Problem 1: Train a Gaussian Naive Bayes Classifier
Easypython
Learn the Concept: Naive BayesProblem Description
Write a Python program that trains a Gaussian Naive Bayes classifier on a labeled numeric dataset, and predicts the class for a new data point.
Input
A labeled dataset and one new data point.
Output
The predicted class.
Constraints
- At least 6 labeled training examples.
Example Input
textX=[[1,60],[2,65],[8,95],[9,98]], y=[0,0,1,1], new=[[7,90]]
Example Output
textPrediction: [1]
Concepts Covered
GaussianNB, .fit(), .predict().
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