# Questions tagged [gini]

The Gini coefficient is used to measure income inequality and discriminatory power of a classifier. If everybody has the same income, Gini coefficient = 0. If one person has all the income, Gini coefficient = 1. All other values are somewhere in between.

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### What is the relationship between the GINI score and the log-likelihood ratio

I am studying classification and regression trees, and one of the measures for the split location is the GINI score. Now I am used to determining best split location when the log of the likelihood ...
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### Does Breiman's random forest use information gain or Gini index?

I would like to know if Breiman's random forest (random forest in R randomForest package) uses as a splitting criterion (criterion for attribute selection) information gain or Gini index? I tried to ...
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### Comparing Gini coefficients: Variance estimation etc. needed?

In a project on software measurement, we plan to use aggregating statistics (e.g., Gini) to describe the concentration of certain observed program attributes (size) among program units (e.g., modules, ...
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### SAS PROC LOGISTIC: Hosmer and Lemeshow test is good but Gini is bad?

I am using PROC LOGISTIC along with Class statements to do binary logit model(default=1,non-default=0) on a bank loan dataset ...
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### What is a good Gini decrease cutoff for feature inclusion based upon random forests?

I am using random forests to try and determine variable importance as part of feature selection for a model I'm working on, and while I can get ranked variable importance by mean decrease in Gini from ...
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### The efficiency of Decision Tree

When we use top down approach to induce a decision tree, we need to use some kind of splitting criteria to choose the splitting feature and splitting value at a certain internal node. The criteria ...
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### Is it possible to get confusion matrices from AUC?

When I have one confusion matrix for each cutoff level (from 0.00 to 0.99), I can compute AUC coefficient. It looks like: ...
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### Are decision trees sensitive to log translations in feature space?

This question was partially answered on Are decision trees sensitive to translations in feature space?, but no references were provided for "Gini impurity and entropy measures are translation ...
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### Random Forest: Class-specific Gini variable importance in R?

library(randomForest) data(iris) fit <- randomForest(Species ~ ., data=iris, importance=TRUE); fit.imp<-importance(fit) fit.imp columns 1-3 show the class-...
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### Interpreting output of Cox regression model

I am trying to use two variables - activity score (ascore - a whole number indicating amount of activity) and gini (given by Gini-Simpson index - a value ranging between 0 and 1, indicating diversity ...
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### How to compare two Gini results?

I'm comparing two Gini results from two distributions of income, in which one income is a source of the other. Let, say that Gini_1 = 0,770 and Gini_2 = 0,373. Clearly, Gini_2 shows a less inequal ...
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### How to do feature selection by using Classification and Regression Tree (CART)?

How to do feature selection by using Classification and Regression Tree? As I know, splitting data in decision tree can use Gini Index or Entropy, but it can't be used in feature selection. So how I ...
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### Is GINI limited to binary classifiers or can we use it for multi-class classifiers as well?

I have looked around and have seen GINI being used mostly in the context of binary classifiers. Does GINI make sense only for binary classifiers? Can we extend the definition to multiclass classifiers?...
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### Gini index/criterion/impurity/coefficient according to Breiman, Sen, Bishop, and Duda

once again a student (me) is lost in the sea of Gini... I am currently trying to figure out, where the Gini based formula for feature selection proposed by Cehovin and Bosnic [1] comes from: \$Gini(A)...
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### Lognormal parameters knowing GDP per-capita, Gini coefficient and quintile shares

How can i recover μ and σ for the lognormal distribution (income) knowing mean GDP per-capita (which should be my μ) and the Gini coefficient with data on 5 quintile income shares? Thanks to all. σ ...
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### Gini above 1 when bootstrapping

Let's say I have a dataset (data), which contains the binary target variable class and the predictions (probabilities in [0,1]). ...
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### Classification trees: contingency table and Gini index at split point (grouped categories)

I am working through chapter 14 of the book Applied predictive modeling (Kuhn, Max, and Kjell Johnson. Applied predictive modeling. Vol. 26. New York: Springer, 2013.). For tree models with categorial ...
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### Number of all possible splits in each node of trees in a Random Forest

The trees in a Random Forest are grown by recursive splitting the nodes, and the best split in each node is obtained by using the Gini index, I want to know if there is a possibility to know the ...
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### Gini index question

If a country A has a higher Gini index than country B, can you interpret this as that the income distribution in A is lower because of the higher inequality? So we would expect to see wealth being ...
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### Gini coefficients : compare two samples with different sample sizes

I've two samples representing the distribution of tumor cell clones in two patient. In sample 1 I've about 10,000 clones - each clone has a relative abundance (so the sum of the relative abundance of ...