Search Options

Display Count
Sort
Preferred Language
Label
Advanced Search

Results 481 - 490 of 2,583 for document (0.6 seconds)

Filter
  1. auc — scikit-learn 1.8.0 documentation

    Gallery examples: Species distribution modeling Poisson regression and non-normal loss Tweedie regression on insurance claims Precision-Recall Multiclass Receiver Operating Characteristic (ROC) Rec...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html
    Mon Mar 23 20:39:23 UTC 2026
      14.3K bytes
      Cache
     
  2. paired_distances — scikit-learn 1.8.0 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version paired_distances # sklearn.metrics.pairwise. paired_d...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html
    Mon Mar 23 20:39:21 UTC 2026
      13.4K bytes
      Cache
     
  3. PredictionErrorDisplay — scikit-learn 1.8.0 doc...

    Gallery examples: Time-related feature engineering Lagged features for time series forecasting Effect of transforming the targets in regression model Combine predictors using stacking Common pitfal...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html
    Mon Mar 23 20:39:20 UTC 2026
      16.7K bytes
      Cache
     
  4. OneVsOneClassifier — scikit-learn 1.8.0 documen...

    Gallery examples: Overview of multiclass training meta-estimators
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
      17.5K bytes
      Cache
     
  5. OneVsRestClassifier — scikit-learn 1.8.0 docume...

    Gallery examples: Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression Multiclass sparse logistic regression on 20newgroups Multilabel classification Precision-Recall Multiclass R...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
      18.7K bytes
      Cache
     
  6. GaussianMixture — scikit-learn 1.8.0 documentation

    Gallery examples: Comparing different clustering algorithms on toy datasets Demonstration of k-means assumptions Gaussian Mixture Model Ellipsoids GMM covariances GMM Initialization Methods Density...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
    Mon Mar 23 20:39:21 UTC 2026
      18.7K bytes
      Cache
     
  7. StratifiedGroupKFold — scikit-learn 1.8.0 docum...

    Gallery examples: Visualizing cross-validation behavior in scikit-learn
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html
    Mon Mar 23 20:39:20 UTC 2026
      16.5K bytes
      Cache
     
  8. adjusted_mutual_info_score — scikit-learn 1.8.0...

    Gallery examples: Adjustment for chance in clustering performance evaluation Demo of affinity propagation clustering algorithm Demo of DBSCAN clustering algorithm A demo of K-Means clustering on th...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html
    Mon Mar 23 20:39:23 UTC 2026
      15.2K bytes
      Cache
     
  9. haversine_distances — scikit-learn 1.8.0 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version haversine_distances # sklearn.metrics.pairwise. haver...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html
    Mon Mar 23 20:39:20 UTC 2026
      13.5K bytes
      Cache
     
  10. label_ranking_loss — scikit-learn 1.8.0 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version label_ranking_loss # sklearn.metrics. label_ranking_l...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html
    Mon Mar 23 20:39:23 UTC 2026
      13.6K bytes
      Cache
     
Back to Top