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Implement KNN | |
from sklearn.neighbors import KNeibhorClassifier |
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from sklearn.neighbors import KNeighborsClassifier | |
from sklearn.metrics import roc_auc_score | |
train auc=[] | |
cv_auc=[] | |
K=[i for i in range(50,5)] |
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#import necessary packages | |
import time | |
from selenium import webdriver | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
#create an instance of browser | |
driver = webdriver.Chrome() | |
#creating a dictionary for storing the information after scraping |