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k-nearest-neighbors
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k-nearest-neighbors
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#Program9
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn import datasets
iris=datasets.load_iris()
print("Iris Data set loaded...")
iris_data=iris.data
iris_labels=iris.target
#print(iris_data)
#print(iris_labels)
x_train,x_test,y_train,y_test=train_test_split(iris_data,iris_labels,test_size=0.1)
print("Dataset is split into training and testing...")
print("Size of trainng data and its label",x_train.shape,y_train.shape)
print("Size of trainng data and its label",x_test.shape, y_test.shape)
# Prints Label no. and their names
for i in range(len(iris.target_names)):
print("Label", i , "-",str(iris.target_names[i]))
classifier=KNeighborsClassifier(n_neighbors=1)
classifier.fit(x_train,y_train)
y_pred=classifier.predict(x_test)
# Display the results
print("Results of Classification using K-nn with K=1 ")
for r in range(0,len(x_test)):
print(" Sample:", str(x_test[r]), " Actual-label:", str(y_test[r]), " Predicted-label:",str(y_pred[r]))
print("Classification Accuracy :" , classifier.score(x_test,y_test))