Obtaining Some Important Results
Legacy User
New Altair Community Member
Hello
Like in WEKA, I'm used to see at the end of the training the accuracy, kapa statistics, the confusion matrix and the precision table ... I could not obtain these results with rapid miner
For example : I used the Decision Tree algorithm and I just obtained the graphical tree (not the accuracy) ... I tryed to use the precision operator but I cant use it in the same time as the decision tree operator ...
Which operator should I use and where can I put it ?
Like in WEKA, I'm used to see at the end of the training the accuracy, kapa statistics, the confusion matrix and the precision table ... I could not obtain these results with rapid miner
For example : I used the Decision Tree algorithm and I just obtained the graphical tree (not the accuracy) ... I tryed to use the precision operator but I cant use it in the same time as the decision tree operator ...
Which operator should I use and where can I put it ?
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Answers
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Ideale:
Going thru some of the sample programs provided with RM is very instructive. Take a look at the program 06_Confusion_Matrix.xml that you can find in the directory samples\Validation or 18_SimpleCostSensitiveLearning.xml in the directory samples\Learner. There you will find the answer to your question. I also recommend you go thru the RapidMiner Tutorial available from the menu Help.
Best regards,
\E0 -
THANK YOU SOOO MUCH !earmijo wrote:
Ideale:
Going thru some of the sample programs provided with RM is very instructive. Take a look at the program 06_Confusion_Matrix.xml that you can find in the directory samples\Validation or 18_SimpleCostSensitiveLearning.xml in the directory samples\Learner. There you will find the answer to your question. I also recommend you go thru the RapidMiner Tutorial available from the menu Help.
Best regards,
\E0