钻石价格预测

包含两个数据，第一个是根据模型对测试集的预测和真实数据的对比，第二个是钻石数据
钻石数据包含十个指标，分别是克拉重量，刀工，颜色，种类，深度，台面比，长度，宽度，高度和价格
通过不同的回归模型，我们需要对价格进行合理的预测

This dataset comprises two subsets. The first subset contains the comparison between the model's predictions on the test set and the ground-truth data. The second subset is the diamond dataset, which includes ten features: carat weight, cut, color, category, depth, table percentage, length, width, height, and price. The task is to reasonably predict the price using various regression models.