elaborate and explain these results Kernel: linear Best Hyperparameters: {'C': 100} Accuracy: 0.998 Classification Report: precision recall f1-score support stable 0.99 1.00 1.00 693 unstable 1.00 1.00 1.00 1307 accuracy 1.00 2000 macro avg 1.00 1.00 1.00 2000 weighted avg 1.00 1.00 1.00 2000 Kernel: poly Best Hyperparameters: {'C': 100, 'coef0': 1, 'degree': 2} Accuracy: 0.995 Classification Report: precision recall f1-score support stable 0.99 1.00 0.99 693 unstable 1.00 0.99 1.00 1307 accuracy 0.99 2000 macro avg 0.99 1.00 0.99 2000 weighted avg 1.00 0.99 1.00 2000 Kernel: rbf Best Hyperparameters: {'C': 100, 'gamma': 0.001} Accuracy: 0.9955 Classification Report: precision recall f1-score support stable 0.99 0.99 0.99 693 unstable 1.00 1.00 1.00 1307 accuracy 1.00 2000 macro avg 0.99 1.00 1.00 2000 weighted avg 1.00 1.00 1.00 2000