| createPredictionDataset(Map, String) |   | 69% | | 50% | 8 | 11 | 7 | 29 | 0 | 1 |
| predict(String, Map) | | 40% | | 50% | 3 | 4 | 10 | 18 | 0 | 1 |
| normalizeProbabilities(double[], Map) | | 80% | | 70% | 3 | 6 | 3 | 18 | 0 | 1 |
| mapPredictionToLabel(double, Instances) | | 51% | | 50% | 2 | 3 | 4 | 7 | 0 | 1 |
| performPrediction(Object, Map, String) | | 55% | | 50% | 1 | 2 | 1 | 3 | 0 | 1 |
| addInputBasedVariation(double[], Map) | | 94% | | 68% | 7 | 12 | 3 | 25 | 0 | 1 |
| lambda$predict$0(String) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| calculateConfidence(double[], int) | | 96% | | 70% | 3 | 6 | 1 | 10 | 0 | 1 |
| lambda$normalizeProbabilities$1(double, double) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| predictWithWekaModel(Classifier, Map, String) | | 100% | | n/a | 0 | 1 | 0 | 18 | 0 | 1 |
| ModelPredictionEngine(ModelFileManager, ClassValueManager) | | 100% | | n/a | 0 | 1 | 0 | 4 | 0 | 1 |
| lambda$normalizeProbabilities$2(double, double) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| static {...} | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |