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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()Please rerun this cell to show the HTML repr or trust the notebook.
LogisticRegression()
Evaluation Results
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