vmattoso/my-wine-classification-first-model_v2

Model description

This is the best model

Intended uses & limitations

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Training Procedure

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Hyperparameters

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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

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Model Card Authors

This model card is written by following authors:

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Model Card Contact

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Citation

Below you can find information related to citation.

BibTeX:

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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