I used the following code to try finding the optimum of k, but it is giving the max accuracy as 58% in the function. Where I am making mistake. Moreover my submission score is 61% max. How to increase it to 100

#1

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split( x, y, test_size=0.2, random_state=4)

from sklearn.neighbors import KNeighborsClassifier
from sklearn import metrics

ans=0
for i in range(2):
neigh = KNeighborsClassifier(n_neighbors = k).fit(X_train,y_train)
Pred_y = neigh.predict(X_test)
if ans<metrics.accuracy_score(y_test, Pred_y):
ans=metrics.accuracy_score(y_test, Pred_y)

print(ans)

#2

hey @varshneynishu2017 ,
can you please share you full code file ,either upload it on github or on drive and share the link here with me.

Thank You :slightly_smiling_face:.

#3

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