code: def plot_y_pred(self) -> None:
      for group_name in self.bias_metrics_results.columns:
          if group_name == "female":
              continue
          group = self.p_groups[group_name]
          others = get_p_others(
              self.p_groups, group_name, self.privileged_race
          )
          group_title, others_title = self.get_titles(group_name)
          if self.y_pred is not None:
              plt.title(
                  "y_pred distribution by {group_title}/{others_title} classes".format(
                      group_title=group_title, others_title=others_title
                  )
              )
              pos_pred_group_size = (
                  (self.y_pred == 1).multiply(group).sum()
              )
              pos_pred_others_size = (
                  (self.y_pred == 1).multiply(others).sum()
              )
              neg_pred_group_size = (
                  (self.y_pred == 0).multiply(group).sum()
              )
              neg_pred_others_size = (
                  (self.y_pred == 0).multiply(others).sum()
              )
              plt.bar(
                  x=[0, 1],
                  height=[
                      neg_pred_group_size / group.sum(),
                      pos_pred_group_size / group.sum(),
                  ],
                  label=group_title,
                  alpha=0.5,
                  width=0.1,
              )
              plt.bar(
                  x=[0, 1],
                  height=[
                      neg_pred_others_size / others.sum(),
                      pos_pred_others_size / others.sum(),
                  ],
                  label=others_title,
                  alpha=0.5,
                  width=0.1,
              )
              plt.legend()
              plt.xlabel("y_pred")
              plt.ylabel("density")
              plt.show()
  
file_path: bias-detector/bias_detector/BiasReport.py
imports: import pandas
  import numpy
  from matplotlib import pyplot
  from bias_detector.BiasConfidence import BiasConfidence
  from bias_detector.BiasMetric import get_bias_metric_description, get_bias_metric, get_bias_metric_short_description
  from bias_detector.common import get_p_others, get_other_groups_names, races
label_desc: Use image node_id 3 for calling the BiasReport obj's underlying member method code with example usage: obj.plot_y_pred() without return types