Systematic Framework to Predict Early-Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques

Table 14

Wrapper Method-based accuracy and error rate for complete dataset during training.

Models	Accuracy (R2-Score) training (↑)	MSE training (↓)
Random Forest Regression (Forward Selection)	0.904	0.0591
Random Forest Regression (Backward Elimination)	0.9053	0.0587
Random Forest Regression (Bidirectional Elimination)	0.9053	0.0587