code: def formatting_h2o_prediction_prob(self, final_df, h2o_pred):
      for c in h2o_pred.columns:
          final_df["Probability_" + str(c)] = list(h2o_pred[c])
          if c != "predict":
              if "p" in c:
                  res = c.split("p")[-1]
                  final_df["Probability_" + str(res)] = list(
                      h2o_pred[c]
                  )
              else:
                  final_df["Probability_" + str(c)] = list(h2o_pred[c])
          else:
              final_df["Probability_" + str(c)] = list(h2o_pred[c])
      return final_df
  
imports: from imports import *
  from plotly_graphs import *
  from protodash import *
  from insights import *
  from plotly_css import *
  import pandasql
  import string
  import random
  import os
  from apps import global_explanation, local_explanation, distribution, feature_interaction, cohort
  from app import app
  from what_if import *
  from calculate_shap import *
  from analytics import Analytics
  from cohort_analysis import *
label_desc: Use image node_id 16 for calling the dashboard obj's underlying member method code with example usage: obj.formatting_h2o_prediction_prob(final_df, h2o_pred) and returns: final_df