, 142, 145, 147, 158, 161], "price": [2, 48, 72, 90, 91, 101, 104, 107, 108, 144, 145, 147], "descript": [2, 28, 48, 72, 73, 77, 82, 91, 92, 95, 97, 101, 102, 107, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 157, 159, 160, 161, 162, 163, 164, 165], "room": [2, 48, 101, 107, 108], "surfac": [2, 28], "locat": [2, 74, 75, 91, 104, 105, 107, 141, 153], "ag": [2, 73, 76, 78, 79, 80, 81, 83, 84, 85, 101, 103, 107, 108, 130, 133, 136, 150, 151, 154], "mri": 2, "scan": [2, 5, 151], "want": [2, 17, 73, 74, 75, 79, 80, 84, 87, 89, 90, 91, 92, 94, 95, 97, 99, 100, 101, 102, 103, 105, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 125, 126, 128, 129, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 157, 158, 159, 160, 161, 162, 163, 164, 177, 179, 185], "tree": [2, 5, 9, 12, 14, 15, 16, 17, 57, 73, 81, 84, 85, 87, 89, 91, 95, 100, 101, 102, 108, 109, 110, 112, 113, 114, 116, 118, 119, 120, 121, 122, 123, 126, 132, 139, 143, 146, 148, 150, 154, 155, 158, 159, 160, 163, 164, 170, 171, 172, 173, 174, 175, 177], "piecewis": [2, 132, 162, 174], "constant": [2, 23, 83, 108, 129, 132, 135, 137, 139, 162, 174], "To": [2, 7, 8, 28, 36, 45, 46, 47, 49, 51, 53, 61, 66, 72, 73, 79, 80, 81, 85, 86, 88, 92, 94, 95, 96, 97, 99, 100, 101, 102, 108, 109, 110, 113, 116, 117, 122, 125, 129, 132, 133, 135, 137, 138, 139, 142, 145, 154, 156, 162, 166, 177], "given": [2, 5, 17, 28, 41, 48, 57, 65, 79, 81, 84, 93, 96, 98, 99, 101, 104, 106, 107, 108, 110, 115, 119, 126, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 147, 152, 154, 163, 172, 179, 181, 182], "output": [2, 17, 41, 73, 76, 81, 84, 85, 100, 101, 105, 108, 110, 128, 129, 132, 134, 135, 141, 142, 147, 163], "correspond": [2, 17, 28, 46, 73, 76, 79, 84, 85, 86, 88, 94, 96, 101, 102, 104, 105, 106, 107, 108, 110, 112, 121, 135, 140, 141, 142, 150, 151, 153, 154, 162, 174, 177], "ridg": [2, 39, 43, 46, 107, 108, 110, 131, 133, 137], "order": [2, 5, 17, 28, 39, 46, 68, 73, 81, 85, 88, 89, 90, 94, 99, 101, 104, 114, 119, 123, 133, 140, 150, 153, 154, 185], "shrink": [2, 43, 133, 137], "constrain": [2, 39, 43, 60, 102, 132], "toward": [2, 43, 108, 125, 133, 137, 141], "zero": [2, 27, 28, 41, 42, 43, 52, 55, 73, 84, 102, 108, 133, 137, 139, 141], "2d": [2, 132, 139], "singl": [2, 14, 15, 17, 23, 24, 26, 27, 28, 34, 41, 42, 43, 46, 48, 52, 59, 63, 65, 68, 72, 73, 76, 79, 81, 84, 85, 90, 93, 96, 98, 99, 100, 101, 108, 110, 115, 118, 119, 120, 125, 126, 128, 129, 132, 134, 135, 139, 142, 143, 145, 146, 150, 151, 152, 157, 161, 163, 172, 173, 174, 175, 177, 179, 181, 185], "orient": [2, 108, 131, 137, 163], "clf": 2, "give": [2, 5, 13, 21, 23, 28, 32, 52, 55, 57, 70, 73, 76, 81, 83, 84, 85, 94, 95, 96, 99, 101, 105, 106, 108, 109, 110, 115, 116, 117, 118, 119, 125, 131, 133, 137, 138, 139, 141, 142, 145, 152, 156, 157, 163], "concret": [2, 28, 57], "graphic": [2, 65, 85, 99, 107, 140], "plot": [2, 17, 28, 46, 59, 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84, 94, 108, 110, 115, 129, 130, 135, 136, 139, 143, 144, 146, 147, 153, 172, 173], "hyper": [5, 17, 36, 96, 98, 152, 156, 179], "control": [5, 43, 77, 81, 82, 92, 96, 97, 102, 117, 119, 125, 131, 132, 137, 139, 148, 149, 151, 153, 155, 156, 157, 161, 172, 182], "import": [5, 12, 17, 21, 28, 35, 36, 46, 57, 59, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 162, 163, 164, 165, 168, 170, 177, 179, 181, 185], "randomsearchcv": 5, "understand": [5, 12, 21, 32, 38, 55, 77, 79, 82, 84, 94, 95, 99, 102, 128, 134, 142, 161, 162, 170, 171, 182], "suit": [5, 132, 145, 171], "intuit": [5, 9, 10, 12, 13, 21, 38, 44, 55, 70, 79, 80, 84, 103, 105, 107, 109, 110, 115, 123, 131, 132, 137, 138, 139, 141, 157, 158, 162, 163, 165], "debug": 5, "build": [5, 17, 28, 46, 70, 72, 73, 80, 90, 92, 97, 110, 116, 126, 129, 132, 135, 150, 161, 165, 167], "combin": [5, 12, 13, 15, 41, 42, 65, 73, 79, 81, 85, 94, 96, 106, 107, 108, 109, 110, 114, 115, 116, 117, 118, 119, 123, 126, 132, 133, 135, 138, 139, 147, 148, 149, 150, 152, 154, 155, 156, 157, 172, 173, 179, 182, 183], "particularli": [5, 72, 86, 88, 117], "few": [5, 73, 74, 75, 78, 79, 83, 101, 104, 106, 107, 117, 119, 129, 132, 135, 137, 152, 158], "benefit": [5, 16, 23, 32, 81, 84, 95, 115, 118, 119, 133, 145, 165], "non": [5, 19, 28, 38, 41, 42, 43, 46, 65, 68, 73, 81, 89, 92, 96, 97, 98, 103, 104, 105, 106, 107, 108, 110, 125, 129, 133, 135, 141, 156, 157, 162, 164, 165, 171, 172, 183], "engin": [5, 39, 42, 46, 94, 105, 129, 130, 133, 135, 136, 165], "base": [5, 12, 13, 14, 15, 17, 28, 33, 35, 41, 48, 59, 73, 74, 75, 81, 87, 89, 94, 101, 103, 105, 110, 115, 118, 