ClassifierAccuracyReport
A report on the accuracy of the classifier.
Elements
| Name | Type | Description |
|---|---|---|
| size | int | The size of the arrays in this structure. |
| accuracy | float | The overall accuracy of the classifier, from 0 to 1000. Refer to the Determining the Quality of a Trained Classifier section of Chapter 15, Binary Processing, in the NI Vision Concepts Manual. |
| classNames | char** | The names of the classes of this classifier. Each name in the array is a NULL-terminated string. |
| classAccuracy | double* | An array of size elements that contains accuracy information for each class. The class accuracy indicates the probability that the classifier classifies a sample into the correct class. Each row shows how the classifier classified all of the samples known to be in a certain class. Refer to the Classifier Accuracy section of Chapter 15, Binary Particle Classification, in the NI Vision Concepts Manual for more information about this field. |
| classPredictiveValue | double* | An array containing size elements that contains the predictive values of each class. The predictive values indicate the probability that a sample classified into a given class belongs to that class. Refer to the Classifier Predictability section of Chapter 15, Binary Particle Classification, in the NI Vision Concepts Manual for more information about this field. |
| classificationDistribution | int** | A two-dimensional array containing information about how the classifier classifies its samples. This array is a square array, with both dimensions containing size elements. Refer to the Determining the Quality of a Trained Classifier section of Chapter 15, Binary Particle Classification, in the NI Vision Concepts Manual for more information about this field. |