Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predicted the interest rates for 1648 entries.
-
Notifications
You must be signed in to change notification settings - Fork 0
Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predict…
Jaswanth1020/Interest-Prediction-for-Personal-Loans
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predict…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published