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Animal Classification using Bayes Classifier -10 marks a)Consider the following animal dataset and answer the questions below Name Blood Type Give Birth Can Fly Live in Water Class human warm cold CO warm CO CO warm warm warm yes no no yes no no yes no no yes yes sometimes amphibians mammals reptiles fishes mammals python salmon whale komodo no no no yes sometimes reptiles sometimes Ibirds reptiles mammals birds mammals fishes pigeon Cat leopard shark cold turtle penguin porcupine eel salamander cold gila monster cold platypus yes yes yes CO warm warm CO no no no no no no no mammal:s fishes yes yes sometimes amphibians warm warm warm warm reptiles mammals birds mammals birds yes no dolphin eagle yes no yes no yes List the names of the attributes with their types How many different classes are there? What is the size of the data set? (b) The .Naive Bayes Classifier Approach o Compute the posterior probability P(C | A1, A2, ..., An) for all values of C using the Bayes theorem o Choose value of C that maximizes P(C A1, A2, ..., An) Equivalent to choosing value of C that maximizes P( A1, A2, ..., Anl | C) x P( C) o PCIA.A. .. . A.) = P(44, 41 C)P(C) P(A,A2.A Assume independence among attributes Aj when class is given o P(A1, A2, ..., An |C)P(A C) P(A2l C) P(Anl C) Can estimate P(Al C) for all A, and C New point is classified to C, if P(C) 11 PAI C:) is maximal Compute all probabilities P(A1l C), P(A2l C)... P(A,l C) for each class Animal Classification using Bayes Classifier -10 marks a)Consider the following animal dataset and answer the questions below Name Blood Type Give Birth Can Fly Live in Water Class human warm cold CO warm CO CO warm warm warm yes no no yes no no yes no no yes yes sometimes amphibians mammals reptiles fishes mammals python salmon whale komodo no no no yes sometimes reptiles sometimes Ibirds reptiles mammals birds mammals fishes pigeon Cat leopard shark cold turtle penguin porcupine eel salamander cold gila monster cold platypus yes yes yes CO warm warm CO no no no no no no no mammal:s fishes yes yes sometimes amphibians warm warm warm warm reptiles mammals birds mammals birds yes no dolphin eagle yes no yes no yes List the names of the attributes with their types How many different classes are there? What is the size of the data set? (b) The .Naive Bayes Classifier Approach o Compute the posterior probability P(C | A1, A2, ..., An) for all values of C using the Bayes theorem o Choose value of C that maximizes P(C A1, A2, ..., An) Equivalent to choosing value of C that maximizes P( A1, A2, ..., Anl | C) x P( C) o PCIA.A. .. . A.) = P(44, 41 C)P(C) P(A,A2.A Assume independence among attributes Aj when class is given o P(A1, A2, ..., An |C)P(A C) P(A2l C) P(Anl C) Can estimate P(Al C) for all A, and C New point is classified to C, if P(C) 11 PAI C:) is maximal Compute all probabilities P(A1l C), P(A2l C)... P(A,l C) for each class