entropy function
The entropy function indicates a variable’s unpredictability. The higher the value, the higher the unpredictability.
It returns the entropy of the column, evaluated within groups defined by the group parameter if required.
The entropy value is included between 0 and 1, where:
0 indicates low unpredictability, and
+1 indicates high unpredictability.
Function and parameters
entropy(column, group, usemissing)
Parameter | Description |
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column | It identifies the column to which you want to apply the formula. The column parameter is mandatory. |
group | It allows you to group the results by a certain column. |
usemissing | A Boolean which indicates whether missing values should be considered or not in the computation of the statistics. The default value, if not otherwise specified, is True. |
Example
The following example uses the Students Performance dataset.
Description | Screenshot |
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