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Classifier Evaluation Metrics: Example

 

Actual Class\Predicted class

cancer = yes

cancer = no

Total

Recognition(%)

 

cancer = yes

90

210

300

30.00 ( sensitivity

 

cancer = no

140

9560

9700

98.56 ( specificity)

 

Total

230

9770

10000

96.40 ( accuracy )

Precision = 90/230 = 39.13% Recall = 90/300 = 30.00%


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