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Results tagged with ensemble-learning
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user 49738
In machine learning, ensemble methods combine multiple algorithms to make a prediction. Bagging, boosting and stacking are some examples.
1
vote
Classification using categorical and text data
Is this a valid approach given the two models use different parts of the training data?
Training two classifiers on disjoint subsets of features you’ll not be able to capture the interaction betw …
- 415
0
votes
Train Classifier on Text AND Categorical AND Numerical data
Instead of combining different classifiers trained on disjoint subsets of features you could use vowpal wabbit which supports numerical, categorical and text features (via hashing trick).
If I under …
- 415