Consider two models trained on the same dataset with labels r = [0, 0, 1, 1]. Model 1 predicts probabilities p1 = [0.2, 0.3, 0.6, 0.9], while Model 2 predicts p2 = [0.3, 0.1, 0.8, 0.95]. Based on the likelihood of the observed labels, which model performs better? Model 1 Model 2 Both models are equally good Cannot be determined from the given in