Скачать или смотреть KNeighborsClassifier implementation in python with source code or read csv file in python

load libaries
from sklearn.neighbors import KNeighborsClassifier
import pandas as pd
import numpy as np
f=pd.read_csv('abcdata.csv')
sample_data = np.array(f)
Feature Variables
features = sample_data[:,0:-1].astype('float')
print(features)
Target/Dependent Variable - Gender
target = sample_data[:,-1]
print(target)
guess=[[0.44,0.365,0.125,0.516,0.2155,0.114,0.155,10]]

Train the Model
knn = KNeighborsClassifier(n_neighbors=3)
knn.fit(features, target)
Predict Color
prediction = knn.predict(guess)
#output
print("Gender is %s" %(prediction))



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GitHub source code: https://github.com/developermr/