Model description

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Intended uses & limitations

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Training Procedure

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Hyperparameters

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Hyperparameter	Value
C	1.0
class_weight
dual	False
fit_intercept	True
intercept_scaling	1
l1_ratio
max_iter	100
multi_class	auto
n_jobs
penalty	l2
random_state
solver	lbfgs
tol	0.0001
verbose	0
warm_start	False

Model Plot

LogisticRegression()

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Evaluation Results

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How to Get Started with the Model

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Model Card Authors

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Citation

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model_card_authors

Joseph Torreggiani

limitations

This model is intended for educational purposes.

model_description

This is a Logistic Regression model for text classification.