Page 328 - AI Ver 1.0 Class 10
P. 328

8.  You have 3 AI models solving the same problem. How will you choose the best model?
                     a.  The model with the highest accuracy is the best.
                     b.  The model with the best F1 score is the best.

                     c.  The model with the highest precision is the best.
                     d.  The model with the highest recall is the best.



              B.  Fill in the blanks.

                  1.  ………………………. can be defined as the measure of balance between precision and recall.
                  2.  When the prediction is No and the reality is Yes then this condition is called as ………………………. .

                  3.  ………………………. is a table made with 4 different combinations of predicted and actual values in the form of a 2X2
                    matrix.

                  4.  In the Confusion Matrix the target variable has two values ………………………. and ………………………. .

                  5.  Another name for False Positive is ………………………. .
                  6.  High Accuracy means ………………………. performance of the AI model.

                  7.   A prediction is said to be correct if it matches with ………………………. .

                  8.  ………………………. is the percentage of True Positive cases and All Predicted Positive Cases.

              C.  Match the following:
                  1.  False Negative                   a.  Error Matrix

                  2.  False Positive                   b.  Sensitivity
                  3.  Recall                           c.  F-measure
                  4.  Confusion Matrix                 d.  Actual Value Positive
                  5.  F1 score                         e.  Actual Value Negative

                                                       f.  Actual Value zero

              D.  State whether these statements are true or false.

                  1.  A good F1 score means you have low false positives and low false negatives.              ……….……
                  2.  Another name for recall is precision.                                                    ……….……

                  3.  False Negative or False Positive have no effect on the cost.                             ……….……
                  4.  Both Recall and Precision are important for finding the performance of the AI Model.     ……….……

                  5.  Confusion matrix is not useful for measuring recall.                                     ……….……

                                               SECTION B (Subjective Type Questions)


              A.  Short answer type questions:
                  1.  Give one use of the Confusion matrix.
                  2.  What is Recall? Give its formula.





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