What will be the suitable model for predicting a binominal class (Solved)
Hi, a quick questions for the model selection in Rapid Miner, I’ve got a dataset with around 100 attributes and a class label with binomial value (1 or 0). Could anyone give some suggestion of what type of data mining model will be suitable for the prediction? Is there any example/tutorial in the forum with relate to this? Many thanks!
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Sorry jus caught this, was in holiday 
SVM actually works well for my dataset, many thanks!
SVM actually works well for my dataset, many thanks!
Nice to hear that. In that case you may want to optimize the C parameter of the SVM to get even better results, and also try another kernel type, most notably the rbf/radial kernel. In that case, also the gamma-parameter must be optimized. For both parameters you should try values between 0,00001 and 10000. Have a look at the Optimize Parameters (Grid) operator and the logarithmic scale option on it.
Best,
Marius
Best,
Marius
Hi Marius,
Many thanks for the help! could you also share some tips to find the optimize value? as I am just basiclly manual try different C value to find the optimize one, any trick to speed up this process?
Many thanks for the help! could you also share some tips to find the optimize value? as I am just basiclly manual try different C value to find the optimize one, any trick to speed up this process?
for that problem virually any model which supports binominal labels can be used, e.g. Naive Bayes, SVMs etc. We have a lot of useful introductory videos linked on our website at http://rapid-i.com
Best regards,
Marius