Classifier

definition

A classifier is a classification model constructed based on existing data. The model can map data records in the database to one of the given categories, thereby being applied to data prediction.

Classifier construction and implementation

The construction and implementation of the classifier generally goes through the following steps:

• Select samples (including positive samples and negative samples) and divide all samples into two parts: training samples and test samples;
• Execute the classifier algorithm on the training samples to generate a classification model;
• Execute the classification model on the test sample and generate prediction results;
• Based on the prediction results, the necessary evaluation indicators are calculated to evaluate the performance of the classification model.

Several basic classifiers

1. Decision tree classifier: Provided with a set of attributes, the decision tree classifies the data by making a series of decisions based on the attribute set.
2. Selection Tree Classifier: The Selection Tree Classifier uses similar techniques as the Decision Tree Classifier to classify the data.
3. Evidence classifiers: Classify data by examining the likelihood of a particular outcome.