119, 125, 126, 129, 130, 135, 136, 137, 139, 141, 142, 147, 150, 152, 157, 158, 165, 185], "seri": [5, 91, 93, 94, 98, 100, 108, 110, 115, 137, 141, 142, 157], "threshold": [5, 14, 26, 73, 90, 107, 157, 162, 163, 173], "variou": [5, 55, 90], "attribut": [5, 36, 73, 81, 84, 94, 96, 101, 107, 108, 110, 112, 121, 131, 137, 138, 139, 141, 149, 150, 154, 156, 179, 185], "tabular": [5, 63, 70, 73, 80, 85, 165], "natur": [5, 21, 35, 80, 84, 85, 101, 105, 110, 132, 133, 154], "miss": [5, 73, 84, 94, 101, 104, 106, 107, 129, 135, 154, 185], "histgradientboostingregressor": [5, 17, 28, 116, 117, 123, 147], "classifi": [5, 14, 23, 26, 41, 68, 74, 75, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 97, 98, 99, 106, 109, 110, 119, 125, 130, 131, 132, 136, 137, 141, 143, 146, 147, 148, 150, 151, 152, 154, 155, 157, 159, 161, 163, 171, 172, 179, 181, 185], "goto": 5, "strongli": [5, 108], "advis": [5, 108], "pointer": 5, "doc": 5, "rich": 5, "didact": [5, 35, 84, 85, 104], "improv": [5, 35, 65, 89, 90, 94, 95, 97, 98, 102, 111, 113, 117, 120, 122, 139, 145, 153, 179, 182], "compris": [5, 142], "guid": [5, 132, 141, 145, 185], "everi": [5, 73, 76, 101, 103, 105, 108, 138, 152], "explain": [5, 17, 28, 38, 57, 85, 108, 115, 116, 122, 126, 137, 145, 150, 170], "demonstr": [5, 85, 91, 109, 115, 116, 133, 139, 161], "good": [5, 21, 24, 46, 73, 76, 78, 79, 80, 83, 84, 85, 87, 89, 99, 100, 101, 102, 106, 108, 117, 118, 119, 126, 128, 129, 133, 134, 135, 137, 138, 141, 142, 150, 152, 153, 154, 156, 157, 179], "softwar": [5, 35, 80], "ask": [5, 124, 127, 128, 131, 134, 137, 142], "question": [5, 79, 87, 89, 104, 128, 129, 130, 134, 135, 136, 137, 142, 156], "stackoverflow": 5, "github": [5, 35, 79, 81, 82, 85, 90, 96, 101, 109, 132, 133, 136, 138, 139, 142, 150, 152, 154, 157, 163, 164], "discuss": [5, 13, 17, 35, 46, 73, 76, 80, 109, 115, 117, 118, 131, 133, 137, 157], "driven": [5, 137], "inclus": 5, "contribut": [5, 59, 81, 94, 133, 156, 179], "other": [5, 13, 26, 28, 35, 43, 59, 72, 73, 76, 80, 81, 84, 85, 86, 88, 91, 92, 93, 97, 98, 99, 100, 103, 105, 108, 110, 117, 125, 129, 133, 135, 136, 138, 139, 141, 145, 150, 152, 153, 154, 160, 163, 164, 179, 182, 185], "advocaci": 5, "curat": 5, "our": [5, 17, 24, 28, 41, 46, 62, 63, 70, 76, 78, 79, 80, 81, 83, 85, 86, 88, 90, 91, 92, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 113, 114, 115, 117, 122, 123, 124, 125, 127, 128, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 145, 146, 151, 153, 157, 158, 162, 164, 165, 185], "overflow": 5, "code": [5, 28, 35, 48, 68, 74, 77, 78, 86, 92, 93, 103, 110, 111, 112, 113, 114, 116, 124, 127, 128, 129, 130, 131, 133, 134, 139, 141, 143, 144, 148, 149, 150, 152, 153, 155, 156, 159, 160, 179], "start": [5, 35, 46, 73, 77, 78, 79, 81, 82, 83, 84, 85, 87, 89, 91, 94, 95, 98, 99, 100, 101, 105, 106, 115, 117, 118, 124, 125, 127, 129, 130, 131, 132, 133, 135, 136, 137, 140, 141, 142, 145, 147, 149, 151, 156, 157, 158], "carpentri": 5, "resourc": [5, 35, 70, 73, 105, 117, 152], "git": 5, "lab": [5, 35], "unsupervis": [5, 48], "structur": [5, 57, 70, 73, 81, 84, 85, 94, 103, 117, 145, 156, 157, 162, 171], "instanc": [5, 46, 63, 73, 79, 80, 81, 84, 94, 101, 104, 105, 107, 108, 111, 114, 120, 123, 124, 125, 126, 127, 129, 132, 133, 135, 138, 140, 142, 144, 145, 147, 151, 154, 175, 181, 182], "sampl": [5, 13, 14, 15, 17, 19, 28, 41, 43, 48, 58, 60, 63, 73, 74, 75, 76, 79, 80, 81, 84, 85, 92, 93, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 113, 115, 116, 117, 119, 122, 124, 127, 128, 130, 132, 133, 134, 136, 137, 139, 140, 141, 142, 147, 149, 150, 152, 154, 156, 157, 158, 160, 161, 162, 164, 165, 174, 183], "supervis": [5, 48, 101, 172], "recov": [5, 17, 94, 133], "link": [5, 14, 78, 79, 83, 94, 104, 105, 106, 107, 108, 117, 124, 127, 142, 145], "drive": 5, "system": [5, 73, 94], "hand": [5, 28, 90, 94, 109, 122, 133, 135, 139, 150, 152], "nuanc": 5, "deep": [5, 89, 117, 118, 161], "better": [5, 16, 17, 27, 46, 72, 76, 80, 83, 87, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 110, 117, 118, 119, 124, 127, 128, 130, 133, 134, 136, 137, 138, 147, 151, 152, 154, 156, 161, 177, 185], "gradient": [5, 9, 12, 13, 15, 16, 17, 28, 81, 85, 109, 113, 114, 118, 122, 123, 147, 150, 154, 165], "boost": [5, 12, 13, 15, 16, 17, 28, 85, 113, 114, 118, 122, 123, 150, 154, 165], "classif": [5, 14, 21, 37, 38, 41, 48, 59, 63, 72, 73, 79, 80, 86, 88, 90, 92, 93, 94, 97, 98, 99, 101, 106, 109, 129, 130, 132, 135, 136, 140, 143, 144, 145, 146, 147, 161, 162, 163, 165, 170, 171, 172, 185], "regress": [5, 17, 21, 26, 37, 38, 39, 40, 41, 