Page 325 - AI Ver 1.0 Class 10
P. 325
Confusion Matrix Actual:1 Actual: 0
Predicted 1 6 3
Predicted 0 20 65
Calculate Accuracy, Precision, Recall and F1 Score
Ans.
TP FP FN TN
6 3 20 65
(TP+ TN)
Accuracy = × 100%
(TP+ TN +FP+ FN)
= × 100
71
= × 100 = 75.5%
94
TP
Precision = × 100
TP +FP
6
= × 100 = 66.66%
6 + 3
TP
Recall = = 0.23
TP + FN
F1 Score = 2 × Precision×Recall
Precision+ Recall
66.66 × 0.23
= 2 ×
66.66 + 0.23
15.33
= 2 × = 0.45
66.89
4. Give 3 reasons for AI Model inefficiency?
Ans. • Lack of Training Data: The lack of training data could be due to less data available for developing an AI Model, or the
data is missed while training the model then the AI model created will not be efficient.
• Unauthenticated Data / Wrong Data: If the data is not authenticated and correct due to negligence or data
collected from unauthorized resources then the model will not give good results.
• Inefficient coding / Wrong Algorithms: If the written algorithms are not correct and relevant, Model will not give
desired output.
Evaluation 323

