YAML Metadata
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Model description
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Intended uses & limitations
This model is not ready to be used in production (J).
Training Procedure
Hyperparameters
The model is trained with below hyperparameters.
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Hyperparameter | Value |
---|---|
memory | |
steps | [('imputer', SimpleImputer()), ('scaler', StandardScaler()), ('model', LogisticRegression())] |
verbose | False |
imputer | SimpleImputer() |
scaler | StandardScaler() |
model | LogisticRegression() |
imputer__add_indicator | False |
imputer__copy | True |
imputer__fill_value | |
imputer__keep_empty_features | False |
imputer__missing_values | nan |
imputer__strategy | mean |
imputer__verbose | deprecated |
scaler__copy | True |
scaler__with_mean | True |
scaler__with_std | True |
model__C | 1.0 |
model__class_weight | |
model__dual | False |
model__fit_intercept | True |
model__intercept_scaling | 1 |
model__l1_ratio | |
model__max_iter | 100 |
model__multi_class | auto |
model__n_jobs | |
model__penalty | l2 |
model__random_state | |
model__solver | lbfgs |
model__tol | 0.0001 |
model__verbose | 0 |
model__warm_start | False |
Model Plot
The model plot is below.
Pipeline(steps=[('imputer', SimpleImputer()), ('scaler', StandardScaler()),('model', LogisticRegression())])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Pipeline(steps=[('imputer', SimpleImputer()), ('scaler', StandardScaler()),('model', LogisticRegression())])
SimpleImputer()
StandardScaler()
LogisticRegression()
Evaluation Results
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How to Get Started with the Model
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Model Card Authors
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Model Card Contact
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Citation
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BibTeX:
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