title: My mae function is different than sklearn's by a factor of 10^-16. Why?
body: <pre><code>def mae(y_true, y_pred):
  
     return np.mean(abs(np.subtract(y_true, y_pred)))
  
  my_mae_score = mae(y_train, y_pred)[0]   
  </code></pre>
  <p>#had to do the [0] bc Series type, 1 datum point...np.float64</p>
  <p>=0.1946780524972755443968708</p>
  <pre><code>sklearn_mae = mean_absolute_error(y_train, y_pred)
  </code></pre>
  <p>=0.1946780524972751835743878</p>