Metrics
This is the module for metric functions.
Accuracy
-
metric.
accuracy
()
This function measures the percentage of the well-predicted test data.
Loss
-
metric.
loss
()
Function for cross validation. It is the inverse of the accuracy.
Root Mean Square Error
-
metric.
rmse
()
Root Mean Squared Error Summary of this function goes here
Diversity
-
metric.
diversity
()
This function measures the diversity of an ensemble.
PAIRS