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.
Question
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.
Solution
The Gini Impurity coefficient is higher if a node has a similar number of good and bad stocks. This is because Gini Impurity measures the probability of a random sample being classified incorrectly if you randomly pick a label according to the distribution in a branch. So, if there's a similar number of good and bad stocks, there's a higher chance of misclassification, hence a higher Gini Impurity. On the other hand, the number of stocks in a node doesn't directly affect the Gini Impurity. It's the distribution of the classes (good or bad stocks) within the node that matters.
Similar Questions
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
19.ReviewBased on the graph below, the Gini coefficient is:Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer.aA/(A+B)bA/A+BcB/(A+B)dB/A+BeA/BfB/A
How does Gini Impurity be related to Gini Index?Select an option Clear ResponseGini Index = 1 + Gini ImpurityGini Impurity = 1 - Gini IndexGini Index = 1 / Gini ImpurityGini Impurity = 1 / Gini Index
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.
Which of the following statements are true about the Gini index (GI)? Assume a binary classification problem where all instances are labeled as positive or negative.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.