calculate the information gain when splitting on a and b. which attribute would the decision tree induction algorithm choose?calculate the gain in the gini index when splitting on a and b. which attribute would the decision tree induction algorithm choose?entropy and the gini index are both monotonously increasing on the range [0, 0.5] and they are both monotonously decreasing on the range [0.5, 1]. is it

Respuesta :

By deducting the gain ratio of the splitting from the index of both the parent node, it is possible to determine the increase in the gain coefficient when dividing on a and b.

What is algorithm?

An algorithm is a set of instructions or steps that are designed to solve a problem or accomplish a task. It is an effective way of performing a task that can be repeated, with the same results each time. Algorithms are commonly used in computer programming and can range from simple to complex. They can be used to solve simple tasks such as sorting a list, to complex tasks such as playing a game of chess. Algorithms are also used in everyday life, such as when a person follows a recipe or drives to a destination. Algorithms help to make tasks easier and more efficient by breaking them down into smaller, manageable steps.
The information gain when splitting on a and b can be calculated by subtracting the entropy or gini index of the split from the entropy or gini index of the parent node. The attribute with the highest information gain would be chosen by the decision tree induction algorithm. The gain in the gini index when splitting on a and b can be calculated by subtracting the gini index of the split from the gini index of the parent node. The attribute with the highest gain in the gini index would be chosen by the decision tree induction algorithm. Yes, entropy and the gini index are both monotonously increasing on the range [0, 0.5] and monotonously decreasing on the range [0.5, 1].

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