code: def __init__(self, y_test, y_pred):
      super(performance_metrics, self).__init__()
      self.param = None
      self.y_test = y_test
      self.y_pred = y_pred
  
imports: import pandas
  import numpy
  import sklearn
  from sklearn import *
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import label_binarize
  from sklearn.metrics import *
  from itertools import cycle
  import colorlover
  import plotly.figure_factory
  import plotly.graph_objects
label_desc: Use image node_id 1 to create a new performance_metrics object  with example: obj = performance_metrics(y_test, y_pred)