R: Rapid Calculation of Model Metrics

# Rapid Calculation of Model Metrics

## Documentation for package ‘ModelMetrics’ version 1.2.2.2

- DESCRIPTION file.

## Help Pages

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