Consider a binary classification problem of determining a class category of an object with four input features as given on the file named hw3data.xlsx with class categories A and B. Develop a Nave Bayes binary classifier using the data in the file as the training set. Once completed in training the model, determine the class categories of the following objects with the features as shown on the table shown below. Assume the features of the objects to exhibit Gaussian distributions in constructing the Nave Bayes model. Feature 1 Feature 2 Feature 3 Feature 4 Object 1 2 1 1.75 0.5 Object 2 3 2 2.75 1 Object 3 4 3 3.75 1.5 Object 4 5 4 4.75 2

Feature 1 Feature 2 Feature 3 Feature 4 Category 5.1 3.5 1.4 0.2 A 4.9 3 1.4 0.2 A 4.7 3.2 1.3 0.2 A 4.6 3.1 1.5 0.2 A 5 3.6 1.4 0.2 A 5.4 3.9 1.7 0.4 A 4.6 3.4 1.4 0.3 A 5 3.4 1.5 0.2 A 4.4 2.9 1.4 0.2 A 4.9 3.1 1.5 0.1 A 5.4 3.7 1.5 0.2 A 4.8 3.4 1.6 0.2 A 4.8 3 1.4 0.1 A 4.3 3 1.1 0.1 A 5.8 4 1.2 0.2 A 5.7 4.4 1.5 0.4 A 5.4 3.9 1.3 0.4 A 5.1 3.5 1.4 0.3 A 5.7 3.8 1.7 0.3 A 5.1 3.8 1.5 0.3 A 5.4 3.4 1.7 0.2 A 5.1 3.7 1.5 0.4 A 4.6 3.6 1 0.2 A 5.1 3.3 1.7 0.5 A 4.8 3.4 1.9 0.2 A 5 3 1.6 0.2 A 5 3.4 1.6 0.4 A 5.2 3.5 1.5 0.2 A 5.2 3.4 1.4 0.2 A 4.7 3.2 1.6 0.2 A 4.8 3.1 1.6 0.2 A 5.4 3.4 1.5 0.4 A 5.2 4.1 1.5 0.1 A 5.5 4.2 1.4 0.2 A 4.9 3.1 1.5 0.1 A 5 3.2 1.2 0.2 A 5.5 3.5 1.3 0.2 A 4.9 3.1 1.5 0.1 A 4.4 3 1.3 0.2 A 5.1 3.4 1.5 0.2 A 5 3.5 1.3 0.3 A 4.5 2.3 1.3 0.3 A 4.4 3.2 1.3 0.2 A 5 3.5 1.6 0.6 A 5.1 3.8 1.9 0.4 A 4.8 3 1.4 0.3 A 5.1 3.8 1.6 0.2 A 4.6 3.2 1.4 0.2 A 5.3 3.7 1.5 0.2 A 5 3.3 1.4 0.2 A 7 3.2 4.7 1.4 B 6.4 3.2 4.5 1.5 B 6.9 3.1 4.9 1.5 B 5.5 2.3 4 1.3 B 6.5 2.8 4.6 1.5 B 5.7 2.8 4.5 1.3 B 6.3 3.3 4.7 1.6 B 4.9 2.4 3.3 1 B 6.6 2.9 4.6 1.3 B 5.2 2.7 3.9 1.4 B 5 2 3.5 1 B 5.9 3 4.2 1.5 B 6 2.2 4 1 B 6.1 2.9 4.7 1.4 B 5.6 2.9 3.6 1.3 B 6.7 3.1 4.4 1.4 B 5.6 3 4.5 1.5 B 5.8 2.7 4.1 1 B 6.2 2.2 4.5 1.5 B 5.6 2.5 3.9 1.1 B 5.9 3.2 4.8 1.8 B 6.1 2.8 4 1.3 B 6.3 2.5 4.9 1.5 B 6.1 2.8 4.7 1.2 B 6.4 2.9 4.3 1.3 B 6.6 3 4.4 1.4 B 6.8 2.8 4.8 1.4 B 6.7 3 5 1.7 B 6 2.9 4.5 1.5 B 5.7 2.6 3.5 1 B 5.5 2.4 3.8 1.1 B 5.5 2.4 3.7 1 B 5.8 2.7 3.9 1.2 B 6 2.7 5.1 1.6 B 5.4 3 4.5 1.5 B 6 3.4 4.5 1.6 B 6.7 3.1 4.7 1.5 B 6.3 2.3 4.4 1.3 B 5.6 3 4.1 1.3 B 5.5 2.5 4 1.3 B 5.5 2.6 4.4 1.2 B 6.1 3 4.6 1.4 B 5.8 2.6 4 1.2 B 5 2.3 3.3 1 B 5.6 2.7 4.2 1.3 B 5.7 3 4.2 1.2 B 5.7 2.9 4.2 1.3 B 6.2 2.9 4.3 1.3 B 5.1 2.5 3 1.1 B 5.7 2.8 4.1 1.3 B