COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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KNeighborsClassifier class can be imported as:
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from sklearn.ensemble import KNeighborsClassifier
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from sklearn.neighbors import KNeighborsClassifier
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from sklearn.tree import KNeighborsClassifier
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from sklearn import KNeighborsClassifier
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Explanation:
Detailed explanation-1: -By default, the KNeighborsClassifier looks for the 5 nearest neighbors. We must explicitly tell the classifier to use Euclidean distance for determining the proximity between neighboring points. knn = KNeighborsClassifier(n neighbors=5, metric=’euclidean’)
Detailed explanation-2: -In scikit-learn, KD tree neighbors searches are specified using the keyword algorithm = ‘kd tree’, and are computed using the class KDTree .
Detailed explanation-3: -KNeighborsClassifier implements classification based on voting by nearest k-neighbors of target point, t, while RadiusNeighborsClassifier implements classification based on all neighborhood points within a fixed radius, r, of target point, t.
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