42, 43, 44, 48, 52, 57, 59, 65, 72, 79, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 101, 107, 110, 112, 115, 121, 124, 127, 129, 130, 131, 135, 136, 137, 141, 142, 144, 147, 149, 151, 156, 157, 160, 161, 164, 165, 170, 171, 172, 177, 185], "nativ": [5, 73, 79, 84, 85, 101, 125, 136, 139, 150, 152, 154], "task": [5, 41, 72, 73, 79, 90, 101, 103, 106, 132, 141, 172], 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89, 101, 103, 107, 109, 110, 124, 127, 142, 185], "jame": 5, "witten": 5, "hasti": 5, "tibshirani": 5, "theori": [5, 109], "concept": [5, 12, 13, 21, 22, 32, 33, 38, 39, 55, 57, 71, 94, 99, 101, 147, 170, 171, 183], "explor": [5, 46, 74, 75, 79, 81, 84, 97, 103, 112, 114, 121, 123, 132, 133, 139, 149, 150, 152, 153, 154, 156, 165, 185], "kera": 5, "aur\u00e9lien": 5, "g\u00e9ron": 5, "kaggl": 5, "particip": 5, "challeng": [5, 35, 106, 139], "team": 5, "solut": [5, 9, 10, 11, 17, 18, 29, 30, 31, 35, 37, 40, 44, 58, 62, 64, 67, 84, 100, 124, 125, 138, 150, 165, 167, 176, 178, 180], "share": [5, 110], "winner": 5, "wai": [5, 70, 72, 73, 76, 79, 83, 84, 96, 97, 98, 100, 109, 110, 115, 116, 117, 124, 125, 127, 139, 142, 145, 162, 177, 185], "now": [5, 17, 28, 46, 59, 72, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 88, 91, 92, 93, 94, 95, 97, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 142, 143, 146, 148, 150, 152, 153, 154, 155, 157, 159, 160, 161, 163, 164, 177, 185], "touch": 5, "briefli": 5, "fit": [5, 13, 23, 25, 28, 38, 39, 41, 42, 43, 46, 50, 63, 65, 76, 77, 79, 82, 83, 84, 87, 89, 90, 92, 96, 97, 98, 100, 101, 102, 108, 109, 110, 112, 113, 115, 116, 117, 118, 119, 120, 121, 122, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141, 142, 145, 147, 150, 151, 152, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 170, 174, 179], "wider": [5, 35, 52], "mai": [5, 24, 42, 43, 46, 48, 73, 79, 81, 101, 107, 117, 129, 130, 133, 135, 136, 137, 138, 141, 142, 147, 154, 156, 161, 163], "fail": [5, 100, 132, 143, 146], "weak": [5, 15, 117, 137, 154], "analysi": [5, 70, 79, 92, 97, 106, 107, 133, 145, 154, 156, 157, 165, 178], "kei": [5, 7, 8, 45, 47, 49, 51, 53, 61, 65, 66, 92, 97, 99, 102, 117, 120, 123, 125, 126, 137, 142, 150, 151, 154, 161, 166], "achiev": [5, 17, 73, 78, 81, 83, 95, 97, 106, 132, 133, 161], "reliabl": [5, 94, 141], "even": [5, 35, 38, 60, 75, 76, 80, 84, 85, 87, 88, 89, 94, 98, 100, 101, 103, 109, 116, 117, 122, 125, 132, 133, 137, 139, 141, 142, 143, 144, 146, 147, 150, 156, 182, 183], "cross": [5, 12, 17, 21, 22, 23, 24, 25, 28, 32, 33, 38, 39, 43, 46, 55, 56, 58, 59, 64, 65, 72, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 102, 103, 107, 108, 114, 115, 116, 117, 118, 119, 122, 123, 124, 125, 126, 127, 129, 130, 133, 135, 136, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 161, 165, 170, 175, 177, 179, 182, 183, 185], "accuraci": [5, 17, 26, 59, 65, 72, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 92, 94, 96, 97, 98, 99, 106, 109, 115, 125, 126, 127, 128, 130, 131, 134, 136, 137, 141, 143, 146, 147, 150, 151, 152, 153, 154, 155, 156, 157, 159, 163, 185], "imperfect": [5, 108], "estim": [5, 12, 16, 21, 28, 32, 38, 43, 46, 55, 59, 65, 70, 76, 80, 81, 84, 85, 90, 96, 98, 100, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 122, 123, 124, 125, 127, 129, 130, 133, 135, 136, 139, 144, 145, 147, 150, 151, 152, 154, 170, 177, 179, 182, 185], "actual": [5, 73, 77, 80, 82, 91, 100, 101, 102, 117, 132, 142, 145, 152], "gener": [5, 16, 17, 21, 22, 27, 28, 46, 49, 55, 57, 58, 59, 65, 76, 78, 79, 80, 81, 83, 84, 85, 86, 88, 89, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 106, 107, 109, 110, 111, 112, 113, 115, 116, 117, 118, 119, 120, 121, 122, 124, 125, 126, 127, 129, 130, 133, 135, 136, 137, 139, 141, 142, 144, 145, 147, 148, 149, 150, 151, 152, 154, 155, 156, 162, 165, 168, 177, 179, 185], "As": [5, 28, 46, 73, 76, 79, 80, 81, 84, 85, 87, 89, 92, 94, 96, 97, 98, 103, 104, 106, 107, 108, 110, 115, 116, 132, 133, 137, 141, 142, 144, 145, 147, 151, 152, 153, 156, 157, 161, 164], "narrow": 5, "spend": [5, 105, 117], "increasingli": 5, "effort": [5, 105], "split": [5, 14, 17, 22, 28, 36, 41, 43, 65, 73, 76, 78, 83, 84, 85, 91, 94, 96, 99, 100, 101, 104, 108, 111, 115, 116, 117, 119, 120, 122, 124, 127, 142, 145, 150, 152, 154, 157, 159, 161, 162, 163, 172, 173], "afford": 5, "trust": [5, 79, 80, 81, 82, 85, 90, 96, 101, 109, 132, 133, 136, 137, 138, 139, 142, 150, 151, 152, 154, 157, 163, 164], "think": [5, 74, 75, 100, 105, 129, 135, 137], "carefulli": [5, 94], "complet": [5, 14, 28, 35, 46, 96, 98, 124, 127, 132, 133, 