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What is Exp 5 about?

This document outlines the implementation of a K-Nearest Neighbor (K-NN) classification model using a movie dataset to predict user categories based on viewing behavior features. It details the steps for data preparation, model training, and evaluation, including the use of scikit-learn functions and performance metrics. The final results include accuracy, precision, recall, and F1 scores for the model

Author

yaminig122500

Language

EN