Statistics of a model.
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#include <sb.h>
Statistics of a model.
- Note
- In multi-model case may happen that a FALSE NEGATIVE sample is associated with a FALSE POSITIVE sample. In this case the error weighs double in the statistics calculation.
- See also
- sb_t_stat.
Definition at line 11397 of file sb.h.
◆ accuracy
float sb_t_stat_model::accuracy |
accuracy
accuracy = (tp + tn) / (tp + tn + fp + fn)
Definition at line 11499 of file sb.h.
◆ fn
Count of False Negative.
Definition at line 11438 of file sb.h.
◆ fp
Count of False Positive.
Definition at line 11428 of file sb.h.
◆ mod_disabled
int sb_t_stat_model::mod_disabled |
Count of samples with model disabled.
Definition at line 11474 of file sb.h.
◆ on
Count of Optional Negative.
Definition at line 11457 of file sb.h.
◆ op
Count of Optional Positive.
Definition at line 11448 of file sb.h.
◆ out_of_roi
int sb_t_stat_model::out_of_roi |
Count of Out Of ROI.
Definition at line 11466 of file sb.h.
◆ precision
float sb_t_stat_model::precision |
precision
precision = tp / (tp + fp)
Definition at line 11487 of file sb.h.
◆ recall
float sb_t_stat_model::recall |
recall
recall = tp / (tp + fn)
Definition at line 11493 of file sb.h.
◆ score
float sb_t_stat_model::score |
Level score.
Score of the model on the processed level. It is computed only in SVL mode.
The range of the values is [0, 1]
Used only with Surface projects.
Definition at line 11513 of file sb.h.
◆ specificity
float sb_t_stat_model::specificity |
specificity
specificity = tn / (tn + fp)
Definition at line 11505 of file sb.h.
◆ tn
Count of True Negative.
- Retina: count of True Negative samples. Moreover, the value is set to 1 if an image has no samples and no occurrences have been found.
- Surface, Deep Surface: count of True Negative blobs if blob analysis has been performed.
- Deep Cortex: count of True Negative images.
Definition at line 11418 of file sb.h.
◆ tp
Count of True Positive.
Definition at line 11407 of file sb.h.
The documentation for this struct was generated from the following file: