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- 2.3. Clustering
...e are three samples whose true cluster is “b”. Of them, none is in predicted cluster 0, one is in 1 and two are in 2. A confusion matrix for classification is a square contingency matrix where the order of rows and columns correspond to a l...
- 3.4. Metrics and scoring: quantifying the quality of predictions
...functions which measure different aspects of such a decision, most of them are covered with or derived from the metrics.confusion_matrix. List of strictly consistent scoring functions: Here, we list some of the most relevant statistical fun...
- Confusion matrix
...Examples Model Selection Confusion matrix...
- sklearn.metrics.cluster.pair_confusion_matrix (Python function, in pair_confusion_matrix)
- sklearn.metrics.confusion_matrix (Python function, in confusion_matrix)
- sklearn.metrics.ConfusionMatrixDisplay (Python class, in ConfusionMatrixDisplay)
- sklearn.metrics.multilabel_confusion_matrix (Python function, in multilabel_confusion_matrix)
- confusion_matrix
...API Reference sklearn.metrics confusion_matrix...
- 3.4. Metrics and scoring: quantifying the quality of predictions > Confusion matrix
3.4.4.6. Confusion matrix The confusion_matrix function evaluates classification accuracy by computing the confusion matrix with each row corresponding to the true class (Wikipedia and other references may use different convention for axes...
- API Reference
...cohen_kappa_score Compute Cohen’s kappa: a statistic that measures inter-annotator agreement. sklearn.metrics confusion_matrix Compute confusion matrix to evaluate the accuracy of a classification. sklearn.metrics d2_log_los...
- Classification of text documents using sparse features
...a and once after stripping the metadata. For both cases we will analyze the classification errors on a test set using a confusion matrix and inspect the coefficients that define the classification function of the trained models. Model with...
- classification_report
- Computation times
- config_context
- ConfusionMatrixDisplay
...API Reference sklearn.metrics ConfusionMatrixDisplay...
- DecisionBoundaryDisplay
- Examples
- f1_score
- fbeta_score
- Glossary of Common Terms and API Elements
- jaccard_score
- Label Propagation digits active learning
- Label Propagation digits: Demonstrating performance
- Lasso
- load_iris
- Model Selection
- Multiclass Receiver Operating Characteristic (ROC)
- multilabel_confusion_matrix
- Older Versions
- pair_confusion_matrix
- Post-tuning the decision threshold for cost-sensitive learning
- precision_score
- recall_score
- Recognizing hand-written digits
- set_config
- sklearn.metrics.ConfusionMatrixDisplay.from_estimator (Python method, in ConfusionMatrixDisplay)
- sklearn.metrics.ConfusionMatrixDisplay.from_predictions (Python method, in ConfusionMatrixDisplay)
- sklearn.metrics.ConfusionMatrixDisplay.plot (Python method, in ConfusionMatrixDisplay)