Chat with us, powered by LiveChat Use the HeartDesease_DataFile.xls file as training data set and create a decision tree, and a Naïve Bayes Classifier in R that will predict the following records (AKA test data) for Heart | Wridemy

09 Oct Use the HeartDesease_DataFile.xls file as training data set and create a decision tree, and a Naïve Bayes Classifier in R that will predict the following records (AKA test data) for Heart

Posted at 02:04h in Computer Science by

 Use the HeartDesease_DataFile.xls file as training data set and create a decision tree, and a Naïve
Bayes Classifier in R that will predict the following records (AKA test data) for Heart Disease. For the
Decision Tree section of this assignment, show your tree in R based on the training data set.
Yes, 95, No, Yes
No, 80, Yes, No
Yes, 95, N0, Yes     // professor might mentioned wrong
Yes, 100, Yes, No 

Data

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ChestPain Mass BlockedArteries GoodBloodCirculation HeartDisease
Yes 87 Yes No Yes
Yes 92 Yes No Yes
Yes 82 Yes No Yes
Yes 98 Yes No Yes
Yes 85 Yes No Yes
Yes 96 Yes No Yes
Yes 80 Yes No Yes
Yes 80 Yes No Yes
Yes 97 Yes No Yes
Yes 80 Yes No Yes
Yes 73 Yes No Yes
Yes 73 Yes No Yes
Yes 79 Yes No Yes
Yes 91 Yes No Yes
Yes 86 Yes Yes Yes
Yes 98 Yes Yes Yes
Yes 75 Yes Yes Yes
Yes 86 Yes Yes Yes
Yes 75 Yes Yes Yes
Yes 87 Yes Yes Yes
Yes 89 Yes Yes Yes
Yes 76 Yes Yes Yes
Yes 74 Yes Yes Yes
Yes 98 Yes Yes Yes
Yes 83 Yes Yes Yes
Yes 76 Yes Yes Yes
Yes 83 Yes Yes Yes
Yes 83 Yes Yes Yes
Yes 93 Yes Yes Yes
Yes 100 Yes Yes Yes
Yes 96 Yes Yes Yes
Yes 75 Yes Yes Yes
Yes 81 Yes Yes Yes
Yes 99 Yes Yes Yes
Yes 95 Yes Yes Yes
Yes 71 Yes Yes Yes
Yes 92 Yes Yes Yes
Yes 73 Yes Yes Yes
Yes 89 Yes Yes Yes
Yes 82 Yes Yes Yes
Yes 93 Yes No Yes
Yes 85 Yes No Yes
Yes 96 Yes No Yes
Yes 71 Yes No Yes
Yes 97 Yes No Yes
Yes 89 Yes No Yes
Yes 79 Yes No Yes
Yes 86 Yes No Yes
Yes 78 Yes No Yes
Yes 86 Yes No Yes
Yes 93 Yes No Yes
Yes 81 Yes No Yes
Yes 75 Yes No Yes
Yes 100 Yes No Yes
Yes 70 Yes No Yes
Yes 84 Yes No Yes
Yes 87 Yes No Yes
Yes 88 Yes No Yes
Yes 96 Yes No Yes
Yes 89 Yes No Yes
Yes 89 Yes No Yes
Yes 74 Yes No Yes
Yes 97 Yes No Yes
Yes 77 Yes No Yes
Yes 80 Yes No Yes
Yes 71 Yes No Yes
Yes 77 Yes No Yes
Yes 93 Yes No Yes
Yes 71 Yes No Yes
Yes 93 Yes No Yes
Yes 92 Yes No Yes
Yes 98 Yes No Yes
Yes 84 Yes No Yes
Yes 85 Yes No Yes
Yes 87 Yes No Yes
Yes 95 Yes No Yes
Yes 99 Yes No Yes
Yes 79 Yes No Yes
Yes 73 Yes No Yes
Yes 72 Yes No Yes
Yes 72 Yes No Yes
Yes 93 Yes No Yes
Yes 90 Yes No Yes
Yes 82 Yes No Yes
Yes 81 Yes No Yes
Yes 72 Yes No Yes
Yes 98 Yes No Yes
Yes 84 Yes No Yes
Yes 98 Yes No Yes
Yes 97 Yes No Yes
Yes 89 Yes No Yes
Yes 85 Yes No Yes
Yes 77 No No Yes
Yes 94 No No Yes
Yes 77 No No Yes
Yes 83 No No Yes
Yes 79 No No Yes
Yes 74 No No Yes
Yes 84 No No Yes
Yes 97 No No Yes
Yes 71 No No Yes
Yes 88 No No Yes
Yes 84 No No Yes
Yes 99 No No Yes
Yes 70 No No Yes
Yes 61 Yes Yes No
Yes 89 Yes Yes No
Yes 88 Yes Yes No
Yes 81 Yes Yes No
Yes 60 Yes Yes No
Yes 70 Yes Yes No
Yes 69 Yes Yes No
Yes 67 Yes Yes No
Yes 99 Yes Yes No
Yes 84 Yes Yes No
Yes 82 Yes Yes No
Yes 73 Yes Yes No
Yes 75 Yes Yes No
Yes 65 Yes Yes No
Yes 73 Yes Yes No
Yes 81 Yes Yes No
Yes 70 Yes Yes No
Yes 82 Yes Yes No
Yes 96 Yes Yes No
Yes 87 Yes Yes No
Yes 82 Yes Yes No
Yes 88 Yes Yes No
Yes 92 Yes Yes No
Yes 75 Yes Yes No
Yes 61 Yes Yes No
Yes 77 Yes Yes No
Yes 68 Yes Yes No
Yes 72 Yes Yes No
Yes 84 Yes Yes No
Yes 66 Yes Yes No