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### Describe the bug
It is known that random forrest regression (as well as many decision tree-based methods) are not affected by the scale of the data and don't require any scaling in the feature …
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c5.9xlarge (18 cores, HT off):
**1M:**
**Lightgbm:**
```
suppressMessages({
library(data.table)
library(ROCR)
library(lightgbm)
library(Matrix)
})
set.seed(123)
d_train
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Experiment and Implement classification models -
1. Decision Tree
2. Random Forest
3. Logistic Regression
4. Naive Bayes models.
Evaluate and compare models on metrics (accuracy, precision, …
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@tdhock,
The existing interval regression models include AFT, linear, and decision tree methods. While it may seem like a straightforward approach, would it be feasible to write a paper exploring the…
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Train Random Forest model on data set.
Use sklearn.
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Replace the current linear regressions with some of these options
1. fine-tune existing model (fine-tune the LLM weights)
2. random forest or similar on the embeddings
3. neural network on top of …
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It would be very nice to have quality stats for the simple model, maybe in a new subtab of Annotation tab.
The idea is to do 10-CV predictions on the tagged training data, and produce a confusion tab…
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### What client do you play on?
enUS
### Faction
- [X] Alliance
- [ ] Horde
### Content Phase:
- [X] Generic
- [ ] 1-19
- [ ] 20-29
- [ ] 30-39
- [ ] 40-49
- [ ] 50-59
- [ ] 60
### Current Behav…
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random forest简介
- random forest是目前非常流行的一种机器学习模型。
- random forest是弱决策模型。 所谓弱决策， 就是集中很多意见，不论意见的可信度到底如何。正所谓三个臭皮匠顶一个诸葛亮，在很多情况下你会发现它的表现可能比一个专家的意见更有效。
- 为什么random forest有如此奇效呢？
根据the law of large …