Table 6.

Various ML algorithms and the corresponding accuracies achieved by each model

Algorithms	Accuracy [%]
Random forest	86.2
XGBoost	85.8
K-Neighbors neighbors	81.7
Decision tree	81.4
Milt-layer perceptron	80.5
Support vector machine	79.5
Stochastic gradient descent	67.8
Ridge	67.8
Linear regression	67.8
Ridge CV	67.7
Bayesian ridge	67.7
Lasso CV	67.7
Elastic net CV	67.7
Gaussian process regression	66.1
Partial least squared regression	65.5
Lasso	51.2
Elastic net	51.2
Kernel ridge	41.9