auc |
Area Under the Curve |
auc.default |
Area Under the Curve |
auc.gbm |
Area Under the Curve |
auc.glm |
Area Under the Curve |
auc.glmerMod |
Area Under the Curve |
auc.randomForest |
Area Under the Curve |
auc.rpart |
Area Under the Curve |
brier |
Brier Score |
brier.default |
Brier Score |
brier.gbm |
Brier Score |
brier.glm |
Brier Score |
brier.glmerMod |
Brier Score |
brier.randomForest |
Brier Score |
brier.rpart |
Brier Score |
ce |
Classification error |
ce.default |
Classification error |
ce.gbm |
Classification error |
ce.glm |
Classification error |
ce.glmerMod |
Classification error |
ce.lm |
Classification error |
ce.randomForest |
Classification error |
ce.rpart |
Classification error |
confusionMatrix |
Confusion Matrix |
f1Score |
F1 Score |
fScore |
F Score |
gini |
GINI Coefficient |
gini.default |
GINI Coefficient |
gini.gbm |
GINI Coefficient |
gini.glm |
GINI Coefficient |
gini.glmerMod |
GINI Coefficient |
gini.randomForest |
GINI Coefficient |
gini.rpart |
GINI Coefficient |
kappa |
kappa statistic |
logLoss |
Log Loss |
logLoss.default |
Log Loss |
logLoss.gbm |
Log Loss |
logLoss.glm |
Log Loss |
logLoss.glmerMod |
Log Loss |
logLoss.randomForest |
Log Loss |
logLoss.rpart |
Log Loss |
mae |
Mean absolute error |
mae.default |
Mean absolute error |
mae.gbm |
Mean absolute error |
mae.glm |
Mean absolute error |
mae.glmerMod |
Mean absolute error |
mae.randomForest |
Mean absolute error |
mae.rpart |
Mean absolute error |
mauc |
Multiclass Area Under the Curve |
mcc |
Matthews Correlation Coefficient |
mlogLoss |
Multiclass Log Loss |
mse |
Mean Square Error |
mse.default |
Mean Square Error |
mse.glm |
Mean Square Error |
mse.lm |
Mean Square Error |
msle |
Mean Squared Log Error |
msle.default |
Mean Squared Log Error |
msle.gbm |
Mean Squared Log Error |
msle.glm |
Mean Squared Log Error |
msle.glmerMod |
Mean Squared Log Error |
msle.lm |
Mean Squared Log Error |
msle.randomForest |
Mean Squared Log Error |
msle.rpart |
Mean Squared Log Error |
npv |
Negative Predictive Value |
ppv |
Positive Predictive Value |
precision |
Positive Predictive Value |
recall |
Recall, Sensitivity, tpr |
rmse |
Root-Mean Square Error |
rmse.default |
Root-Mean Square Error |
rmse.glm |
Root-Mean Square Error |
rmse.lm |
Root-Mean Square Error |
rmsle |
Root Mean Squared Log Error |
rmsle.default |
Root Mean Squared Log Error |
rmsle.gbm |
Root Mean Squared Log Error |
rmsle.glm |
Root Mean Squared Log Error |
rmsle.glmerMod |
Root Mean Squared Log Error |
rmsle.lm |
Root Mean Squared Log Error |
rmsle.randomForest |
Root Mean Squared Log Error |
rmsle.rpart |
Root Mean Squared Log Error |
sensitivity |
Recall, Sensitivity, tpr |
specificity |
Specificity, True negative rate |
testDF |
Test data |
tnr |
Specificity, True negative rate |
tpr |
Recall, Sensitivity, tpr |