Model description

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Intended uses & limitations

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Training Procedure

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Hyperparameters

Model Plot

Pipeline(steps=[('count', CountVectorizer()), ('clf', MultinomialNB())])

Pipeline(steps=[('count', CountVectorizer()), ('clf', MultinomialNB())])

CountVectorizer()

MultinomialNB()

Evaluation Results

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

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

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(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 Multinomial Naive Bayes model trained on 20 news groups dataset.Count vectorizer is used for vectorization.

eval_method

The model is evaluated on validation data from 20 news group's test split, using accuracy and F1-score with micro average.

Confusion matrix

Classification Report