code: def convert_to_bin(
      Ycont: List, nval: int, verbose: bool = True
  ) -> List:
      # Convert numeric vector to binary (typically classification target values)
      if verbose:
          pass
      Ybin = [[0] * nval for _ in range(len(Ycont))]
      for i in range(len(Ybin)):
          line = Ybin[i]
          line[int(Ycont[i])] = 1
          Ybin[i] = line
      return Ybin
  
imports: from typing import Any, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple, Type, Union, cast
  import warnings
  import numpy
  import pandas
  from scipy.sparse import spmatrix
  from sklearn.model_selection import train_test_split
  from autosklearn.evaluation.splitter import CustomStratifiedShuffleSplit
label_desc: Use image node_id 5 for calling a global function with example usage: convert_to_bin(Ycont, nval, verbose) and returns: Ybin