Machine Learning MCQ Questions: Practice and Test Your Knowledge

A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 10 and 30 respectively. What will be the output?

Suppose, you want to apply a stepwise forward selection method for choosing the best models for an ensemble model. Which of the following is the correct order of the steps? Note: You have more than 1000 models predictions.
1. Add the models predictions (or in another term take the average) one by one in the ensemble which improves the metrics in the validation set.
2. Start with empty ensemble
3. Return the ensemble from the nested set of ensembles that has maximum performance on the validation set

Which of the following metrics can be used for evaluating regression models?
1. R Squared
2. Adjusted R Squared
3. F Statistics
4. RMSE / MSE / MAE

What do you mean by generalization error in terms of the SVM?

In order to assess how much information is brought by each component, and the correlation among them, a useful tool is the . . . . . . . .

For a multiple regression model, SST = 200 and SSE = 50. The multiple coefficient of determination is

Which of the following method(s) does not have closed form solution for its coefficients?

Which of the following model model include a backwards elimination feature selection routine?

How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?

During the treatement of cancer patients , the doctor needs to be very careful about which patients need to be given chemotherapy.Which metric should we use in order to decide the patients who should given chemotherapy?