SAP HANA Predictive Analysis Library (PAL)

PAL_CHAID_TREEMODEL_TBL:
PAL_CHAID_PMML_TBL:
3.2.6 Confusion Matrix
Confusion matrix is a traditional method to evaluate the performance of classification algorithms, including the
multiple-class condition.
The following is an example confusion matrix of a 3-class classification problem. The rows show the original
labels and the columns show the predicted labels. For example, the number of class 0 samples classified as
class 0 is a; the number of class 0 samples classified as class 2 is c.
Table 110:
Class 0 Class 1 Class 2
Class 0 a b c
Class 1 d e f
Class 2 g h i
From the confusion matrix, you can compute the precision, recall, and F1-score for each class. In the above
example, the precision and recall of class 0 are:
F1-score is a combination of precision and recall as follows:
You can also calculate the Fβ-score:
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 157