| configureRandomTreeModel(RandomTree, Map) |  | 0% | | 0% | 12 | 12 | 25 | 25 | 1 | 1 |
| trainModel(String, String, List, Map) |  | 39% | | n/a | 0 | 1 | 13 | 26 | 0 | 1 |
| calculateModelAccuracy(Object, List) | | 0% | | 0% | 4 | 4 | 11 | 11 | 1 | 1 |
| validateClassificationData(List, List) | | 65% | | 51% | 12 | 19 | 11 | 37 | 0 | 1 |
| calculatePrecision(Object, List) | | 0% | | 0% | 4 | 4 | 11 | 11 | 1 | 1 |
| calculateRecall(Object, List) | | 0% | | 0% | 4 | 4 | 11 | 11 | 1 | 1 |
| storeClassValuesForModel(String, List) | | 0% | | 0% | 3 | 3 | 13 | 13 | 1 | 1 |
| checkRequiredFields(List, List) | | 0% | | 0% | 6 | 6 | 8 | 8 | 1 | 1 |
| calculatePerformanceMetrics(Object, List, String) | | 0% | | n/a | 1 | 1 | 10 | 10 | 1 | 1 |
| trainSentimentModel(List, Map) | | 0% | | n/a | 1 | 1 | 9 | 9 | 1 | 1 |
| trainClassificationModel(List, Map) | | 0% | | n/a | 1 | 1 | 9 | 9 | 1 | 1 |
| performModelTraining(String, List, Map) | | 48% | | 25% | 3 | 4 | 3 | 5 | 0 | 1 |
| prepareNumericDataset(List) | | 0% | | n/a | 1 | 1 | 4 | 4 | 1 | 1 |
| validateTrainingDataError(List, String) | | 74% | | 50% | 5 | 7 | 3 | 12 | 0 | 1 |
| createWekaDataset(List) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| lambda$validateClassificationData$0(Object) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getDefaultParameters(String) | | 95% | | 83% | 1 | 4 | 1 | 10 | 0 | 1 |
| checkPreflight(List, String) | | 100% | | 100% | 0 | 5 | 0 | 9 | 0 | 1 |
| ModelTrainingEngine(MLModelProperties, ModelFileManager, ModelTypeClassifier, ClassValueManager) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| getSupportedModelTypes() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| static {...} | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |