Crate parsnip[−][src]
Functions
categorical_accuracy |
The categorical accuracy of a dataset Returns a float where 1.0 is a perfectly accurate dataset |
f1_score |
The recall of a dataset Returns an f1 score where 1 is perfect and 0 is atrocious. |
fbeta_score |
The recall of a dataset Returns the hamming loss which is the percentage of items which are misclassified [0, 1] |
gini |
Compute the gini impurity of a dataset. |
hamming_loss |
The recall of a dataset Returns the hamming loss which is the percentage of items which are misclassified [0, 1] |
jaccard_similiarity_score |
The recall of a dataset Returns the hamming loss which is the percentage of items which are misclassified [0, 1] |
precision |
The precision of a dataset Returns a float where a 1.0 is a perfectly precise result set |
recall |
The recall of a dataset Returns a float where a 1.0 is a perfectly recalled result set |