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

Table 8

Accuracy, incorrectly classified instances, recall, and precision for Random Forest on training and testing data.

Method	Accuracy (correctly classified instances)	Incorrectly classified instances	Recall	Precision
Random Forest (training data)	80.84%	19.16%	80.41%	80.93%
Random Forest (testing data)	63.43%	36.57%	63.29%	62.80%