Student Performance Prediction

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Accuracy

Accuracy=TP+TNTP+TN+FP+FNAccuracy = \frac{TP + TN}{TP + TN + FP + FN}

Meaning

Percentage of correctly classified instances.


Precision

Precision=TPTP+FPPrecision = \frac{TP}{TP + FP}

Meaning

Out of all students predicted as Placed, how many were actually placed?


Recall (Sensitivity)

Recall=TPTP+FNRecall = \frac{TP}{TP + FN}

Meaning

Out of all actually placed students, how many were correctly identified?


F1-Score

F1=2×Precision×RecallPrecision+RecallF1 = \frac{2 \times Precision \times Recall}{Precision + Recall}

Meaning

Balanced measure of Precision and Recall.


Support

Support=Total Actual Instances of a ClassSupport = \text{Total Actual Instances of a Class}

For Placed class:

Support=TP+FNSupport = TP + FN

For Not Placed class:

Support=TN+FPSupport = TN + FP

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