Hello, first steps with ML, appreciate guidance on which ML method to use to get started.
We have a set of metrics marked as Good\Bad and we want to identify a probable root cause based on the various dimensions.
What ML method can be used to provide the correct result?
Thanks!
Name,metric_name,result,OS,Server,Storage
PC-1,health,good,Win10,Server1,S1
PC-2,health,good,Win10,Server2,S1
PC-3,health,good,Win10,Server3,S1
PC-4,health,good,Win10,Server1,S1
PC-5,health,good,Win10,Server2,S1
PC-6,health,good,Win10,Server3,S2
PC-7,health,good,Win10,Server1,S2
PC-8,health,good,Win10,Server2,S2
PC-9,health,bad,Win7,Server3,S2
PC-10,health,bad,Win7,Server1,S2
Predict Categorical Assistant could be applied on this straight ahead using MLTK or you can use classifier algorithms like Random Forest Classifier directly via spl.
Predict Categorical Assistant could be applied on this straight ahead using MLTK or you can use classifier algorithms like Random Forest Classifier directly via spl.