which attribute selection measure is best in data mining

In this tutorial, we will learn about the followings;

Information Gain.

Gain Ratio.

Gini index.

Attribute Selection Measure

There are different attribute selection measures. Some of them are as follows;

  1. Information Gain
  2. Gain ratio
  3. Gini index
Information gainGain ratioGini index
Biased towards the multi-valued attribute.Unbalanced splits.

One partition is much smaller than other partition.

Biased towards the multi-valued attribute.
  Difficult to manage a large number of classes.
  Partitions are equal.

Next Similar Tutorials

  1. Decision tree induction on categorical attributes  – Click Here
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  3. Overfitting of decision tree and tree pruning – Click Here
  4. Attribute selection Measures – Click Here
  5. Computing Information-Gain for Continuous-Valued Attributes in data mining – Click Here
  6. Gini index for binary variables – Click Here
  7. Bagging and Bootstrap in Data Mining, Machine Learning – Click Here
  8. Evaluation of a classifier by confusion matrix in data mining – Click Here
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By:Prof. Fazal Rehman Shamil
CEO @ T4Tutorials
Last Modified: April 17, 2020

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