Splitting the data into training and testing subsets

After your dataset is cleaned and transformed, consider splitting the data into training and testing subsets.

The training subset is the dataset portion the model will be trained on, while the testing subset will be used to test the model against unseen data to evaluate its performance.

The best practice for proportions is 70% for training and 30% for testing. Try different ratios of the subsets to achieve better results.

Beware of model overfitting. This is when the model is too reliant on the data and biased to the training dataset.