Tools

To study and perform the Candidate-Elimination algorithm for concept learning

  1. Click on the CREATE tab to start building a dataset for the algorithm.
  2. In the ATTRIBUTES section, select values for each attribute using the dropdown menu. Click ADD to incorporate these values into the table.
  3. Repeat step 2 until you have completed this process for four rows.
  4. Click NEXT to proceed to the COMPUTE page and initiate the candidate elimination algorithm.
  5. Click ITERATE to identify positive and negative examples within the dataset.
  6. Subsequently, click GENERIC for each attribute to uncover a more generalized hypothesis.
  7. Review the version space to identify boundaries.
  8. Next, click SPECIFIC for each attribute to uncover a more specific hypothesis.
  9. Review the version space again to identify boundaries.
  10. Repeat steps 5 and 9 for every instance (example) in the dataset.
  11. Now, click on the FINAL HYPOTHESIS tab.
  12. Click on the SPACE button to retrieve the specific and generic hypothesis.
  13. Now, click on the COMPARE button to get the consistent hypothesis.
  14. Repeat the above step (13) to compare each generic value with a specific hypothesis.