In this chapter, we will cover the following recipes:
- Building a simple classifier
- Building a logistic regression classifier
- Building a Naive Bayes classifier
- Splitting a dataset for training and testing
- Evaluating accuracy using cross-validation
- Visualizing a confusion matrix
- Extracting a performance report
- Evaluating cars based on their characteristics
- Extracting validation curves
- Extracting learning curves
- Estimating a income bracket
- Predicting the quality of wine
- Newsgroup trending topics classification
