Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with gbm
Search options not deleted
user 15501
Gradient Boosting Machine
10
votes
Need help understanding xgboost's approximate split points proposal
I won't go into details but the following should help you grasp the idea.
They use Quantiles (Wikipedia) to determine where to split. If you have 100 possible split points, $\{x_1, \cdots, x_{100}\}$ …
- 1,396
28
votes
Accepted
Why is xgboost so much faster than sklearn GradientBoostingClassifier?
Since you mention "numeric" features, I guess your features are not categorical and have a high arity (they can take a lot of different values, and thus there are a lot of possible split points). In s …
- 1,396
2
votes
Comparing Categorical and Continuous Features using Splits in GBM
As pointed in the comments, there is a distinction to make between the importance of a feature for the model, i.e., how many times it is used, and the importance for the accuracy of the prediction. Th …
- 1,396