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 |