Table 1 Normalized confusion matrix for multiclass problems.

From: Novel method of building train and test sets for evaluation of machine learning models related to software bugs assignment

 

Predicted class

Department K

Department L

Department M

Department N

Actual class

 Department K

\(\frac{X_{KK}}{\sum {X}}\)

\(\frac{X_{KL}}{\sum {X}}\)

\(\frac{X_{KM}}{\sum {X}}\)

\(\frac{X_{KN}}{\sum {X}}\)

 Department L

\(\frac{X_{LK}}{\sum {X}}\)

\(\frac{X_{LL}}{\sum {X}}\)

\(\frac{X_{LM}}{\sum {X}}\)

\(\frac{X_{LN}}{\sum {X}}\)

 Department M

\(\frac{X_{MK}}{\sum {X}}\)

\(\frac{X_{ML}}{\sum {X}}\)

\(\frac{X_{MM}}{\sum {X}}\)

\(\frac{X_{MN}}{\sum {X}}\)

 Department N

\(\frac{X_{NK}}{\sum {X}}\)

\(\frac{X_{NL}}{\sum {X}}\)

\(\frac{X_{NM}}{\sum {X}}\)

\(\frac{X_{NN}}{\sum {X}}\)