149, 152, 156, 179], "futur": [5, 73, 76, 85, 90, 100, 101, 105, 136, 142, 150, 159, 163], "upon": [5, 90, 97, 98], "affect": [5, 100, 133, 137, 141, 150, 157, 159, 162, 163], "live": [5, 133], "sure": [5, 17, 59, 79, 81, 84, 89, 114, 123], "divers": [5, 157], "demograph": [5, 103, 118], "increas": [5, 15, 17, 27, 28, 42, 43, 46, 50, 52, 57, 75, 81, 84, 97, 101, 102, 108, 113, 116, 117, 122, 130, 133, 136, 137, 140, 141, 150, 154, 156, 157, 159, 161, 162, 163, 175, 183], "coverag": 5, "phrase": 5, "recommend": [5, 35, 70, 73, 84], "identifi": [5, 12, 70, 85, 94, 97, 102, 142, 179], "ani": [5, 14, 17, 28, 35, 42, 72, 73, 76, 79, 81, 83, 85, 88, 89, 91, 94, 97, 99, 100, 101, 102, 103, 105, 106, 107, 108, 110, 117, 118, 119, 123, 124, 125, 126, 127, 132, 133, 138, 141, 145, 150, 152, 153, 156, 161, 174, 185], "bia": [5, 36, 50, 55, 57, 108, 129, 130, 132, 135, 136, 145, 165], "acquisit": 5, "full": [5, 7, 8, 17, 35, 45, 47, 48, 49, 51, 53, 61, 65, 66, 76, 77, 81, 82, 84, 96, 101, 117, 122, 124, 126, 127, 140, 148, 152, 155, 166, 179, 182], "chain": [5, 76, 81, 85], "acquir": [5, 12, 21, 32, 38, 55, 102, 105, 170, 182], "fanci": 5, "put": [5, 32, 36, 81, 102, 108, 133, 157], "product": [5, 96, 99, 101, 129, 133, 135, 150], "routin": [5, 17, 94, 185], "debt": 5, "simpler": [5, 13, 46, 85, 137], "easier": [5, 81, 84, 91, 139, 145], "maintain": 5, "less": [5, 28, 43, 85, 94, 100, 103, 107, 108, 109, 110, 117, 118, 126, 130, 132, 133, 135, 136, 137, 139, 150, 156], "power": [5, 28, 35, 105, 117, 118, 129, 133, 135, 139, 157], "drift": 5, "gave": [5, 142], "methodolog": [5, 35, 55, 101, 162], "element": [5, 21, 80, 84, 94, 101, 133, 134, 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110, 133], "overcrowd": 5, "unit": [5, 73, 79, 81, 84, 85, 101, 103, 105, 107, 108, 109, 133, 136, 138, 140, 145, 150, 154], "chang": [5, 27, 28, 36, 46, 81, 93, 98, 108, 109, 113, 122, 125, 133, 145, 148, 151, 155, 157, 182, 185], "inpati": 5, "chose": [5, 52, 73, 115, 133], "load": [5, 17, 63, 74, 75, 76, 77, 81, 82, 84, 85, 86, 88, 92, 95, 96, 97, 99, 100, 101, 102, 103, 106, 107, 109, 111, 116, 117, 118, 120, 129, 130, 131, 132, 133, 135, 136, 137, 138, 139, 142, 150, 151, 153, 154, 157, 158, 159, 160, 161, 162, 163, 164, 179, 185], "interest": [5, 48, 73, 74, 75, 91, 93, 98, 99, 101, 102, 103, 105, 107, 110, 115, 129, 132, 135, 136, 138, 139, 141, 142, 145, 147, 150, 151, 152, 153, 154, 156, 163, 185], "focus": [5, 13, 60, 107, 109, 133, 142, 152], "easi": [5, 72, 85, 100, 101, 105, 132, 161], "accumul": 5, "target": [5, 17, 28, 38, 39, 42, 46, 48, 57, 59, 63, 65, 72, 73, 74, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 163, 177, 185], "proxi": [5, 142], "reflect": [5, 101, 110, 119], "ground": [5, 115, 142], "truth": [5, 115, 142], "polici": [5, 24], "uneven": 5, "across": [5, 41, 46, 76, 81, 91, 108, 133, 141, 154, 185], "popul": [5, 73, 101, 103, 107, 108, 142, 156], "eg": 5, "qualiti": [5, 108, 141, 145, 152], "affair": 5, "desir": [5, 78, 83, 119, 133], "qualif": 5, "respons": 5, "women": 5, "pai": [5, 84, 109], "men": 5, "pick": [5, 28, 90, 96, 104, 105, 108, 116, 151, 182], "amplifi": 5, "inequ": 5, "mechan": [5, 28, 80, 81, 152], "die": 5, "naiv": [5, 17, 28, 73, 96, 106, 116, 119], "bad": [5, 88, 97, 127, 133, 142, 179], "health": [5, 35], "fallaci": 5, "compar": [5, 12, 16, 17, 21, 28, 36, 46, 48, 58, 59, 72, 73, 76, 78, 80, 81, 83, 84, 85, 86, 88, 96, 97, 98, 102, 107, 108, 110, 113, 115, 116, 120, 122, 125, 126, 127, 129, 130, 133, 135, 136, 142, 145, 154, 156, 157, 165, 177, 185], "wors": [5, 17, 27, 46, 72, 97, 98, 100, 138, 177], "baselin": [5, 21, 23, 78, 83, 85, 86, 88, 93, 94, 97, 98, 118, 165], "heart": [5, 28, 105, 129, 135], "pressur": 5, "greater": [5, 28, 72, 132], "trigger": 5, "care": [5, 33, 46, 84, 96, 99, 106, 107, 124, 127, 133], "which": [5, 13, 15, 16, 17, 22, 24, 26, 28, 32, 33, 39, 41, 43, 46, 57, 65, 68, 71, 72, 73, 76, 79, 80, 81, 83, 84, 85, 89, 90, 91, 92, 95, 96, 97, 98, 100, 101, 102, 103, 105, 106, 107, 108, 109, 110, 115, 116, 117, 119, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 145, 146, 147, 149, 150, 151, 153, 154, 156, 157, 161, 162, 163, 170, 171, 172, 177, 179, 181, 183, 185], "learner": [5, 13, 109, 110, 115, 117, 118], "predictor": [5, 13, 14, 15, 16, 65, 80, 81, 85, 98, 102, 120, 130, 133, 136, 150, 157], "pure": [5, 127, 163], "benefici": [5, 32, 81, 117, 125, 152, 154, 161], "intervent": [5, 73], "brittl": 5, "interpret": [5, 16, 35, 103, 105, 107, 108, 131, 135, 136, 137, 138, 139, 145, 153, 157, 163], "subject": [5, 73, 142], "caution": [5, 89, 