728x90 반응형 datascience2 Finding optimal for k-nn 튜닝 in R # Optimal kNN knn_error_rate 2020. 11. 3. Optimizing k-NN parameter k with cross-validation in R kNN CLASSIFIERS ______ : Use your own data features / variables library(class) str(clean_nhanes) # distance metric only works with quantitative variables train_q % select(Age, AgeMonths, HHIncomeMid, Poverty, HomeRooms, Weight, Length, HeadCirc, Height, BMI, Pulse, BPSysAve, BPDiaAve, BPSys1, BPDia1, BPSys2, BPDia2, BPSys3, BPDia3, Testosterone, DirectChol, TotChol, UrineVol1, UrineFlow1, UrineV.. 2020. 11. 2. 이전 1 다음 728x90 반응형
