TABLE I. Performance Comparison Between the Proposed KNN-ACGAN Model and the Four General Prediction Methods.

Model	Precision	Recall	F1-score
KNN-SVM	0.75	0.98	0.85
KNN-RF	0.63	0.95	0.75
KNN-DNN	0.81	1.00	0.89
KNN-CNN	0.77	0.98	0.86
KNN-ACGAN	0.92	0.98	0.95

SVM: Support vector machine; RF: Random forest; DNN: Original deep neural network; CNN: Convolution neural network.