PENGEMBANGAN DECISSION TREE ADAPTIF dengan MEKANISME PRUNING DINAMIS untuk PREDIKSI KELAYAKAN KREDIT

    public static double calculateEntropy(List<String> labels) {

        Map<String, Integer> labelCount = new HashMap<>();

        for (String label : labels) {

            labelCount.put(label, labelCount.getOrDefault(label, 0) + 1);

        }

        double entropy = 0.0;

        int total = labels.size();

        for (int count : labelCount.values()) {

            double probability = (double) count / total;

            entropy -= probability * Math.log(probability) / Math.log(2);

        }