A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI

Table 5

Cross validation.

Model	Parameters	Accuracy
Gradient Boosting	n_estimators = 500, max_features = log2	0.79
Random Forest	n_estimators = 100, max_features = auto	0.81