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

Table 12

Duplicate Feature Elimination-based Regression algorithms with accuracy and error rate during training and testing.

Models	Accuracy (R2-Score) training (↑)	Accuracy (R2-Score) testing (↑)	MSE training (↓)	MSE testing (↓)
Linear Regression	0.5534	0.2594	0.126	0.1694
Ridge Regression	0.5534	0.2612	0.126	0.1692
LASSO Regression	0.3511	0.3364	0.1518	0.1603
Elastic Net Regression	0.4078	0.4019	0.1451	0.1522
Decision Tree	0.9993	-0.0327	0.0051	0.2
Support Vector Regression	0.7063	0.1806	0.1022	0.1782
Multilayer Perceptron Regression	−238.646	−185.6239	2.9181	2.6886
Random Forest Regression	0.8912	0.4864	0.0622	0.141