Weather

The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some unspecified game. In general, instances in a dataset are characterized by the values of features, or attributes, that measure different aspects of the instance. In this case there are four attributes: outlook, temperature, humidity, and windy. The outcome is whether to play or not.天气问题数据集是一个小型基准数据集，我们将反复借助它来阐释机器学习方法。该数据集完全虚构，据称涉及适用于开展某类未指明游戏的场景条件。一般而言，数据集中的样本由特征或属性的取值所表征，这些特征或属性用于衡量样本的不同维度。本数据集共包含四个属性：天气状况（outlook）、温度（temperature）、湿度（humidity）以及是否有风（windy），其预测目标为是否开展该游戏。