H13-311 Web TestEngine demo

If the model does not meet expectations, you need to use data cleansing and feature engineering.

After model training is complete, you need to use the test dataset to evaluate your model so that its
generalization capability meets expectations.

If overfitting occurs, you can add a regularization term to the Lasso or ridge regression and adjust hyperparameters.

If underfitting occurs, you can use a more complex regression model, for example, logistic regression.