code: def make_table(metrics, model_name):
      columns = ["metric_name", "metric_value", "model_name"]
      table_content = [
          [name, value, model_name] for name, value in metrics.items()
      ]
  
      table = wandb.Table(columns=columns, data=table_content)
  
      return table
  
imports: from warnings import simplefilter
  import numpy
  import sklearn
  import wandb
  from wandb.sklearn import utils
label_desc: Use image node_id 2 for calling a global function with example usage: make_table(metrics, model_name) and returns: table