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backward-feature-elimination

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rosarioscavo / UCI-Spambase

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This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

random-forest data-analysis logistic-regression decision-trees support-vector-machines k-nearest-neighbors spambase-dataset backward-feature-elimination
  • Updated May 28, 2024
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