title: STD and MAE when cross validating
body: <p>I´m using PyCaret to train a model that will predict the temperature in a device. The idea is that, if the real temperature is higher than the predicted temperature, it should send an alarm to check if everything is working properly in the device.</p>
  <p>The model I trained is working well, however I want to set some limits so the alarm do not activate when there is a small difference between the real and the predicted. I want to set the limits as 1 std difference (yellow alarm) and 2 std difference (red alarm).</p>
  <p>Is there any way that I can get the STD along with the MAE of each Cross Validation in PyCaret or SKlearn? This way I don´t have to code the Cross Validation myself.</p>
  <p>Thank you for all your help.</p>