Insurance_ML

Case Predictive Model for Insurance with Machine Learning.

Objective: prediction of insurance renewal.

Dataset: anonymized data.

Pre-processing:

• StandScaler

Models Classifier:

• Logistic Regression
• Naive Bayes
• XGBoosting
• Random Foresting

Metrics:

• AUC

Parameter Optimization and Cross Validation:

• GridSearch

Results:

Choice: Model chosen 'Random Forest without hyperparameters due to complexity and training being simpler and similar performance with hyperparameters.

Random Forest: