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  1. l1_min_c — scikit-learn 1.8.0 documentation

    Gallery examples: Regularization path of L1- Logistic Regression
    scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html
    Mon Jan 19 11:28:23 GMT 2026
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  2. add_dummy_feature — scikit-learn 1.8.0 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html
    Mon Jan 19 11:28:24 GMT 2026
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  3. Normal, Ledoit-Wolf and OAS Linear Discriminant...

    This example illustrates how the Ledoit-Wolf and Oracle Approximating Shrinkage (OAS) estimators of covariance can improve classification. Total running time of the script:(0 minutes 8.370 seconds)...
    scikit-learn.org/stable/auto_examples/classification/plot_lda.html
    Mon Jan 19 11:28:25 GMT 2026
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  4. Bisecting K-Means and Regular K-Means Performan...

    This example shows differences between Regular K-Means algorithm and Bisecting K-Means. While K-Means clusterings are different when increasing n_clusters, Bisecting K-Means clustering builds on to...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Mon Jan 19 11:28:24 GMT 2026
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  5. Statistical comparison of models using grid sea...

    Documentation for GridSearchCV i Fitted...SVC(random_state=0) SVC ? Documentation for SVC Parameters C C:...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html
    Mon Jan 19 11:28:23 GMT 2026
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  6. 1.1. Linear Models — scikit-learn 1.8.0 d...

    Examples Classification of text documents using sparse features 1.1.2.3....Stochastic Gradient Descent documentation section for more details....
    scikit-learn.org/stable/modules/linear_model.html
    Mon Jan 19 11:28:24 GMT 2026
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  7. Support Vector Regression (SVR) using linear an...

    Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.689 seconds) La...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Mon Jan 19 11:28:23 GMT 2026
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  8. Post-tuning the decision threshold for cost-sen...

    Documentation for HistGradientBoosting...TunedThresholdClassi ? Documentation for TunedThresholdClassi...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Mon Jan 19 11:28:23 GMT 2026
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  9. One-class SVM with non-linear kernel (RBF) &#82...

    An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...
    scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html
    Mon Jan 19 11:28:23 GMT 2026
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  10. Model Selection — scikit-learn 1.8.0 docu...

    Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...
    scikit-learn.org/stable/auto_examples/model_selection/index.html
    Mon Jan 19 11:28:25 GMT 2026
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