R: Evaluation of Binary Classifiers

# Evaluation of Binary Classifiers

## Documentation for package ‘evabic’ version 0.1.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

add_names | Add names to a vector
ebc_ACC | Derived measures.
ebc_allmeasures | Available measures
ebc_AUC | Area under the curve
ebc_AUC_from_measures | Area under the curve
ebc_BACC | Derived measures.
ebc_confusion | Confusion matrix
ebc_DOR | Derived measures.
ebc_F1 | Derived measures.
ebc_FDR | Derived measures.
ebc_FN | Confusion measures.
ebc_FNR | Derived measures.
ebc_FOR | Derived measures.
ebc_FP | Confusion measures.
ebc_FPR | Derived measures.
ebc_NLR | Derived measures.
ebc_NPV | Derived measures.
ebc_PLR | Derived measures.
ebc_PPV | Derived measures.
ebc_tidy | Tidy output for measures
ebc_tidy_by_threshold | Measures by threshold
ebc_TN | Confusion measures.
ebc_TNR | Derived measures.
ebc_TP | Confusion measures.
ebc_TPR | Derived measures.