MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

MACHINE LEARNINGHARD QUESTIONS

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
____ is a metric to measure how often a randomly chosen element would be incorrectly identified.
 A Information Gain B Entropy C none of these D Gini Index Gini Index is a metric to measure how often a randomly chosen element would be incorrectly identified
Explanation:

Detailed explanation-1: -Gini Index is a metric to measure how often a randomly chosen element would be incorrectly identified. It means an attribute with lower gini index should be preferred.

Detailed explanation-2: -The Gini index is a measure of the distribution of income across a population. A higher Gini index indicates greater inequality, with high-income individuals receiving much larger percentages of the populationâ€™s total income.

Detailed explanation-3: -Gini Index, also known as Gini impurity, calculates the amount of probability of a specific feature that is classified incorrectly when selected randomly. If all the elements are linked with a single class then it can be called pure.

Detailed explanation-4: -Entropy is the degree of uncertainty, impurity or disorder of a random variable, or a measure of purity.

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