Model v1
These was the steps of the model-v1 using Logistic Regression, I also used feature engineering and numerical and categorical transformations. The data was not balanced by any technique and the model was not tunned as well.
- File name:
19_01_22_lr_v1.sav
Pipeline
graph TD
A[Transformed Data: second-eda-output.csv] --> B[Type conversion];
B[Type conversion] --> C[Train Test Split];
C[Train Test Split] --> D[One Hot Encoder on all categorical variables];
D[One Hot Encoder] --> E[Fit Logistic Regression];
E[Fit Logistic Regression] --> F[Predict];
F[Predict] --> G[Calculate Metrics];
Confusion Matrix
