Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques

Table 5

Accuracy, incorrectly classified instances, recall, and precision for Naive Bayes on training and testing data.

Method	Accuracy (correctly classified instances)	Incorrectly classified instances	Recall	Precision
Naive Bayes (training data)	65.82%	34.18%	65.55%	65.10%
Naive Bayes (testing data)	64.33%	35.67%	64.67%	63.8 8%