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Results tagged with random-forest
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user 39076
Random forest is a machine learning ensemble method based on choosing random subsets of observations and variables for each of many decision trees.
1
vote
2
answers
289
views
Vectorizing text data for ML models
Here is the sample data I have:
Tag 1(Val: X), Tag 2(Val: Y), Tag 3(Val: Z), Label (Val: P)
Tag 1(Val: A), Tag 2(Val: B), Tag 3(Val: C), Label (Val: Q)
Tag 1(Val: D), Tag 2(Val: E), Tag 3(Val: F), …
- 35
2
votes
4
answers
3k
views
Using HashingVectorizer for text vectorization
Here is the sample data I have:
Tag 1(Val: X), Tag 2(Val: Y), Tag 3(Val: Z), Label (Val: P)
Tag 1(Val: A), Tag 2(Val: B), Tag 3(Val: C), Label (Val: Q)
Tag 1(Val: D), Tag 2(Val: E), Tag 3(Val: F), …
- 35
0
votes
1
answer
2k
views
Giving higher priority to certain inputs in SKLearn Random Forest
Here is the sample data I have:
Tag 1(Val: X), Tag 2(Val: Y), Tag 3(Val: Z), Label (Val: P)
Tag 1(Val: A), Tag 2(Val: B), Tag 3(Val: C), Label (Val: Q)
Tag 1(Val: D), Tag 2(Val: E), Tag 3(Val: F), …
- 35