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

Table 4

Hyperparameter tuning.

Model	Accuracy before hyperparameter tuning	Accuracy after hyperparameter tuning
		Precision score	Best score
Random Forest	0.79	0.83	0.81
Gradient Boost	0.75	0.81	0.81
Decision Tree	0.70	0.71	0.72
AdaBoost	0.69	0.70	0.72
Support Vector	0.68	0.75	0.71