🎉 🎉. RAPIDMINER 9.8 IS OUT!!! 🎉 🎉
RapidMiner 9.8 continues to innovate in data science collaboration, connectivity and governance
Comma values - best predictive model suggestion
Hello, I would like to know what is the best predictive operator to solve my problem.
So my main goal is to find the best predictive operator which could handle comma values (Input 1, Input 2, Input 3) and values in "Input 4" column (YES/NO) and predict values in "Output" column. I already tried Optimize Parameters(Evolutionary) with operators like [SVM kernel types: (radial, anova, epachenikov etc), Random Forest, Neural Net, Decision Tree] to find optimal values, but the average accuracy of prediction was low.
I would really like to know if someone could suggest some predictive operator which could produce the best accuracy for this kind of problem.
NOTE: The values in columns "Input 1, Input 2, Input 3" after adding up always equals 100% in every row if this helps.
Thanks very much in advance.