Returns a data frame with evaluation score of binary classification including the below.
true_positive - Number of positive predictions that actually are positive.
false_positive - Number of positive predictions that actually are negative.
true_negative - Number of negative predictions that actually are negative.
false_negative - Number of negative predictions that actually are positive.
test_size - The number of tested data.
threshold - threshold value for prediction.
There are two ways to access. One is to access from 'Add' (Plus) button.
Another way is to access from a column header menu.
Predicted Probability Column - The column with predicted values. Usually, it's predicted_probability in the framework of Exploratory.
Actual Value Column - The column with actual value.
Threshold Value to Decide Predicted Label - You can choose how to decide threshold for predicted label.
Use Optimized Value - This searches threshold to optimize the chosen metric. It can be
Set threshold value manually.