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2 (a). Use Nave Bayes Classification method to classify the following sample data. X= (Age= Young , Income= High , Job= Yes , Credit_Rating= Excellent
2 (a). Use Nave Bayes Classification method to classify the following sample data. X= (Age=Young, Income=High, Job=Yes, Credit_Rating=Excellent).
Age | Income | Job | Credit_Rating | Give_Loan |
Young | Low | No | Fair | No |
Young | High | No | Fair | No |
Old | High | Yes | Excellent | Yes |
Middle_Aged | High | Yes | Fair | Yes |
Old | Low | No | Fair | No |
Middle_Aged | High | No | Excellent | No |
Young | Low | No | Excellent | Yes |
Old | High | No | Fair | No |
Explain the effect of Laplacian Correction on the classification performance if the correction is made on a small portion of dataset rather than the whole dataset.
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