I have been trying to figure out a proper classification model for following type of data
C1 C2 C3 C4 label R1 [1,4,5] [3,5,1] [8,5,1] [0, NA, 6] lung R2 [5,NA,5] [5,1,0] [0.9, NA, NA] [0, 0, 0] lung R3 [1,1,1]. [9,4,2] [1,1,5] [8,1,4] colon
As you see, for every feature I have a series of values and to make it worse, sometime NAs.
It would be great if anyone can give me a few insights on which algorithm is best suited for such type of classification data and the things I should be careful about while interpreting the model results.
Thank you & stay safe