how to apply test dataset in meka 1.9.3 SNAPSHOT

Waikato / meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

http://waikato.github.io/meka/

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how to apply test dataset in meka 1.9.3 SNAPSHOT #65

Closed bhavinpatelgvp closed 4 years ago

bhavinpatelgvp commented 4 years ago

meka.gui.explorer.ClassifyTab Evaluation failed (train/test split): java.lang.IllegalArgumentException: Train and test set are not compatible: Attributes differ at position 2:

how to apply test dataset in Meka 1.9.3 SNAPSHOT

fracpete commented 4 years ago

Train/test datasets must have the exact same structure, i.e., same attribute names and types and for nominal attributes the same order of labels. From the error message, the attributes at index 2 are different between the datasets. Open them in a text editor and/or compare them with a diffing tool (eg command-line diff, or KDiff3, Meld, etc)

fracpete commented 4 years ago

Problem seems to be CSV related. See mailing list discussion: https://sourceforge.net/p/meka/mailman/meka-list/?viewmonth=202004&viewday=21