|
Class Summary |
| EvaluationParameters |
Contains the evaluation parameters (micro-macro precision, micro-macro
accuracy etc.) of a Multi label Mulan experiment. |
| EvaluatorNoAUC |
Prepares the evaluation measures taking into consideration the dataset size. |
| ExperimentTable |
Gives the names and table field names for multi-label specific evaluation
measures (such as micro-accuracy, macro-accuracy, hamming loss etc.) |
| MulanCrossEvaluator |
Class created to execute cross-evaluations and extract individual evaluation
results (not possible from the Mulan class Evaluator, because only averaged
results are returned). |
| MulanCrossExperimenter |
Using Mulan (multi-label machine learning), this class initialises and
executes either Train-Test evaluation (if two different arff records are
given) (calling MulanTrainTestEvaluator) or cross-evaluations (calling
MulanCrossEvaluator) if only one arff record is given. |
| MulanLearner |
Containing a Mulan learner and its name, that is: the name of the
MultiLabelLearnerBase plus the name of the algorithm within |
| MulanLearners |
Class |
| MulanSerializer |
Takes an arff file and an algorithm. |
| ResultsFormatter |
Class |
| ResultsSaver |
Outputs cross-evaluation results to screen, file and database. |