knn_res

with K = 1, accurancy = 0.9192364170
with K = 2, accurancy = 0.9096916300
with K = 3, accurancy = 0.9236417034
with K = 4, accurancy = 0.9243759178
with K = 5, accurancy = 0.9265785609
with K = 6, accurancy = 0.9251101322
with K = 7, accurancy = 0.9265785609
with K = 8, accurancy = 0.9287812041
with K = 9, accurancy = 0.9265785609
with K = 10, accurancy = 0.9287812041
with K = 11, accurancy = 0.9280469897
with K = 12, accurancy = 0.9273127753
with K = 13, accurancy = 0.9258443465
with K = 14, accurancy = 0.9287812041
with K = 15, accurancy = 0.9265785609
with K = 16, accurancy = 0.9280469897
with K = 17, accurancy = 0.9265785609
with K = 18, accurancy = 0.9302496329
with K = 19, accurancy = 0.9295154185
with K = 20, accurancy = 0.9302496329
with K = 21, accurancy = 0.9324522761
with K = 22, accurancy = 0.9309838473
with K = 23, accurancy = 0.9302496329
with K = 24, accurancy = 0.9309838473
with K = 25, accurancy = 0.9287812041
with K = 26, accurancy = 0.9295154185
with K = 27, accurancy = 0.9287812041
with K = 28, accurancy = 0.9287812041
with K = 29, accurancy = 0.9280469897
with K = 30, accurancy = 0.9295154185

with K = 21, accurancy = 0.9324522761
              precision    recall  f1-score   support

         0.0       0.97      0.96      0.96       211
         1.0       0.96      0.90      0.93       120
         2.0       1.00      1.00      1.00        45
         3.0       0.93      0.95      0.94       171
         4.0       0.96      0.96      0.96       178
         5.0       0.87      0.90      0.89       265
         6.0       0.93      0.92      0.92       372

    accuracy                           0.93      1362
   macro avg       0.95      0.94      0.94      1362
weighted avg       0.93      0.93      0.93      1362