final List<Instance<AttributesMap>> instances = Benchmarks.loadDiabetesDataset();
        testWithTrainingSet(instances);
    }
    private void testWithTrainingSet(final List<Instance<AttributesMap>> instances) {
        final PredictiveModelWithDataBuilderFactory predictiveModelBuilderFactory = new PredictiveModelWithDataBuilderFactory(new RandomForestBuilderFactory());
        final ClassifierStationaryCrossValidator crossVal = new ClassifierStationaryCrossValidator(4, 4, new ClassifierLogCVLossFunction());
        PredictiveModelOptimizer predictiveModelOptimizer = new PredictiveModelOptimizer(predictiveModelBuilderFactory, instances, crossVal);
        final Map<String, Object> optimalParameters = predictiveModelOptimizer.determineOptimalConfiguration();
        logger.info("Optimal parameters: " + optimalParameters);
        RandomForestBuilder defaultRFBuilder = new RandomForestBuilder();