new_contents: #!/usr/bin/env python3
  # -*- coding: utf-8 -*-
  """
  Usage: analyze_results.py <result_data>
  """
  
  from docopt import docopt
  import pandas as pd
  import numpy as np
  from sklearn.metrics import mean_squared_error
  from sklearn.metrics import r2_score
  
  # Useful way to run the algorithm over multiple files
  #
  # for file in `ls ~/Desktop/complete_results/*/*/*/*.csv | grep prediction.csv | sort`; do ./analyze_results.py $file; done;
  #
  
  if __name__ == "__main__":
  
  	arguments = docopt(__doc__)
  	file_path = arguments["<result_data>"]
  
  	results = pd.read_csv(file_path)
  
  	# Calculate some metrics
  	mse = mean_squared_error(results["incidence"].fillna(0), results["prediction"])
  	r2 = r2_score(results["incidence"].fillna(0), results["prediction"])
  	pcc = np.corrcoef(results["incidence"].fillna(0), results["prediction"], rowvar=False)[0][1]
  
  	print(file_path +","+ str(mse)+ "," +str(r2)+","+ str(pcc))
  
  
subject: Add simple script to print some metrics.