An overall performance values. More...
Public Attributes | |
int | num_labels |
Number of labels. | |
crfsuite_label_evaluation_t * | tbl |
Array of label-wise evaluations. | |
int | item_total_correct |
Number of correctly predicted items. | |
int | item_total_num |
Total number of items. | |
int | item_total_observation |
Total number of occurrences of labels in the gold-standard data. | |
int | item_total_model |
Total number of predictions. | |
floatval_t | item_accuracy |
Item-level accuracy. | |
int | inst_total_correct |
Number of correctly predicted instances. | |
int | inst_total_num |
Total number of instances. | |
floatval_t | inst_accuracy |
Instance-level accuracy. | |
floatval_t | macro_precision |
Macro-averaged precision. | |
floatval_t | macro_recall |
Macro-averaged recall. | |
floatval_t | macro_fmeasure |
Macro-averaged F1 score. |
An overall performance values.
Instance-level accuracy.
Number of correctly predicted instances.
Total number of instances.
Item-level accuracy.
Number of correctly predicted items.
Total number of predictions.
Total number of items.
Total number of occurrences of labels in the gold-standard data.
Macro-averaged F1 score.
Macro-averaged precision.
Macro-averaged recall.
Number of labels.
Array of label-wise evaluations.