amair
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2 Questions
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votes
1
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2k
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Decision trees, the number of leaves, the number of instances and overfitting
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Interpreting bagging and boosting results
17 Answers
23 Votes
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50 Tags
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machine-learning
× 6 boosting × 4 bias × 4 decision-trees × 4 variance × 4 overfitting × 4 bagging × 4 svm × 3 and × 2 libsvm × 2 |
dbn
× 2 java × 2 audio × 2 cure × 2 birch × 2 rbm × 2 regression × 1 binary × 1 gaussian-processes × 1 feature-extraction × 1 |
supervised-learning
× 1 support-vector-machines × 1 ensemble × 1 svm-software × 1 svmlight × 1 feature-selection × 1 learning × 1 programming × 1 practical-advice × 1 blogs × 1 |
weka
× 1 machine × 1 random-forests × 1 beginner × 1 imbalanced-data × 1 regularization × 1 evolutionary-methods × 1 python × 1 optimization × 1 search × 1 |
online-learning
× 1 suggestions × 1 books × 1 data-mining × 1 auc × 1 grid × 1 neural-networks × 1 clustering × 1 theano × 1 clusteringjava × 1 |
11 Kudos
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● Appreciated Answer × 4 ● Well-Known Question × 2 ● Conspicuous Question × 2 ● Prominent Question × 2 ● Esteemed Answer × 1 ● Advocate × 1 |
● Discriminating × 1 ● Vigilant × 1 ● Guide × 1 ● Revisionist × 1 ● Pronouncement × 1 |
