# A function for evaluating arrays of predictive probabilities with the true class labels of test cases

### Description

This function is used to find error rate, amlp, loss and predictive probabilities at true labels.

### Usage

1 |

### Arguments

`out_pred` |
a list returned by function |

`y_ts` |
a vector of true class labels. |

`Mloss` |
a matrix indicting loss function, with element |

; by default, it is NULL.

### Value

`probs_at_truelabels` |
a matrix of predictive probabilities at true labels, with rows for cases, and columns for different numbers of retained features |

`summary` |
a data frame, with rows for different numbers of retained features, and columns: |

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.