Python ile Makine Öğrenmesi 2 KNN (K Nearest Neighbour) Kümeleme (Classifier) Modeli

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Python ile Makine Öğrenmesi 2- KNN (K Nearest Neighbour) Kümeleme (Classifier) Modeli
Python kodu:

import numpy as np
import pandas as pd
import sklearn
from sklearn import linear_model, preprocessing

le = preprocessing.LabelEncoder()

predict = "maas"

x = list(zip(yas, issinifi, egitim, meslek, cinsiyet, ulke))
y = list(maas)

model = KNeighborsClassifier(n_neighbors = 7)

print('doğruluk oranı:', acc)

names = ["-- 50000 den AZ --", "-- 50000 den ÇOK --"]

for x in range(len(predicted)):
print("predicted: ", names[predicted[x]], "data: ", x_test[x], "Actual: ", names[y_test[x]])

print('tahmin doğruluğu (accuracy):', acc, file=f)
for x in range(len(predicted)):
print("predicted: ", names[predicted[x]], "data: ", x_test[x], "Actual: ", names[y_test[x]], file=f)