Coding a decision tree (ID3) from scratch to classify cars based on car_evaluation dataset
$10-30 USD
Dibayar saat pengiriman
The data contains a total of 1728 examples
classified into acc, unacc, good and vgood based on 6 attributes.
buying: vhigh, high, med, low.
maint: vhigh, high, med, low.
doors: 2, 3, 4, 5.
persons: 2, 4, 5.
lug_boot: small, med, big.
safety: low, med, high.
1. You must code your decision tree classifier (ID3) model from scratch. Include the
entropy calculation and information gain to compare the accuracy of your model.
You can take reference and code by your understanding, but you cannot copy
code from online and just cite them.
2. Use the trained decision tree to classify the training and test instances. Print
accuracy and classification matrix of the tree.
3. Print and comment which feature has more information gain in your decision tree
splits.
ID Proyek: #32039437
Tentang proyek
13 freelancer rata-rata menawar $49 untuk pekerjaan ini
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