108], "feedback": 5, "loop": [5, 96, 108, 148, 150, 152, 155, 185], "todai": 5, "ai": 5, "alloc": 5, "loan": 5, "screen": [5, 7, 8, 45, 47, 49, 51, 53, 61, 66, 166], "job": [5, 81], "prioritis": 5, "treatement": 5, "law": [5, 28], "enforc": [5, 100, 105, 117, 133, 137], "court": 5, "fairlearn": [5, 73], "assess": [5, 24, 46, 76, 80, 93, 95, 96, 98, 102, 113, 122, 128, 133, 134, 142, 145, 152, 156], "shift": [5, 81, 137], "technolog": [5, 94], "induc": [5, 108, 110, 130, 136, 137], "societi": 5, "though": [5, 98, 116, 144, 147], "difficult": [5, 105, 117, 138, 145], "intersect": [5, 103, 153, 156], "No": [5, 23], "found": [5, 59, 96, 106, 107, 114, 117, 123, 133, 138, 148, 150, 152, 155, 156, 157, 161, 162, 179, 185], "short": [5, 33, 79, 107, 118, 158], "move": [5, 85, 103, 105, 136, 137, 153, 156], "choos": [5, 17, 35, 73, 86, 88, 101, 108, 124, 125, 127, 132, 133, 139, 141, 152, 175, 185], "revolut": 5, "fantast": [5, 127], "opportun": 5, "With": [5, 36, 88, 101, 105, 117, 125, 126, 142, 150, 154, 161], "lift": 5, "roadblock": 5, "hope": [5, 90, 132, 145], "empow": 5, "varieti": [5, 35, 76], "mindset": 5, "dream": 5, "being": [5, 41, 91, 141, 156], "adventur": 5, "navig": [7, 8, 45, 47, 49, 51, 53, 61, 66, 166], "slide": [7, 8, 45, 47, 49, 51, 53, 61, 66, 103, 131, 132, 137, 141, 153, 156, 166], "first": [7, 8, 28, 45, 47, 49, 51, 53, 55, 61, 62, 63, 64, 66, 70, 74, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 112, 114, 115, 116, 117, 118, 119, 121, 123, 124, 125, 126, 127, 129, 132, 133, 135, 138, 139, 141, 142, 143, 144, 145, 146, 147, 150, 152, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 182], "click": [7, 8, 14, 45, 47, 49, 51, 53, 61, 66, 103, 153, 156, 166, 179], "press": [7, 8, 45, 47, 49, 51, 53, 61, 66, 166], "arrow": [7, 8, 45, 47, 49, 51, 53, 61, 66, 166], "go": [7, 8, 12, 21, 28, 32, 35, 38, 45, 47, 49, 51, 53, 55, 61, 66, 70, 76, 77, 82, 84, 92, 94, 96, 97, 100, 101, 102, 103, 105, 107, 108, 115, 118, 125, 141, 142, 147, 150, 157, 166, 170, 182], "next": [7, 8, 45, 47, 49, 51, 53, 57, 61, 66, 79, 80, 84, 90, 92, 93, 97, 98, 99, 100, 109, 115, 117, 118, 129, 132, 133, 135, 137, 139, 151, 157, 166], "previou": [7, 8, 15, 17, 21, 28, 45, 46, 47, 49, 51, 53, 59, 61, 63, 65, 66, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 93, 94, 95, 96, 98, 99, 100, 101, 102, 110, 111, 114, 115, 116, 117, 119, 120, 123, 124, 127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 143, 146, 148, 150, 151, 152, 153, 154, 155, 156, 157, 159, 160, 163, 164, 166, 177, 179, 182, 185], "p": [7, 8, 45, 47, 49, 51, 53, 61, 66, 94, 135, 166], "toggl": [7, 8, 45, 47, 49, 51, 53, 61, 66, 166], "mode": [7, 8, 35, 45, 47, 49, 51, 53, 61, 66, 166], "adapt": [9, 99, 118, 139, 145, 154, 165], "adaboost": [9, 12, 115, 165], "gbdt": [9, 109, 122, 165], "exercis": [9, 10, 11, 18, 28, 29, 30, 31, 35, 37, 40, 44, 46, 58, 62, 64, 67, 79, 84, 117, 132, 138, 139, 150, 152, 157, 165, 167, 176, 177, 178, 180], "m6": [9, 10, 11, 117, 165], "03": [9, 11, 20, 28, 30, 40, 44, 54, 64, 67, 165, 176], "speed": [9, 28, 33, 34, 43, 105, 108, 125, 152, 154, 165], "quiz": [9, 10, 11, 18, 19, 20, 29, 30, 35, 37, 40, 44, 54, 56, 58, 62, 64, 67, 156, 165, 167, 168, 169, 176, 178, 180], "02": [9, 10, 19, 29, 40, 58, 64, 81, 165, 167, 176, 178], "bag": [10, 12, 14, 15, 109, 111, 117, 118, 119, 120, 165], "introductori": [10, 141, 165], "forest": [10, 12, 13, 14, 16, 17, 36, 108, 112, 113, 115, 116, 118, 121, 122, 125, 126, 165], "thi": [12, 13, 17, 21, 22, 26, 28, 32, 33, 35, 38, 39, 42, 46, 48, 49, 55, 57, 59, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 170, 171, 174, 177, 179, 182, 183, 185], "togeth": [12, 13, 67, 72, 80, 81, 88, 93, 94, 96, 98, 109, 115, 165], "ensembl": [12, 13, 16, 17, 28, 57, 85, 87, 89, 108, 109, 110, 113, 115, 116, 117, 119, 120, 121, 122, 123, 125, 126, 147, 148, 150, 152, 154, 155], "famili": [12, 13, 38, 55, 57, 73, 79, 81, 85, 118, 136, 151], "techniqu": [12, 32, 73, 108, 132], "bootstrap": [12, 13, 17, 117, 118, 119, 120, 165], "ii": [12, 21, 76, 80, 138], "belong": [12, 17, 46, 79, 83, 84, 94, 97, 106, 141, 147, 157, 163, 177], "former": [12, 73, 81, 125, 142], "strategi": [12, 13, 17, 21, 22, 23, 24, 28, 59, 76, 78, 80, 83, 86, 88, 90, 91, 93, 94, 96, 98, 99, 100, 101, 104, 109, 110, 113, 116, 119, 122, 129, 130, 134, 135, 136, 138, 142, 145, 152, 182, 185], "later": [12, 17, 73, 79, 80, 90, 97, 101, 116, 131, 135, 137, 139, 142, 149, 150, 152, 156], "hyperparamet": [12, 16, 25, 39, 42, 46, 59, 92, 95, 96, 97, 102, 103, 111, 115, 118, 120, 127, 131, 132, 133, 137, 147, 149, 156, 157, 