One Data Set with All different Algorithms
Steps followed:
- Import all the required libraries
- Read data set and create pandas Data Frame
- Recode decision variable
- Create Input feature matrix and dependent variable (X and Y)
- divide data into Train and Test samples
- Run different algorithms on the train data and validate on test data
- Capture Accuracy levels of each model/algorithm
- Calculate the performance of each algorithm (TPR and FPR)
- Plot ROC curves all models into One single plot