class_docstr: Tracks binary metrics, such as precision, recall, F1, EER, etc.
      
code: def __init__(self, positive_label=1):
      self.clear()
      self.positive_label = positive_label
  
imports: import torch
  from joblib import Parallel, delayed
  from speechbrain.utils.data_utils import undo_padding
  from speechbrain.utils.edit_distance import wer_summary, wer_details_for_batch
  from speechbrain.dataio.dataio import merge_char, split_word, extract_concepts_values
  from speechbrain.dataio.wer import print_wer_summary, print_alignments
label_desc: Use image node_id 1 to create a new BinaryMetricStats object from inherited base classes: MetricStats with example: obj = BinaryMetricStats(positive_label)