make_multilabel_classification的教学举例

最新推荐文章于 2025-07-07 19:18:00 发布

Marina-ju

最新推荐文章于 2025-07-07 19:18:00 发布

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分类专栏：学习笔记

本文链接：https://blog.youkuaiyun.com/weixin_43055882/article/details/85321902

本文展示了如何使用sklearn.datasets的make_multilabel_classification生成随机的多标签数据集。通过设定不同参数，例如样本数、特征数、类别数和标签数，可以观察到数据集的变化。示例中比较了n_labels为1和3时的数据分布情况，展示了不同标签数量对数据集的影响。

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Plot randomly generated multilabel dataset

This illustrates the datasets.make_multilabel_classification dataset
generator. Each sample consists of counts of two features (up to 50 in
total), which are differently distributed in each of two classes.

Points are labeled as follows, where Y means the class is present:

=====  =====  =====  ======
  1      2      3    Color
=====  =====  =====  ======
  Y      N      N    Red
  N      Y      N    Blue
  N      N      Y    Yellow
  Y      Y      N    Purple
  Y      N      Y    Orange
  Y      Y      N    Green
  Y      Y      Y    Brown
=====  =====  =====  ======

A star marks the expected sample for each class; its size reflects the
probability of selecting that class label.

The left and right examples highlight the n_labels parameter:
more of the sampl