Insurance premium (is getting predicted)

-EDA done -Used two algorithms 1. Linear regression 2. Random forest

Evaluations:

1. Model 1 -R2 score = 0.7668905583460908 -MSE = 35174149.32705306 -KFold, Mean R-squared (across 5 folds) = 0.7407 -Feature importance: Feature 0: 0.1700 Feature 1: -0.0001 Feature 2: 0.0554 Feature 3: 0.0059 Feature 4: 1.2101 Feature 5: 0.0019

2. Model 2 -R2 score = 0.8484299401426575 -MSE = 22870579.07696349 -KFold, Mean R-squared (across 5 folds) = 0.8318 -Feature importance: Feature 0: 0.1940 Feature 1: -0.0016 Feature 2: 0.2635 Feature 3: 0.0196 Feature 4: 1.4723 Feature 5: 0.0105

Commited once after submission since the graph wasn't showing properly.