MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

MACHINE LEARNINGHARD QUESTIONS

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What is the purpose of this code?print ( ‘Accuracy:%.3f’ % accuracy ____ score(x ____ pred, y ____ test))
A
print the accuracy
B
finding the accuracy
C
accuracy score
D
none of this
Explanation: 

Detailed explanation-1: -To define the term, in Machine Learning, the Accuracy score (or just Accuracy) is a Classification metric featuring a fraction of the predictions that a model got right. The metric is prevalent as it is easy to calculate and interpret. Also, it measures the model’s performance with a single value.

Detailed explanation-2: -Accuracy = ( matrix[0][0] + matrix[-1][-1] ) / numpy. sum(matrix) is used to get the classification model’s accuracy score.

Detailed explanation-3: -Accuracy is used when the True Positives and True negatives are more important while F1-score is used when the False Negatives and False Positives are crucial. Accuracy can be used when the class distribution is similar while F1-score is a better metric when there are imbalanced classes as in the above case.

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