The document discusses using different machine learning algorithms on implant data, including Bayes classifier with discretization, ID3 decision tree ignoring certain attributes, and comparing the algorithms' performance with cross-validation and ROC curves ordered by the class value of "Well".

1. www.ailab.si/orange

4. • bayes -pp (discretize method=equiN intervals=4)
• id3 -pp (ignore OP_TIME HEALTH) -minex 10 -prune (m
m=5) -minleaf 20 –b
• id3 -pp (ignore OP_TIME PATIENT COMPLICATIONS REHAB
HEALTH ENDOPROSTH) -minex 10 -prune (m m=5)
-minleaf 20 -b
• compare ba.alg -F implants.tab -sampler cv -statistics (order
ROC classvalue=Well)
ba.alg

11. www.ailab.si/orange