---
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: model_main_v2_hf.joblib
widget:
- structuredData:
alcohol:
- 10.8
- 9.6
- 11.7
chlorides:
- 0.171
- 0.095
- 0.063
citric acid:
- 0.43
- 0.0
- 0.33
density:
- 0.9982
- 0.99854
- 0.99516
fixed acidity:
- 10.8
- 8.1
- 9.1
free sulfur dioxide:
- 27.0
- 5.0
- 13.0
pH:
- 3.17
- 3.36
- 3.26
residual sugar:
- 2.1
- 4.1
- 2.05
sulphates:
- 0.76
- 0.53
- 0.84
total sulfur dioxide:
- 66.0
- 14.0
- 27.0
volatile acidity:
- 0.47
- 0.82
- 0.29
---
# Model description
This is the best model
## Intended uses & limitations
[More Information Needed]
## Training Procedure
[More Information Needed]
### Hyperparameters
Click to expand
| Hyperparameter | Value |
|--------------------------|---------|
| bootstrap | True |
| ccp_alpha | 0.0 |
| class_weight | |
| criterion | gini |
| max_depth | |
| max_features | sqrt |
| max_leaf_nodes | |
| max_samples | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| monotonic_cst | |
| n_estimators | 100 |
| n_jobs | |
| oob_score | False |
| random_state | 0 |
| verbose | 0 |
| warm_start | False |
RandomForestClassifier(random_state=0)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(random_state=0)