We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
Fast Forest Binary Classifier
The Fast Forest trainer is used for training a decision tree binary classification model using the Fast Forest method.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Number of Leaves | Leaves | The max number of leaves in each regression tree. | Integer |
| Number of Trees | Trees | Total number of decision trees to create in the ensemble. | Integer |
| Minimum Example Count Per Leaf | Count | The minimal number of data points required to form a new tree leaf. | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Trainer Type | Trainer Type | The trainer used for machine learning problems. | Generic |
Site design © Robin Rodricks.
LunchBox and associated data © 2024 Nathan Miller.
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.
Hosted by GitHub