Comments (6)
Yes, you can. In the Collective tab in the Explorer, simply choose another output method than Null
, e.g., PlainText
or CSV
. You can also specify a file to output the results to.
Predictions (actual vs predicted) are output for the available test set, which is automatically generated in case of cross-validation and random split, explicitly provided in case of Unlabeled/test set.
If you want to output the predictions for the unlabeled dataset, then you have to select Unlabeled/test set and supply the unlabeled dataset also as test set.
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I am using Unlabeled/Test set option and csv output. However, the output only includes instances from the test set.
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That's why I said that you have to supply the unlabeled dataset also as test set.
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I supply both.
from collective-classification-weka-package.
Like I said earlier, if you want to output predictions for the unlabeled dataset, you need to supply this dataset as unlabeled and test set. Here is an example CSV output obtained from using the UCI dataset vote:
inst#,actual,predicted,error,prediction
1,1:?,2:republican,,1
2,1:?,2:republican,,1
3,1:?,1:democrat,,1
4,1:?,1:democrat,,0.943
5,1:?,1:democrat,,1
6,1:?,1:democrat,,0.667
As you can see, the question mark denotes the missing label (actual) and next to it the predicted label.
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Got it, finally. Thanks a lot.
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