1.Replace the uppercase letters with corresponding values:

While training our model, we are using ‘X’ set to tweak our model and ‘Y’ model to confirm predicted results.

2.Which of the following’s equation may be like shown below

3.By investigating equation below, which of the followings can be interpreted?

4.Mean Squared Error always penalizes the Outlier values more than other values

5.If our model has low variance and high bias, Which of the following may happened?

6.Which of the following can be done for preventing overfitting?

7.Which of the following is not an optimization algorithm?

8.Which of the Regularization Technique penalizes the cost function with the absolute value of the weights?

9.Replace the uppercase letters with corresponding values:

For ‘X’ problems, we are using ‘Y’ regression

10.For classification problems, when should we use Accuracy metric?