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AI & MACHINE LEARNING PROGRAM • LEVEL 01 — AI & ML FOUNDATIONS

Build a Rule-based Classifier with Python

Learn build a rule-based classifier with python with a short, executable Python example.

IntermediateAI ruleClassification

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
Fever

COMPLETE PYTHON PROGRAM

Complete Python implementation

ai-ml-01-rule-classifier.py
Open in compiler
temperature = 38.2
prediction = 'Fever' if temperature >= 38 else 'Normal'
print(prediction)

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

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SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

Fever
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to build a rule-based classifier.
  2. Apply AI rule and Classification to compute the required result.
  3. Display the result for build a rule-based classifier and compare it with the documented sample output.

This example of build a rule-based classifier computes the result directly from the prepared sample data. It demonstrates AI rule and Classification and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(1)

Auxiliary space

O(1)

DEBUGGING CHECKLIST

Common mistakes

Check this

For build a rule-based classifier, keep the data shape and value types consistent with AI rule.

Check this

Keep every dependent statement inside the correct indented Python block.

Check this

Verify the final AI rule and Classification result against the sample before trying new data.

Try it yourself

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