how can ? do classification with k-nn,naive bayes,decision tree in the same process ?

Selim

hello everybody
ı want to do classification in the same process and then measure to performances of k-nn,naive bayes,decision tree algorthms .how can ı do that ?
ı have shared my xml below
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<运营商激活= " true " class = " naive_bayes“compatibility="9.2.001" expanded="true" height="82" name="Naive Bayes" width="90" x="112" y="34">

<运营商激活= " true " class = " apply_model”有限公司mpatibility="9.2.001" expanded="true" height="82" name="Apply Model (2)" width="90" x="45" y="34">

<运营商激活= " true " class = " apply_model”有限公司mpatibility="9.2.001" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">

<运营商激活= " true " class = " apply_model”有限公司mpatibility="9.2.001" expanded="true" height="82" name="Apply Model (3)" width="90" x="45" y="34">

varunm1

The simple thing is to use multiply operator for datasets and then build the models in subprocess operator and connect the performance operators to output.

MartinLiebig

选择,这是一个例子项目structure which can be used to loop over different approaches. Would love to get a general feedback on it.

Just unzip this into your LocalRepository folder and refresh the repo.

Best,

Martin

Selim

@mschmitzmay you share to xml ?

MartinLiebig

@Selim,

its not one but a few, which are part of the .zip attached to the post above

Telcontar120

You can also use the Compare ROC operator for a simple early comparison of different methods and then select the ones that seem most promising. I often do that in early stages of a project.

varunm1

Hello@mschmitz

The project structure looks good. Are you trying to set up some import project option in rapidminer similar to process? Also, why can't we open two processes at a time (I am thinking about this for a long time, not sure if its java limitation)?

Thank you

MartinLiebig

Hi@varunm1,

we first need to define what a "project" is. This was one of my tries to define a project structure. Afterwards we can of course talking about sharing projects easier than zipping whole folders.

BR,

Martin