accuracy |
Accuracy |
ae |
Absolute Error |
ape |
Absolute Percent Error |
apk |
Average Precision at k |
auc |
Area under the ROC curve (AUC) |
bias |
Bias |
ce |
Classification Error |
f1 |
F1 Score |
fbeta_score |
F-beta Score |
ll |
Log Loss |
logLoss |
Mean Log Loss |
mae |
Mean Absolute Error |
mape |
Mean Absolute Percent Error |
mapk |
Mean Average Precision at k |
mase |
Mean Absolute Scaled Error |
mdae |
Median Absolute Error |
MeanQuadraticWeightedKappa |
Mean Quadratic Weighted Kappa |
mse |
Mean Squared Error |
msle |
Mean Squared Log Error |
params_binary |
Inherit Documentation for Binary Classification Metrics |
params_classification |
Inherit Documentation for Classification Metrics |
params_regression |
Inherit Documentation for Regression Metrics |
percent_bias |
Percent Bias |
precision |
Precision |
rae |
Relative Absolute Error |
recall |
Recall |
rmse |
Root Mean Squared Error |
rmsle |
Root Mean Squared Log Error |
rrse |
Root Relative Squared Error |
rse |
Relative Squared Error |
ScoreQuadraticWeightedKappa |
Quadratic Weighted Kappa |
se |
Squared Error |
sle |
Squared Log Error |
smape |
Symmetric Mean Absolute Percentage Error |
sse |
Sum of Squared Errors |