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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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Citation

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