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ml-prac4-candidate-elimination's Introduction

Lab 4: Candidate Elimination Algorithm

What am I looking at here?

  • After running the Candidate Elimination program on the 'table_1_data' in the training_sets folder, the output in 'japanese_economy_car' is obtained

  • After running the Candidate Elimination program on the 'custom_training_data' in the training_sets folder, the output in 'japanese_sports_car' is obtained

Q1

  • The Japanese Sports Car concept was learnt after processing the 4 examples in 'custom_training_data'

Q2

  • The minimum is 4 examples as 2 positives change S to contain only the target concept and 2 negatives change G to contain only the target concept

But how do I run it?

  • First 'make' then run 'make run' to run: './candidate_elimination training_sets/custom_training_data.txt output.txt'

  • This command reads the training data in 'custom_training_data', performs candidate elimination and outputs to 'output.txt'

ml-prac4-candidate-elimination's People

Contributors

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