This dataset contains water quality metrics from 2,556 different water bodies. The primary purpose of this dataset is to serve as a basis for a binary classification problem: predicting whether water is potable (safe for human consumption) based on its chemical and physical properties.
Features
The dataset consists of 10 columns. The first 9 are features, and the last one is the target variable.