Getting Started Guide

Contents

Quality Metrics for Multi-class Classification Algorithms

For
l
classes
C
1
, ...,
C
l
, given a vector
X
= (
x
1
, …,
x
n
) of class labels computed at the prediction stage of the classification algorithm and a vector
Y
= (
y
1
, …,
y
n
) of expected class labels, the problem is to evaluate the classifier by computing the confusion matrix and connected quality metrics: precision, error rate, and so on.
QualityMetricsId
for multi-class classification is
confusionMatrix
.
1

Product and Performance Information

1

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Notice revision #20110804