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Algorithm: Classification by k-nearest neighbors with Euclidean distance (neighbors.KNeighborsClassifier).

Determine the important hyperparameters (2 maximum) that can significantly influence learning outcomes. Also give the range of values that should be tested for each of these hyperparameters in order to make a good fit for the configuration of the classifiers on the Pendigits game.

The hyper-paramaters for the KNN might be the number of neighbors and weights. How can we give a range of values that make a good fit?

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