sukhman-singh-1612 / data-science-projects Goto Github PK

There has been a small mistake while naming the confusion matrix and distribution plot in the model evaluation in the recent project Pima Indians Diabetes Prediction. I have mistakenly titled the confusion matrix heatmap and distribution plot for random forest classifier and SVM, to logistic regression. However the plot is created for the desired model with correct data.

In the medical cost prediction workbook

Pls check cell number 177 - The Accuracy needs the Parameters y_test and dtree_pred but you took something else , which is not making sense

print('MAE:', mean_absolute_error(y_test, dtree_pred))
print('MSE:', mean_squared_error(y_test, dtree_pred))
print('RMSE:', np.sqrt(mean_squared_error(y_test, dtree_pred)))
print('Accuracy:', dtree.score(x_test,y_test))