Statlog（航天飞机）数据集 飞机数据集

Data Set Information: 大约80%的数据属于类别1。因此，默认精度约为80%。这里的目标是获得99-99.9%的准确度。 原始数据集中的示例按时间顺序排列，这个时间顺序可能与分类相关。然而，这与StatLog目的无关，因此原始数据集中示例的顺序是随机的，并且出于验证目的移除了原始数据集中的一部分。 Attribute Information: shuttle数据集包含9个属性，所有属性都是数字属性。第一个是时间。最后一列是已编码如下的类： 1拉德流量 2 Fpv关闭 3 Fpv打开 4高 5旁路 6个基点关闭 7 Bpv开放

Data Set Information: Approximately 80% of the dataset belongs to Class 1. Therefore, the default classification accuracy is approximately 80%. The target here is to achieve an accuracy of 99–99.9%. Samples in the original dataset are ordered chronologically, and this temporal order may be relevant to classification. However, this is irrelevant to the purpose of StatLog, so the order of samples in the original dataset was randomized, and a portion of the original dataset was removed for validation purposes. Attribute Information: The shuttle dataset contains 9 attributes, all of which are numeric. The first attribute is time. The last column is the class label encoded as follows: 1. Rad flow 2. Fpv closed 3. Fpv open 4. High 5. Bypass 6. Base point closed 7. Bpv open

搜集汇总

背景与挑战

背景概述

Statlog（航天飞机）数据集包含9个数字属性，其中80%的数据属于类别1，目标分类准确度为99-99.9%。数据集属性包括时间和类别编码，类别编码代表不同的航天飞机状态。