metrics {MachineShop} | R Documentation |
Compute measures of agreement between observed and predicted responses.
accuracy( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) auc( observed, predicted = NULL, metrics = c(MachineShop::tpr, MachineShop::fpr), stat = MachineShop::settings("stat.Curve"), ... ) brier(observed, predicted = NULL, ...) cindex(observed, predicted = NULL, ...) cross_entropy(observed, predicted = NULL, ...) f_score( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), beta = 1, ... ) fnr(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) fpr(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) kappa2( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) npv(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) ppv(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) pr_auc(observed, predicted = NULL, ...) precision( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) recall( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) roc_auc(observed, predicted = NULL, ...) roc_index( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), f = function(sensitivity, specificity) (sensitivity + specificity)/2, ... ) rpp(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) sensitivity( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) specificity( observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ... ) tnr(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) tpr(observed, predicted = NULL, cutoff = MachineShop::settings("cutoff"), ...) weighted_kappa2(observed, predicted = NULL, power = 1, ...) gini(observed, predicted = NULL, ...) mae(observed, predicted = NULL, ...) mse(observed, predicted = NULL, ...) msle(observed, predicted = NULL, ...) r2(observed, predicted = NULL, dist = NULL, ...) rmse(observed, predicted = NULL, ...) rmsle(observed, predicted = NULL, ...)
observed |
observed responses; or confusion, performance curve, or resample result containing observed and predicted responses. |
predicted |
predicted responses if not contained in
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cutoff |
numeric (0, 1) threshold above which binary factor probabilities are classified as events and below which survival probabilities are classified. |
... |
arguments passed to or from other methods. |
metrics |
list of two performance metrics for the calculation [default: ROC metrics]. |
stat |
function or character string naming a function to compute a
summary statistic at each cutoff value of resampled metrics in performance
curves, or |
beta |
relative importance of recall to precision in the calculation of
|
f |
function to calculate a desired sensitivity-specificity tradeoff. |
power |
power to which positional distances of off-diagonals from the
main diagonal in confusion matrices are raised to calculate
|
dist |
character string specifying a distribution with which to estimate
the survival mean in the total sum of square component of |