Hi all, I'm a math student who must pass a data mining exam in a week. I can not fix any point of this exercise using SAS Miner, someone can help me? Create in SAS Enterprise Miner classifier MBR on Intrusion dataset Detection (a .csv file I downloaded from my university website), after: 1. Performed an exploratory analysis of the data which presented the main results. 2. Partitioned the dataset into training set, test and validation set (50% -30% -20%). 3. Eliminated the non-numerical features and have explained the reasons for such exclusion. 4. Chose a value of K (indicate why you chose it). 5. Calculate the total error of prediction on the test set. 6. Repeat steps 3 and 4 by changing the value of K chosen for a total of 3 iterations. 7. Viewing the curve of total error varying K. For which value of K you obtain a minor error? 8. For this value of k, show the confusion matrix on the validation set. I have problems mainly with step 3, but also with steps 4 (how can I justify my choice of K?), 5, 7 (how can I see the curve of total error?) and 8 (How can I find the confusion matrix?). I apologize for my poor English, and I hope for your help. Teodoro
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