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Contents
- AUC
- Receiver Operating Characteristic curve
| Area under the ROC
- classifier
- creating
- Creating one-class classifiers
- define it yourself
- Note for programmers
- inspecting
- Inspecting one-class classifiers
- trivial
- Note for programmers
- visualizing
- General remarks
- classifiers
- Available classifiers
- combining classifiers
- Combining one-class classifiers
- confidence
- Note for programmers
- cost curve
- Cost curve
- cross-validation
- Cross-validation
- dataset
- inspecting
- Inspecting one-class datasets
- datasets
- Datasets
- creating
- Creating one-class datasets
- dd_auc
- Area under the ROC
- dd_error
- Basic errors
- dd_F1
- Precision and recall
- dd_roc
- Area under the ROC
- density based classifiers
- Combining one-class classifiers
- distance based classifiers
- Combining one-class classifiers
- error
- Error minimization in one-class
| Error computation
- F1
- Precision and recall
- false negative
- Error minimization in one-class
| Creating one-class classifiers
- false positive
- Error minimization in one-class
- gauss_dd
- Creating one-class classifiers
- gendatgrid
- General remarks
- gendatoc
- Creating one-class datasets
- gendatout
- Generating artificial outliers
- help
- General remarks
- isocset
- Inspecting one-class datasets
- kwhiten
- General remarks
- label as outlier
- Creating one-class datasets
- label as target
- Creating one-class datasets
- make_outliers
- Generating artificial outliers
- mog_dd
- Inspecting one-class classifiers
- normalization of classifiers
- Combining one-class classifiers
- oc_set
- Creating one-class datasets
- One-class classification
- What is one-class classification?
- operating point
- Area under the ROC
| Area under the ROC
| Cost curve
- outlier
- generating
- Generating artificial outliers
- outlier class
- What is one-class classification?
- outliers
- Creating one-class classifiers
- output of a classifier
- Note for programmers
- philosophy
- This manual
- plotg
- General remarks
- precision
- Precision and recall
- Prtools
- This manual
- random_dd
- Note for programmers
- recall
- Precision and recall
- relabel
- Inspecting one-class datasets
- ROC curve
- Receiver Operating Characteristic curve
| Area under the ROC
- svdd
- Inspecting one-class classifiers
| Area under the ROC
| General remarks
- target class
- What is one-class classification?
- target_class
- Creating one-class datasets
- threshold
- Creating one-class classifiers
- true negative
- Error minimization in one-class
- true positive
- Error minimization in one-class
David M.J. Tax
2006-07-26