assess_prediction {gausspred} | R Documentation |
These functions evaluate predictive probabilities with average minus log probabilities, error rate, and average loss for a defined loss function, or calculate calibration table.
comp_amlp (probs_pred, responses) comp_er (probs_pred, responses) comp_loss (probs_pred, y_true, Mloss) cal_tab (probs_pred, true_y, ix_y, no_cat=10)
probs_pred |
a matrix of the predictive probabilities, with rows for cases, columns for groups (different values of response). |
Mloss |
a matrix defining a loss function, with rows for true values, and columns for predicted values. |
responses, y_true, true_y |
a vector of true values of response in test cases. |
ix_y |
the index of column used to produce calibration table. |
no_cat |
number of categories in producing calibration table. |
comp_amlp
returns average minus log probabilities, comp_er
returns error rate, comp_loss
returns average loss, and expected loss, cal_tab
returns a calibration data frame.
## See train_pred_gau