### Question:
DecisionForest implements TreeBasedClassifier { @Override public Prediction predict(Example test) { return WeightedPrediction.voteOnFeature( Arrays.stream(trees).map(tree -> tree.predict(test)).collect(Collectors.toList()), weights); } DecisionForest(DecisionTree[] trees, double[] weights, double[] featureImportances); DecisionTree[] getTrees(); double[] getWeights(); double[] getFeatureImportances(); @Override Prediction predict(Example test); @Override void update(Example train); @Override String toString();  }### Answer:
@Test public void testPredict() { DecisionForest forest = buildTestForest(); NumericPrediction prediction = (NumericPrediction) forest.predict(new Example(null, NumericFeature.forValue(0.5))); assertEquals(1.0, prediction.getPrediction()); }