code: def draw(self):
          
  
          indices = np.arange(len(self.classes_))
          prev = np.zeros(len(self.classes_))
  
          colors = resolve_colors(
              colors=self.colors,
              n_colors=len(self.classes_))
  
          for idx, row in enumerate(self.predictions_):
              self.ax.bar(indices, row, label=self.classes_[idx],
                          bottom=prev, color=colors[idx])
              prev += row
  
          return self.ax
docs: Renders the class prediction error across the axis.