COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Gini Impurity measures the disorder of a set of elements
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Its an impurity in tree
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Gini is the name of the person who invented the decision tree
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None of the above
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Detailed explanation-1: -Gini Impurity is a measurement used to build Decision Trees to determine how the features of a dataset should split nodes to form the tree.
Detailed explanation-2: -Gini impurity is a measure used for generating classification trees. It provides more information on the distribution of data per node than the classification accuracy used for reporting the tree accuracy.
Detailed explanation-3: -The Gini impurity (pronounced “genie”) is used to predict the likelihood that a randomly selected example would be incorrectly classified by a specific node. It is called an “impurity” metric because it shows how the model differs from a pure division.
Detailed explanation-4: -GINI Index is measure of degree of inequality in distribution of income and wealth. GINI coefficient or GINI Index is developed by an Italian statistician, Corrado Gini in the year of 1912. It is the most commonly used statistical method for measuring inequality of income and wealth.
Detailed explanation-5: -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.