Constructing a Classifier

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