Skip to main content

Table 3 The Confusion matrix to evaluate the performance of the BDAS predictive model

From: Designing and evaluating a big data analytics approach for predicting students’ success factors

 

Predicted values

 

Positive

Negative

Actual values

 Positive

True positive (TP)

False negative (FN)

Recall/sensitivity

\(\frac{TP}{( TP+FN)}\)

 Negative

False positive (FP)

True negative (TN)

 
 

Precision

\(\frac{TP}{( TP+FP)}\)

 

Accuracy

\(\frac{TP+TN}{(TP+TN+FP+FN)}\)