enesbol / Classification-Algortihms-on-Anonymized-Data

Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE

Classification-Algortihms-on-Anonymized-Data

Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE

CatBoost Model Pipeline

1-Imputer

2-Encoder

3-Scaler

3-Balancer with SvmSmote

4-Feature Genarator with FeatureTools using Deep Feature Synthesis

5-Feature Selector with RFE

6-HyperParameter Tuning with Bayesian Optimization

7-Cross Validation with K-Fold Cross Validation

CatBoost Model with Oversampled Data With Svmsmote - hGBM Model With Oversampled Data With Kmeanssmote

Comparison of Hyper Parameters optimized Models