- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 441 - 450 of 1,705 for document (0.7 sec)
-
r2_score — scikit-learn 1.7.0 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 1.7.0 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 -
log_loss — scikit-learn 1.7.0 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 -
matthews_corrcoef — scikit-learn 1.7.0 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 -
rand_score — scikit-learn 1.7.0 documentation
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
det_curve — scikit-learn 1.7.0 documentation
Gallery examples: Detection error tradeoff (DET) curvescikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
make_moons — scikit-learn 1.7.0 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Comparing anomaly detection algori...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_circles — scikit-learn 1.7.0 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Kernel PCA Hashing feature transfo...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
set_config — scikit-learn 1.7.0 documentation
Gallery examples: Metadata Routing Displaying Pipelines Introducing the set_output API Post-tuning the decision threshold for cost-sensitive learning Target Encoder’s Internal Cross fitting Release...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
sklearn.ensemble — scikit-learn 1.7.0 documenta...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/stable/api/sklearn.ensemble.html