.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples\3_models\plot_0_glm_cls.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code or to run this example in your browser via Binder .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_3_models_plot_0_glm_cls.py: GLM Logistic Regression (Taiwan Credit) ========================================== .. GENERATED FROM PYTHON SOURCE LINES 9-10 Experiment initialization and data preparation .. GENERATED FROM PYTHON SOURCE LINES 10-18 .. code-block:: default from piml import Experiment from piml.models import GLMClassifier exp = Experiment() exp.data_loader(data="TaiwanCredit", silent=True) exp.data_summary(feature_exclude=["LIMIT_BAL", "SEX", "EDUCATION", "MARRIAGE", "AGE"], silent=True) exp.data_prepare(target="FlagDefault", task_type="classification", silent=True) .. GENERATED FROM PYTHON SOURCE LINES 19-20 Train Model .. GENERATED FROM PYTHON SOURCE LINES 20-22 .. code-block:: default exp.model_train(model=GLMClassifier(), name="GLM") .. GENERATED FROM PYTHON SOURCE LINES 23-24 Evaluate predictive performance .. GENERATED FROM PYTHON SOURCE LINES 24-26 .. code-block:: default exp.model_diagnose(model="GLM", show='accuracy_table') .. rst-class:: sphx-glr-script-out .. code-block:: none ACC AUC F1 LogLoss Brier Train 0.8083 0.7375 0.3745 0.4585 0.1431 Test 0.8150 0.7356 0.3764 0.4458 0.1385 Gap 0.0067 -0.0019 0.0019 -0.0127 -0.0046 .. GENERATED FROM PYTHON SOURCE LINES 27-28 Regression coefficient plot for numerical features .. GENERATED FROM PYTHON SOURCE LINES 28-30 .. code-block:: default exp.model_interpret(model="GLM", show="glm_coef_plot", figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_001.png :alt: Model Coefficients :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_001.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 31-32 Regression coefficient table for all features .. GENERATED FROM PYTHON SOURCE LINES 32-34 .. code-block:: default exp.model_interpret(model="GLM", show="glm_coef_table") .. GENERATED FROM PYTHON SOURCE LINES 35-36 Feature importance plot .. GENERATED FROM PYTHON SOURCE LINES 36-38 .. code-block:: default exp.model_interpret(model="GLM", show="global_fi", figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_002.png :alt: Feature Importance :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 39-40 Local interpretation without centering .. GENERATED FROM PYTHON SOURCE LINES 40-42 .. code-block:: default exp.model_interpret(model="GLM", show="local_fi", sample_id=0, centered=False, original_scale=False, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_003.png :alt: Predicted: 0.2640 | Actual: 0.0000 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_003.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 43-44 Local interpretation with original scale of x .. GENERATED FROM PYTHON SOURCE LINES 44-46 .. code-block:: default exp.model_interpret(model="GLM", show="local_fi", sample_id=0, centered=False, original_scale=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_004.png :alt: Predicted: 0.2640 | Actual: 0.0000 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_004.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 47-48 Local interpretation with centering and original scale of x .. GENERATED FROM PYTHON SOURCE LINES 48-49 .. code-block:: default exp.model_interpret(model="GLM", show="local_fi", sample_id=0, centered=True, original_scale=True, figsize=(5, 4)) .. image-sg:: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_005.png :alt: Predicted: 0.2640 | Actual: 0.0000 :srcset: /auto_examples/3_models/images/sphx_glr_plot_0_glm_cls_005.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 57.648 seconds) **Estimated memory usage:** 34 MB .. _sphx_glr_download_auto_examples_3_models_plot_0_glm_cls.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/selfexplainml/piml-toolbox/main?urlpath=lab/tree/./docs/_build/html/notebooks/auto_examples/3_models/plot_0_glm_cls.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_0_glm_cls.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_0_glm_cls.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_