170, 171, 178, 179, 180, 181, 182, 183], "allow": [12, 13, 28, 43, 65, 73, 76, 79, 81, 84, 92, 97, 101, 104, 107, 108, 117, 124, 127, 128, 133, 134, 139, 140, 141, 143, 146, 152, 154, 157, 161, 162, 163, 170, 179, 182, 183], "skill": [12, 21, 32, 38, 55, 70, 170, 182], "carri": [12, 21, 32, 38, 46, 55, 70, 84, 95, 107, 126, 170, 182], "basic": [12, 21, 32, 35, 38, 49, 55, 70, 99, 101, 108, 120, 145, 170, 182], "usag": [12, 21, 32, 38, 55, 79, 104, 105, 106, 107, 119, 139, 152, 170, 182], "mainli": [12, 13, 21, 32, 38, 73, 104, 157, 170], "around": [12, 21, 32, 38, 73, 79, 90, 94, 97, 100, 101, 102, 105, 108, 135, 137, 142, 145, 170], "overfit": [12, 15, 17, 21, 28, 32, 38, 43, 46, 50, 52, 55, 57, 58, 59, 60, 95, 96, 100, 108, 109, 110, 113, 117, 118, 119, 122, 126, 131, 132, 133, 135, 136, 137, 152, 156, 161, 165, 170, 172, 175], "valid": [12, 17, 21, 22, 23, 24, 25, 28, 32, 33, 38, 39, 43, 46, 55, 56, 57, 59, 64, 65, 72, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 107, 108, 113, 114, 115, 116, 117, 118, 119, 122, 123, 124, 125, 126, 127, 129, 130, 133, 135, 136, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 161, 162, 165, 170, 175, 177, 179, 182, 183, 185], "principl": [12, 21, 33, 142], "through": [12, 21, 28, 32, 35, 38, 55, 70, 92, 97, 102, 108, 114, 123, 133, 140, 141, 143, 146, 150, 170, 179, 182], "hour": [12, 21, 38, 55, 70, 73, 76, 78, 79, 80, 81, 83, 84, 85, 103, 130, 136, 150, 151, 154, 170, 182], "saw": [13, 28, 39, 46, 79, 81, 84, 85, 101, 102, 115, 117, 133, 138, 141, 143, 146, 150, 152, 153, 154, 157, 161, 162, 163, 171], "parallel": [13, 15, 103, 115, 152, 153, 156, 179], "sequenti": [13, 15, 52, 81, 116, 117, 153, 179], "intern": [13, 43, 65, 81, 85, 96, 101, 109, 110, 113, 114, 122, 123, 133, 145, 147, 150, 152, 179], "machineri": [13, 109, 115], "art": 13, "learn": [13, 15, 16, 22, 23, 26, 27, 28, 33, 36, 37, 39, 41, 43, 50, 57, 59, 63, 65, 67, 68, 71, 73, 76, 77, 79, 81, 82, 83, 84, 85, 86, 88, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 106, 107, 109, 112, 114, 116, 117, 119, 121, 123, 124, 125, 126, 127, 132, 133, 135, 136, 139, 141, 142, 143, 145, 146, 147, 150, 152, 153, 155, 158, 159, 162, 163, 171, 172, 173, 174, 180, 181, 183, 185], "earli": [13, 28, 113, 114, 122, 123], "stop": [13, 28, 86, 88, 91, 98, 105, 113, 114, 117, 122, 123], "stack": 13, "By": [14, 17, 28, 43, 46, 73, 81, 84, 96, 99, 102, 105, 119, 127, 130, 133, 136, 142, 145, 147, 160, 164, 177], "default": [14, 17, 26, 27, 43, 46, 59, 65, 76, 77, 81, 82, 84, 92, 97, 99, 105, 111, 117, 118, 120, 130, 132, 133, 136, 142, 143, 144, 145, 146, 147, 151, 152, 177, 182], "baggingclassifi": [14, 119], "baggingregressor": [14, 110, 111, 118, 119, 120], "draw": [14, 28, 73, 93, 98, 103, 110, 117, 125, 136, 154, 157, 179], "replac": [14, 28, 46, 84, 104, 105, 107, 110, 132], "without": [14, 35, 37, 46, 59, 73, 77, 80, 82, 91, 94, 96, 97, 100, 101, 104, 105, 106, 117, 118, 125, 126, 129, 130, 131, 133, 135, 136, 137, 138, 142, 143, 145, 146, 163, 165, 185], "d": [14, 15, 16, 17, 19, 24, 26, 28, 36, 41, 42, 43, 46, 48, 50, 52, 59, 60, 63, 65, 68, 72, 73, 80, 94, 165, 172, 177, 179, 181, 185], "answer": [14, 15, 16, 17, 23, 24, 25, 26, 27, 28, 34, 41, 42, 43, 46, 48, 50, 52, 59, 60, 63, 65, 68, 72, 84, 104, 129, 135, 137, 156, 172, 173, 174, 175, 177, 179, 181, 185], "hint": [14, 27, 28, 46, 59, 72, 74, 75, 77, 78, 82, 83, 87, 89, 129, 131, 133, 135, 137, 159, 163, 185], "base_estim": 14, "decid": [14, 21, 73, 79, 101, 107, 124, 127, 129, 135, 152], "resampl": [14, 50, 72, 96, 105, 109, 130, 133, 136], "perform": [14, 16, 17, 18, 21, 22, 23, 25, 28, 33, 34, 46, 59, 63, 65, 72, 75, 76, 78, 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133, 135, 136, 139, 149, 150, 151, 156, 165, 177, 185], "tend": [15, 28, 94, 117, 118, 132, 133, 137, 145, 152], "true": [15, 17, 26, 28, 41, 46, 52, 57, 59, 65, 72, 80, 91, 94, 95, 96, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 111, 113, 114, 115, 116, 117, 118, 120, 122, 123, 125, 128, 129, 130, 132, 133, 134, 135, 136, 141, 142, 145, 147, 149, 150, 152, 156, 157, 163, 175, 179, 185], "shallow": [16, 109, 115, 117, 161], "deeper": [16, 91, 92, 95, 97, 101, 102, 109, 111, 112, 113, 116, 117, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 157, 159, 160, 161, 162, 163, 164], "exist": [16, 73, 76, 94], "maximum": [16, 28, 81, 84, 96, 102, 139, 142, 150, 154, 157, 159, 160, 162, 163, 164, 172, 175], "depth": [16, 17, 35, 74, 75, 102, 107, 109, 115, 116, 117, 118, 129, 131, 135, 137, 141, 148, 155, 157, 158, 159, 160, 161, 162, 163, 164, 172, 175, 