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Concept LearningBeginnerFind-S Algorithm
Find-S Concept Learning
Learns the most specific hypothesis consistent with positive examples.
Key highlights
- Filters positive examples only
- Generalizes using '?' wildcards
- Outputs a single hypothesis
Metrics
Final hypothesis
Outputs
Representative hypothesis output
Code snapshot
Key lines that anchor the experiment workflow.
positive_examples = df[df.iloc[:,-1].str.lower()=='yes']
hypothesis = positive_examples.iloc[0, :-1].copy()
...Next steps
Want to explore further? Try the full gallery or open the raw script to tweak parameters.