class_docstr: Phishing websites.
  
  This dataset contains features from web pages that are classified as phishing or not.
  
  References
  ----------
  [^1]: [UCI page](http://archive.ics.uci.edu/ml/datasets/Website+Phishing)
code: def __iter__(self):
      return stream.iter_csv(
          self.path,
          target="is_phishing",
          converters={
              "empty_server_form_handler": float,
              "popup_window": float,
              "https": float,
              "request_from_other_domain": float,
              "anchor_from_other_domain": float,
              "is_popular": float,
              "long_url": float,
              "age_of_domain": int,
              "ip_in_url": int,
              "is_phishing": lambda x: x == "1",
          },
      )
  
imports: from __future__ import annotations
  from river import stream
  from .None import base
label_desc: Use image node_id 2 for calling the Phishing obj's underlying member method code with example usage: obj.__iter__() and returns: stream