There isn't any possibility to understand how good the model works for a particular site. So, we need a command (mix task) which will measure the accuracy of the prediction.
80% of the loaded sessions should be used for training the model and 20% for validating (the model mustn't access them).
There isn't any possibility to understand how good the model works for a particular site. So, we need a command (mix task) which will measure the accuracy of the prediction.
80% of the loaded sessions should be used for training the model and 20% for validating (the model mustn't access them).
RMSE might be used for measuring errors.