You decide to test another modelling approach. For a classification purpose, you discretize your datase N Y X X N Y X X

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You decide to test another modelling approach. For a classification purpose, you discretize your datase N Y X X N Y X X

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You Decide To Test Another Modelling Approach For A Classification Purpose You Discretize Your Datase N Y X X N Y X X 1
You Decide To Test Another Modelling Approach For A Classification Purpose You Discretize Your Datase N Y X X N Y X X 1 (23.38 KiB) Viewed 56 times
You decide to test another modelling approach. For a classification purpose, you discretize your datase N Y X X N Y X X X N Y X X 1 Strong 12 5.2 Yes 11 Weak L 4,7 Yes 21 Weak 5,3 2 Weak LI 3,5 No 12 Weak 2.7 Yes 22 Weak LI 3.1 3 Strong 3.9 No Strong LI 4.4 No 23 Strong 3,8 4 Weak 47 14 Strong 12 3,5 No 24 Strong 12 45 5 Weak LI 3,0 Yes 15 Weak 4,9 No 25 Weak LI 50 6 Strong 11 5.2 No 16 Strong 3,6 Yes 26 Strong 4.1 Strong 11 2.9 Yes 17 Strong 3.7 Yes 27 Weak LI 3,4 Strong 5.4 No 18 Weak 53 Yes 28 Strong 12 3,8 Strong 12 4.4 No 19 Weak LI 4.0 No 29 Strong LI 4,6 10 Strong L 4,3 Yes 20 Strong L2 4.1 No 30 Weak 3.0 00616 Yes Nole BICE ONUN 660012161660196 INSIGN ir TILL X No No Yes Yes Yes Yes Yes No Yes Yes 12 16 sols TOT site 016610 DEEL EN --- -

4 Decision tree: 4-1 In order to compare different classification models, you decide to use the decision tree approach Provide the Entropy of Y: Entropy(Y). 4-2 Which variable (X, or X,) can be used for the first node of your decision tree? Provide your justification, based on the Entropy criteria 5. Rayes model: You decide to use Bayes classification model taking into account Y, X, and X, Provide the probability of Y- "Strong" for a new observation with: X, = "12" X3 = 'No"
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