Step 4 - Split the Data

1 Credit Card Fraud Detection - About the Project

2 Step 0 - Workflow

3 Step 1 - Import the Modules

4 Importing the Modules

5 Step 2 - Load the Dataset

6 Loading the Data

7 Step 3 - Explore the Data

8 Checking for Nulls

9 Exploring the Class Column

10 Visualizing the class Imbalance

11 Understanding Class-Imbalance

12 Step 4 - Split the Data

13 Splitting the Data

14 Step 5 - Feature Scaling

15 Feature Scaling

16 Step 6 - Apply SMOTE Technique

17 Understanding SMOTE

18 Applying SMOTE technique

19 Step 7 - Build the Model

20 Training the Classification Algorithm

21 Step 8 - Evaluate the Model

22 Get Confusion matrix and Recall

23 Visualize the Confusion Matrix

24 ROC-AUC Curve

25 Summary