MDFT Academy Quizzes

How can you fix this problem?

You are building a regression model to predict the wind speed at any point on earth during any time of the day. You are training your model with Gradient Descent and you notice that every time you run a training, you get different final loss values. Some models are great, some average, and some very poor.

How can you fix this problem?

Choose the correct answer from the options below.

I'm sorry, your answer is not correct.

Increase the 'number of epochs' hyperparameter is incorrect. Number of epochs specifies how long the model is trained. Increasing the training time will not solve the problem.
Decrease the 'number of epochs' hyperparameter is incorrect. Number of epochs specifies how long the model is trained. Descreasing the training time will not solve the problem.
Increase the 'step size' hyperparameter is correct
Decrease the 'step size' hyperparameter is incorrect. Decreasing the step size will not fix the problem. Gradient descent is sometimes getting stuck in false minima on the loss surface because the step size is too small.

2. Regression

How can you fix this problem?