Artificial intelligence

4. Consider the following data from your file search history that categorize a document to either relevant or irrelevant for the Al final exam. The data set consists of three features (Contains "Al", Contains "Probability", Length) and Is_Relevant as the class label. Use Naive E !nt with the features is likely to be relevant for your Al final exam or not, where Y=1 means Frequently, Y=2 means Sometimes, and Y=3 means Rarely. [6] 4. Consider the following data from your file search history that categorize a document to either relevant or irrelevant for the Al final exam. The data set consists of three features (Contains "Al", Contains "Probability", Length) and Is_Relevant as the class label. y=2 Use Naive Bayes classifier with Laplacian smoothing (K=X) to determine whether a document with the features is likely to be relevant for your Al final exam or not, where Y=1 means Frequently, Y=2 means Sometimes, and Y=3 means Rarely. [6]