code: def insight_3(self, df):
      top_positive_variables = []
      average_shap_values_positive = []
  
      df_numpy = df.to_numpy()
  
      for i in range(3):
          top_positive_variables.append(df_numpy[-1 * (i + 1)][0])
          average_shap_values_positive.append(df_numpy[-1 * (i + 1)][1])
  
      sentences = []
  
      sentences.append(
          "Please explore the PDP graph to identify how different values of "
          + top_positive_variables[0]
          + ", "
          + top_positive_variables[1]
          + ", and "
          + top_positive_variables[2]
          + " "
          + " affect the model decision."
      )
  
      return sentences
  
file_path: explainx/lib/insight_regression.py
imports: from imports import *
label_desc: Use image node_id 5 for calling the insight_regression obj's underlying member method code with example usage: obj.insight_3(df) and returns: sentences