177], "rate": [16, 28, 80, 91, 95, 101, 105, 117, 142, 150, 153, 155], "option": 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105, 115, 116, 132, 154], "500": [17, 59, 84, 85, 88, 101, 105, 107, 145, 153, 154], "1_000": [17, 28, 94, 113, 122], "decreas": [17, 28, 43, 46, 52, 57, 81, 108, 116, 125, 133, 145, 150, 156], "becom": [17, 92, 95, 97, 102, 108, 116, 117, 150, 154, 163, 179], "reach": [17, 95, 102, 113, 122, 150, 153, 161, 179], "plateau": [17, 95, 113, 122], "experi": [17, 35, 46, 59, 70, 78, 83, 92, 94, 95, 96, 97, 101, 102, 107, 113, 114, 116, 122, 123, 131, 137, 143, 146, 156, 159, 162, 163], "instead": [17, 28, 46, 59, 72, 76, 80, 81, 84, 86, 87, 88, 89, 91, 92, 94, 95, 97, 98, 101, 105, 110, 115, 117, 118, 119, 129, 130, 133, 135, 136, 139, 142, 143, 144, 145, 146, 147, 148, 149, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 177], "max_depth": [17, 102, 109, 110, 113, 114, 115, 117, 118, 122, 123, 139, 157, 162, 163, 164, 177], "gap": [17, 102, 133], "begin": [17, 80, 113, 122, 132, 133, 152], "consid": [17, 42, 59, 68, 72, 84, 100, 102, 104, 107, 108, 109, 115, 116, 117, 119, 132, 133, 139, 143, 146, 157, 163, 172, 181, 185], "none": [17, 46, 92, 94, 97, 101, 104, 105, 106, 107, 110, 113, 117, 118, 122, 132, 139, 153, 185], "rf_1_tree": 17, "cv_results_tre": 17, "train_scor": [17, 28, 102, 133], "return": [17, 27, 28, 41, 43, 65, 76, 79, 80, 84, 86, 88, 103, 108, 110, 115, 128, 133, 134, 140, 141, 142, 150, 151, 153, 154, 179], "83120264": 17, "83309064": 17, "83195043": 17, "84834224": 17, "85790323": 17, "86235297": 17, "84791111": 17, "85183089": 17, "82241954": 17, "85045978": 17, "perfect": [17, 41, 55, 91, 101, 108, 115, 124, 126, 127, 142, 161], "r2": [17, 27, 100, 107, 118, 123, 145, 147], "surpris": [17, 83, 94, 99, 100, 124, 127, 157, 163], "memor": [17, 80, 100, 101, 102], "expect": [17, 28, 65, 73, 75, 79, 84, 85, 96, 99, 100, 101, 107, 110, 117, 127, 129, 133, 135, 136, 145, 147, 152, 156, 161], "automat": [17, 65, 73, 79, 81, 84, 86, 88, 101, 151, 152, 177, 182], "prevent": [17, 42, 84, 88, 110, 117, 179], "max_it": [17, 28, 81, 84, 85, 88, 94, 116, 117, 123, 130, 136, 137], "recal": [17, 26, 59, 84, 96, 101, 116, 118, 131, 137, 142, 151, 152, 154, 156, 185], "averag": [17, 28, 59, 80, 91, 94, 98, 99, 101, 105, 107, 108, 110, 115, 116, 117, 118, 119, 122, 125, 133, 137, 138, 142, 145, 147, 185], "small": [17, 39, 72, 75, 76, 85, 94, 97, 99, 101, 102, 108, 110, 115, 116, 117, 129, 131, 133, 135, 137, 139, 148, 150, 155, 179], "behav": [17, 92, 97, 98, 131, 133, 137, 177], "high": [17, 28, 36, 50, 52, 57, 63, 73, 75, 79, 83, 84, 97, 102, 103, 104, 105, 106, 107, 108, 132, 137, 141, 150, 151, 154], "optimum": 17, "m7": [18, 19, 20, 29, 30, 165], "stratif": [19, 165], "framework": [21, 22, 33, 55, 56, 95, 99, 102, 114, 123, 144, 147, 152, 165, 182], "keep": [21, 28, 73, 90, 94, 101, 103, 104, 105, 107, 108, 125, 126, 127, 129, 131, 135, 136, 137, 139, 141, 152, 154], "mind": [21, 73, 101, 108, 117, 124, 125, 126, 127, 154], "metric": [21, 26, 28, 65, 76, 80, 95, 100, 101, 106, 110, 111, 113, 120, 121, 122, 125, 129, 133, 134, 135, 138, 139, 143, 144, 145, 146, 147, 153, 162, 165, 185], "besid": [21, 22, 32, 38, 79, 85, 87, 89, 91, 94, 95, 114, 123, 125, 157, 170, 183], "insight": [21, 32, 35, 46, 63, 73, 100, 102, 110, 124, 127, 140, 141, 145, 154], "addit": [21, 28, 42, 68, 76, 80, 84, 101, 105, 107, 113, 114, 118, 119, 122, 123, 133, 135, 139, 140, 142, 145, 150, 151, 152, 154, 156, 177], "necess": [21, 101], "appropri": [21, 73, 103], "nest": [21, 22, 25, 117, 133, 148, 150, 152, 155, 165, 177, 183, 185], "wise": [22, 132, 152, 153, 183], "encount": [22, 72, 84, 86, 88, 99], "show": [22, 38, 73, 74, 75, 76, 78, 79, 80, 81, 82, 83, 84, 85, 90, 95, 96, 99, 101, 102, 103, 104, 107, 109, 110, 115, 117, 118, 119, 126, 128, 129, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 146, 150, 151, 152, 153, 154, 156, 157, 159, 162, 163, 164, 170, 179, 182], "comparison": [22, 39, 96, 118, 142], "remov": [23, 34, 46, 73, 105, 108, 116, 127, 129, 135, 150, 153, 185], "dummi": [23, 59, 78, 83, 88, 91, 93, 98, 142, 145], "reli": [23, 73, 79, 81, 108, 109, 126, 142], "ye": [23, 41, 42], "whatev": [23, 153], "chosen": [23, 84, 88, 106, 113, 122, 145, 183], "record": [24, 28, 48, 73, 80, 84, 101, 105, 106, 108], "suppos": [24, 84, 94], "imbalanc": [24, 59, 73, 98, 133, 142, 185], "addition": [24, 81, 103, 133], "suspect": 24, "systemat": [24, 50, 57, 72, 97, 145, 151], "bias": [24, 132], "due": [24, 28, 83, 85, 99, 115, 119, 147, 157], "factor": [24, 28, 91, 137, 145], "devic": [24, 