error in test prediction

[GoogleCodeExporter]

based on the model built on the attached training data, test predictions are 
all wrong. There should be problem.

Original issue reported on code.google.com by aus...@gmail.com on 15 Jan 2012 at 7:17

Attachments:

• test.arff
• train.arff

[GoogleCodeExporter]

even a C4.5 tree is providing accuracy around 81%. here is the command

rf_ace_win32 -I train.arff -T test.arff -i clas -O yaz.tsv -P predictions.tsv

Original comment by aus...@gmail.com on 15 Jan 2012 at 7:32

[GoogleCodeExporter]

Thanks for the report. Prediction part is still under development, so it's 
likely that for some data it will fail. If you want to grow the predictor (GBT) 
with all the features in the train data, then -- in this version -- you have to 
provide a "noFilter" flag as follows:

rf_ace_win32 -I train.arff --noFilter -T test.arff -i clas -O yaz.tsv -P 
predictions.tsv

meaning that the Random Forest algorithm won't try to remove any of the 
features in train.arff prior to growing the GBT.

Thanks for your input!

Original comment by timo.erk...@gmail.com on 15 Jan 2012 at 9:24

[GoogleCodeExporter]

Original comment by timo.erk...@gmail.com on 15 Feb 2012 at 3:35

• Changed state: Done