How can you determine the split for each node of a decision tree? 1 pointFind the split that induces the largest entropy.Randomly select the split.Find the split that minimizes the gini impurity. Use a nonlinear decision boundary to find the best split.

How is the best split determined at each node while building a Decision Tree?Answer choicesSelect only one optionREVISITWe split the data using the first independent variable and so on. based on the alphabetical orderThe first split is determined randomly and from then on we start choosing the best split.We make at most 5 splits on the data using only one independent variable and choose the split that gives the highest Information Gain.

When evaluating all possible splits of a decision tree what can be used to find the best split regardless of what happened in prior or future steps?1 pointGreedy SearchRegularizationClassificationLogistic regression

How is the Gini index used in the context of a decision tree?To determine the splitting attributeTo determine the depth of the treeTo determine the leaf node valuesTo prune the tree branches

Which of the following statements is not true about the Decision tree?1 pointa) It starts with a tree with a single leaf and assign this leaf a label according to a majority vote among all labels over the training setb) It performs a series of iterations and on each iteration, it examine the effect of splitting a single leafc) It defines some gain measure that quantifies the improvement due to the splitd) Among all possible splits, it either choose the one that minimizes the gain and perform it, or choose not to split the leaf at all

In a decision tree used to predict whether a stocks will have a "good" or a "bad" return, the Gini Impurity coefficient is:Group of answer choiceshigher if a node has a similar number of good and bad stocks.lower if a node has a similar number of good and bad stocks.lower if a node has many stocks.higher if a node has many stocks.