Dictionary<double, List<bool?>>[] scores = new Dictionary<double, List<bool?>>[neuralNetworks.Length];
    for (int i = 0; i < scores.Length; i++)
        scores[i] = new Dictionary<double, List<bool?>>();

    /*
        for (int j = 0; j < neuralNetworks.Length; j++)
        {
            trimmedOutputs[i] = GetOutputScore(scores[i], outputs[i]) >= threshould
                ? outputs[i]
                : 0.0;
        }
    */

    private double GetScore(Dictionary<double, List<bool?>> score, double output)
    {
        double outputKey = Math.Round(output, 1);
        if (!score.ContainsKey(outputKey))
            return 1.0;
        bool[] statistics = score[outputKey].Where(stats => stats != null).Cast<bool>().ToArray();
        if (statistics.Length == 0)
            return 1.0;
        return (double)statistics.Where(stats => stats).Count() / statistics.Length;
    }

    private void AddScore(Dictionary<double, List<bool?>> score, double output, double exactOutput)
    {
        double outputKey = Math.Round(output, 1);
        bool isCorrectOutput = output >= 0.0 && exactOutput >= 0.0
            || output <= 0.0 && exactOutput <= 0.0;
        bool handled = false;

        foreach (double key in score.Keys)
        {
            if (key == outputKey)
            {
                score[key].Insert(0, isCorrectOutput);
                handled = true;
            }
            else
                score[key].Insert(0, null);

            if (score[key].Count > 600)
                score[key] = score[key].Take(600).ToList();
        }

        if (!handled)
        {
            score[outputKey] = new List<bool?>();
            score[outputKey].Insert(0, null);
        }
    }