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https://issues.apache.org/jira/browse/MAHOUT-1094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Priyadarshan raj updated MAHOUT-1094:
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Summary: when i am giving the testing data from the new set of data without
using split ..it is giving the completely wrong confusion matrix (was: using
mahout(0.7) model)
> when i am giving the testing data from the new set of data without using
> split ..it is giving the completely wrong confusion matrix
> -----------------------------------------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-1094
> URL: https://issues.apache.org/jira/browse/MAHOUT-1094
> Project: Mahout
> Issue Type: Question
> Components: Classification
> Affects Versions: 0.7
> Environment: hadoop 0.20
> Reporter: Priyadarshan raj
> Labels: newbie
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> hi,
> i am a newbie to mahout(0.7).i am able to successfully create a model by the
> command below:-
> bin/mahout trainnb -i /user/cloudera/MahoutWeighted/1_FactWt-train-vectors
> -el -o /user/cloudera/MahoutWeighted/model -li
> /user/cloudera/MahoutWeighted/labelindex -ow
> ....
> but i am unable to use that model...when i am feeding the model with test
> data in the same way,i trained it..i am not able to get the correct confusion
> matrix..can anyone please tell me how to use the model created..it would be a
> great help to me
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