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What is Naïve Bayes Classifier for Car Theft Prediction about?

This document provides a Naive Bayes classifier example to predict whether a car was stolen based on its color, type, origin, and whether it was stolen in previous cases. The classifier calculates the probabilities of a red, domestic, SUV car being stolen or not stolen based on the training data. It determines that a red, domestic, SUV car is more likely to not be stolen, since the probability of 0.072 for not stolen is greater than the 0.024 probability for stolen.

Author

Mohammad Sharif

Language

EN