Difference between Information Gain and Mutual Information for feature selectionWhat is dimensionality reduction? What is the difference between feature selection and extraction?feature selection techniquesFeature selection with linear interaction between variables and correlation with categorical response variablehow does feature selection for random forest helpIs feature selection necessary?Visualizing mutual information of each convolution layer for image classification problemConcept of Mutual InformationFeature selection through Random Forest and Principal Component AnalysisFeature selection with information gain (KL divergence) and mutual information yields different resultsFeature selection using a filter for multiclass problem: What if many features are strongly predictive of few classes?
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Difference between Information Gain and Mutual Information for feature selection
What is dimensionality reduction? What is the difference between feature selection and extraction?feature selection techniquesFeature selection with linear interaction between variables and correlation with categorical response variablehow does feature selection for random forest helpIs feature selection necessary?Visualizing mutual information of each convolution layer for image classification problemConcept of Mutual InformationFeature selection through Random Forest and Principal Component AnalysisFeature selection with information gain (KL divergence) and mutual information yields different resultsFeature selection using a filter for multiclass problem: What if many features are strongly predictive of few classes?
$begingroup$
What is the difference between information gain and mutual information?
At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.
Does mutual information become the same as information when it is calculated between a random variable and target class?
feature-selection mutual-information
New contributor
$endgroup$
add a comment |
$begingroup$
What is the difference between information gain and mutual information?
At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.
Does mutual information become the same as information when it is calculated between a random variable and target class?
feature-selection mutual-information
New contributor
$endgroup$
add a comment |
$begingroup$
What is the difference between information gain and mutual information?
At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.
Does mutual information become the same as information when it is calculated between a random variable and target class?
feature-selection mutual-information
New contributor
$endgroup$
What is the difference between information gain and mutual information?
At this point, I understand that information gain is calculated between a random variable and target class for classification while mutual information is calculated between two random variables.
Does mutual information become the same as information when it is calculated between a random variable and target class?
feature-selection mutual-information
feature-selection mutual-information
New contributor
New contributor
New contributor
asked Mar 19 at 4:26
Abhik BanerjeeAbhik Banerjee
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