class_docstr: Higgs dataset.
  
  The data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22)
  are kinematic properties measured by the particle detectors in the accelerator. The last seven
  features are functions of the first 21 features; these are high-level features derived by
  physicists to help discriminate between the two classes.
  
  References
  ----------
  [^1]: [UCI page](https://archive.ics.uci.edu/ml/datasets/HIGGS)
code: def __init__(self):
      super().__init__(
          n_samples=11_000_000,
          n_features=28,
          task=base.BINARY_CLF,
          url="https://archive.ics.uci.edu/ml/machine-learning-databases/00280/HIGGS.csv.gz",
          size=2_816_407_858,
          unpack=False,
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 1 to create a new Higgs object from inherited base classes: base with example: obj = Higgs()