5. A devoted skier who lives near the high sierra, a beautiful mountain range in California,...

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5. A devoted skier who lives near the high sierra, a beautiful mountain range in California, wants a decision tree to help him decide whether it is worthwhile to drive his car to a ski resort in the mountains. Day 1 2 3 4 5 6 7 8 9 Day 12 13 14 10 11 Snow Dist 100 100 100 <100 >100 >100 >100 >100 >100 >100 >100 Snow Dist >100 100 >100 b) Apply the decision tree to the following drivers: Weekend yes yes yes no no yes yes yes yes no no no no Weekend yes Sun yes yes no yes yes yes yes no yes yes no a) Construct a decision tree based on this training data. For splitting, use information gain as measure for impurity. Build a separate branch for each attribute. The decision tree shall stop when all instances in the branch have the same class, you do not need to apply a pruning algorithm. Skiing yes yes yes Sun No Yes No yes yes yes no no no no no Skiing 9 2 9 5. A devoted skier who lives near the high sierra, a beautiful mountain range in California, wants a decision tree to help him decide whether it is worthwhile to drive his car to a ski resort in the mountains. Day 1 2 3 4 5 6 7 8 9 Day 12 13 14 10 11 Snow Dist 100 100 100 <100 >100 >100 >100 >100 >100 >100 >100 Snow Dist >100 100 >100 b) Apply the decision tree to the following drivers: Weekend yes yes yes no no yes yes yes yes no no no no Weekend yes Sun yes yes no yes yes yes yes no yes yes no a) Construct a decision tree based on this training data. For splitting, use information gain as measure for impurity. Build a separate branch for each attribute. The decision tree shall stop when all instances in the branch have the same class, you do not need to apply a pruning algorithm. Skiing yes yes yes Sun No Yes No yes yes yes no no no no no Skiing 9 2 9

Answer rating: 100% (QA)

aLets draw the decision tree The Decision whether to go for skiing is written in Cir... View the full answer