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Recursive feature elimination — scikit-learn 1....
This example demonstrates how Recursive Feature Elimination ( RFE) can be used to determine the importance of individual pixels for classifying handwritten digits. RFE recursively removes the least...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Polynomial and Spline interpolation — scikit-le...
This example demonstrates how to approximate a function with polynomials up to degree degree by using ridge regression. We show two different ways given n_samples of 1d points x_i: PolynomialFeatur...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
det_curve — scikit-learn 1.7.1 documentation
Gallery examples: Detection error tradeoff (DET) curvescikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
matthews_corrcoef — scikit-learn 1.7.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version matthews_corrcoef # sklearn.metrics. matthews_corrcoe...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
coverage_error — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
SGD: Penalties — scikit-learn 1.7.1 documentation
Contours of where the penalty is equal to 1 for the three penalties L1, L2 and elastic-net. All of the above are supported by SGDClassifier and SGDRegressor. Total running time of the script:(0 min...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html -
r2_score — scikit-learn 1.7.1 documentation
Gallery examples: Effect of transforming the targets in regression model Failure of Machine Learning to infer causal effects L1-based models for Sparse Signals Non-negative least squares Ordinary L...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
roc_curve — scikit-learn 1.7.1 documentation
Gallery examples: Species distribution modeling Visualizations with Display Objects Detection error tradeoff (DET) curve Multiclass Receiver Operating Characteristic (ROC)scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
classification_report — scikit-learn 1.7.1 docu...
Gallery examples: Faces recognition example using eigenfaces and SVMs Recognizing hand-written digits Column Transformer with Heterogeneous Data Sources Pipeline ANOVA SVM Custom refit strategy of ...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
log_loss — scikit-learn 1.7.1 documentation
Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Plot classification probability Gradient Boosting Out-of-Bag estimates Gradient Boosting regulari...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html