--- a
+++ b/BE-PROJECT-1MODEL/knn.py
@@ -0,0 +1,47 @@
+# -*- coding: utf-8 -*-
+"""KNN.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1p90EngR7skAHqdMPNlTz7xUU3Gan4k1S
+"""
+
+import pandas as pd
+import pickle
+
+df = pd.read_csv('upscale.csv')
+
+df.head(10)
+
+df = df.drop(columns="Hybridization REF")
+from sklearn.model_selection import train_test_split
+training_set, test_set = train_test_split(df, test_size = 0.2, random_state = 1)
+
+X_train = training_set.iloc[:,0:21].values
+Y_train = training_set.iloc[:,21].values
+
+X_test = test_set.iloc[:,0:21].values
+Y_test = test_set.iloc[:,21].values
+
+from sklearn.neighbors import KNeighborsClassifier
+knn = KNeighborsClassifier(n_neighbors=15)
+knn.fit(X_train,Y_train)
+
+y_pred = knn.predict(X_test)
+
+from sklearn.metrics import accuracy_score
+accuracy_score(Y_test,y_pred)
+
+from sklearn.metrics import precision_score, recall_score, f1_score
+precision = precision_score(Y_test,y_pred)
+print(precision)
+
+recall_score(Y_test, y_pred)
+
+f1_score(Y_test, y_pred)
+
+#serialization and de-serialization
+pickle.dump(knn, open('model1.pkl','wb'))
+
+model = pickle.load(open('model1.pkl', 'rb'))
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