AI & MACHINE LEARNING PROGRAM • LEVEL 09 — TREES & FORESTS

Calculate Gini Impurity with Python

Learn calculate gini impurity with python with a short, executable Python example.

IntermediateGini impurityDecision tree

PROBLEM UNDERSTANDING

Input and expected output

Sample input

No input required

Sample output

0.48

COMPLETE PYTHON PROGRAM

Complete Python implementation

counts = [3, 2]
total = sum(counts)
gini = 1 - sum((count/total)**2 for count in counts)
print(round(gini, 2))

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

0.48

0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

Initialize the sample values used to calculate gini impurity.
Process the data step by step using Gini impurity and Decision tree.
Display the result for calculate gini impurity and compare it with the documented sample output.

This example of calculate gini impurity processes the sample values in a controlled iteration. It demonstrates Gini impurity and Decision tree and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(1)

DEBUGGING CHECKLIST

Common mistakes

Check this

For calculate gini impurity, keep the data shape and value types consistent with Gini impurity.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Check denominators, numeric ranges and rounding before comparing the calculated value.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.