28], "socioeconom": 24, "most": [24, 28, 46, 59, 73, 79, 80, 83, 84, 88, 89, 92, 93, 94, 97, 98, 101, 104, 108, 109, 110, 116, 125, 130, 133, 136, 137, 138, 141, 142, 143, 146, 150, 153, 157, 163, 172, 174, 177, 179], "suitabl": 24, "abil": [24, 102, 142, 148, 155], "stratifi": [24, 93, 98, 99, 185], "leav": [24, 80, 92, 97, 103, 117, 154, 161, 163], "inner": [25, 96, 114, 123, 133, 152, 177], "outer": [25, 96, 114, 122, 123, 132, 133, 152, 177, 185], "balanc": [26, 59, 102, 117, 133, 142, 143, 145, 146, 185], "roc": [26, 142], "auc": [26, 142], "precis": [26, 28, 57, 85, 117, 140, 142, 143, 146, 150], "regular": [26, 36, 38, 39, 43, 46, 108, 110, 132, 154, 162, 165, 183], "assum": [26, 28, 42, 43, 52, 68, 88, 99, 100, 108, 133, 139, 141, 177], "logist": [26, 40, 41, 43, 65, 79, 81, 84, 85, 86, 87, 88, 89, 92, 93, 94, 97, 98, 99, 124, 127, 130, 131, 136, 137, 141, 142, 151, 157, 165], "stronger": [26, 105, 110, 137, 156], "lead": [26, 57, 73, 84, 85, 88, 94, 100, 103, 115, 117, 118, 119, 133, 135, 136, 137, 142, 149, 152, 153, 154, 156], "lower": [26, 27, 28, 46, 52, 88, 94, 95, 98, 101, 103, 105, 108, 117, 122, 133, 135, 137, 142, 145, 147, 152, 156, 161, 163], "r": [27, 97, 100, 101, 107, 108, 144, 145, 147], "absolut": [27, 28, 46, 91, 95, 101, 102, 111, 112, 113, 115, 116, 120, 121, 122, 129, 130, 134, 135, 136, 138, 139, 144, 145, 147], "median": [27, 90, 91, 96, 101, 107, 108, 118, 123, 125, 126, 133, 136, 145, 146, 173, 174], "cross_val_scor": [27, 59, 94, 96, 100, 101, 119, 127, 143, 144, 146, 147, 148, 155], "model_a": 27, "neg_mean_squared_error": [27, 133, 147], "strictli": 27, "model_b": 27, "rememb": [27, 46, 73, 103, 110, 129, 130, 135, 136, 137, 181, 185], "alia": 27, "neg": [27, 28, 46, 65, 101, 102, 103, 108, 133, 134, 140, 142], "guarante": [27, 108], "either": [27, 68, 80, 94, 97, 99, 124, 125, 127, 134, 141, 142, 145], "open": [28, 35, 46, 59, 72, 77, 79, 82, 100, 104, 105, 177], "bike_rid": [28, 105], "command": [28, 46, 59, 72, 177, 185], "cycl": [28, 105], "index_col": [28, 100, 105, 153, 154, 179], "parse_d": [28, 100, 105], "index": [28, 46, 73, 80, 94, 99, 100, 105, 108, 110, 116, 125, 129, 133, 135, 137, 141, 146, 150, 152, 157], "appendix": [28, 91, 92, 95, 97, 101, 102, 109, 111, 112, 113, 116, 118, 119, 120, 121, 122, 128, 129, 131, 133, 134, 135, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 157, 159, 160, 161, 162, 163, 164], "remind": 28, "cheap": [28, 48, 85], "sensor": [28, 73, 105], "gp": [28, 105], "cyclist": [28, 105], "meter": [28, 105], "expens": [28, 72, 116, 150, 183], "blindli": 28, "introduc": [28, 35, 80, 81, 101, 108, 110, 125, 129, 130, 133, 135, 136, 139, 140, 145, 147, 165], "flavor": 28, "classic": 28, "newton": 28, "second": [28, 36, 72, 81, 84, 87, 89, 93, 98, 99, 105, 109, 115, 116, 132, 145, 154, 161, 163], "p_": 28, "meca": 28, "rho": 28, "sc_x": 28, "v_": 28, "c_r": 28, "mg": 28, "co": 28, "alpha": [28, 43, 46, 73, 94, 97, 107, 108, 109, 110, 115, 121, 131, 132, 133, 134, 137, 138, 139, 140, 141, 145, 157, 161, 162, 163, 164], "sin": 28, "ma": 28, "v_d": 28, "air": 28, "densiti": [28, 132], "kg": [28, 158], "m": [28, 84, 94], "frontal": 28, "c_x": 28, "drag": 28, "coeffici": [28, 36, 39, 42, 46, 107, 130, 131, 133, 135, 136, 137, 139, 140, 141, 145, 172], "v_a": 28, "roll": 28, "rider": 28, "bicycl": 28, "standard": [28, 46, 73, 76, 81, 85, 86, 88, 93, 94, 96, 98, 101, 102, 108, 114, 123, 133, 142, 152], "graviti": 28, "radian": 28, "equat": [28, 138, 141], "complex": [28, 43, 60, 79, 85, 86, 88, 90, 95, 104, 115, 130, 136, 137, 143, 146, 161, 162], "term": [28, 73, 80, 81, 100, 101, 110, 112, 115, 116, 119, 121, 125, 130, 136, 140, 157, 162], "within": [28, 33, 76, 94, 96, 99, 101, 107, 108, 110, 114, 116, 123, 125, 132, 133, 144, 147, 152, 153, 157, 164], "parenthesi": 28, "produc": [28, 163], "fight": [28, 38], "wind": 28, "resist": 28, "tire": 28, "floor": 28, "third": [28, 115, 132, 135], "hill": 28, "forward": [28, 105], "fourth": 28, "last": [28, 46, 68, 84, 99, 104, 106, 130, 132, 133, 136, 139, 141, 142, 143, 146], "hi": [28, 106], "simplifi": [28, 46, 100, 101, 125, 141, 156, 158, 177], "beta_": 28, "closer": [28, 43, 99, 105, 131, 133, 137, 141], "previous": [28, 46, 72, 84, 85, 92, 97, 100, 104, 109, 115, 116, 117, 118, 129, 132, 135, 137, 139, 141, 145, 148, 150, 152, 154, 155, 161, 162], "part": [28, 73, 84, 85, 96, 102, 108, 116, 127, 128, 133, 134, 137, 142, 157, 159, 163], "cube": 28, "multipli": [28, 136, 147], "sine": 28, "angl": 28, "arc": 28, "tangent": 28, 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