Question

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Q1: For the data given below, (a) produce the NBC model with Laplacian Correction, and (b) use the model to predict the class of the tuple (0, 0, 1). A3 C A2 A1 1 2 0 0 0 0 1 1 2 2 0 1 1 2 1 0 2 1 1 1 1 2 1 2 C

Answer 1

Find Python code:

from sklearn.naive_bayes import GaussianNB

import numpy as np

# assigning predictor and target variables
x = np.array([[0, 2, 1], [1, 0, 0], [2, 2, 2], [1, 0, 1], [0, 1, 2], [2, 2, 0], [1, 1, 1], [0, 2, 2]])
Y = np.array([1, 0, 1, 0, 1, 0, 1, 1])

# laplacian correction
x += 1
# Create a Gaussian Classifier
model = GaussianNB()

# Train the model using the training sets
model.fit(x, Y)

# Predict Output
test = np.array([0, 0, 1])

test += 1
predicted = model.predict([test])
print predicted