README.md

metadata

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
        - 0.33
      density:
        - 0.9982
        - 0.99854
        - 0.99516
      fixed acidity:
        - 10.8
        - 8.1
        - 9.1
      free sulfur dioxide:
        - 27
        - 5
        - 13
      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
        - 14
        - 27
      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

Model Plot

RandomForestClassifier(random_state=0)

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Evaluation Results

Metric	Value
accuracy	0.7125

How to Get Started with the Model

[More Information Needed]

Model Card Authors

This model card is written by following authors:

[More Information Needed]

Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

Below you can find information related to citation.

BibTeX:

[More Information Needed]

citation_bibtex

bibtex @inproceedings{...,year={2020}}

get_started_code

import pickle with open(dtc_pkl_filename, 'rb') as file: clf = pickle.load(file)

model_card_authors

skops_user

limitations

This model is not ready to be used in production.

model_description

This is a RandomForest Model model trained on wine classification dataset.

confusion_matrix