APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Information Gain
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Entropy
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none of these
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Gini Index Gini Index is a metric to measure how often a randomly chosen element would be incorrectly identified
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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 population’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.