The supporting information contents are elemental properties to generate choice-based feature vectorization, heatmap showing the intercorrelation among different selected features, best hyperparameters found for random forest regressor (RFR), estimation of optimized number of trees for random forest ML model, cross validation score for random forest regressor, optimized hyperparameters and mean absolute percentage error for decision trees regressor, predicted capacity and number of K ion intercalated per unit formula weight.