Comments (1)
jirifilip
commented on September 26, 2024
Hello,
this was my mistake. I did not realize that the folders would not be in the repository when I created the example notebook. Before I get to correcting it - you can find the used data here. In the folds_discr directory, you can find the discretized data and in the folds_nodiscr directory are the undiscretized data.
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Related Issues (20)
- what can be done for unbalanced data? HOT 5
- how to get probability of classification reliability HOT 4
- if there is way to make sure which data used as target HOT 1
- predict_probability not = confidence ? HOT 4
- So how to find for each row Which elementary rule matches this row HOT 1
- may you clarify about support HOT 2
- if something can be done for unbalanced data?
- default class confidence is less than set by classier parameter confidence HOT 2
- Discretization HOT 2
- after installation pyarc-1.0.25 : builtins.ModuleNotFoundError: No module named 'pyarc.cba' HOT 8
- how to get best prediction( best rules) when number of rules is limited to target_rule_count value
- Default Class ID results in NaN
- Default example returns empty rule list HOT 1
- MacOS support? HOT 1
- theoretical issue HOT 1
- can you share some simple example how to user .predict HOT 3
- can you share more about algorithms used : for example about M1Algorithm, M2Algorithm HOT 3
- is it possible to set maximum number of rules like in pycorels?
- is it correct code: cars = generateCARs(txns_train , maxlen= 3, support= 0.1 , confidence = 0.2 )
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