[jira] [Updated] (MAHOUT-1094) when i am giving the testing data from the new set of data without using split ..it is giving the completely wrong confusion matrix

["Priyadarshan raj (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-1094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Priyadarshan raj updated MAHOUT-1094:
-------------------------------------

    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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