Data Science Multiple Choice Questions on “Prediction Motivation”.
1. Which of the following is the valid component of the predictor?
a) data
b) question
c) algorithm
d) all of the mentioned
Answer: d
Explanation: A prediction is a statement about the future.
2. Point out the wrong statement.
a) In Sample Error is also called generalization error
b) Out of Sample Error is the error rate you get on the new dataset
c) In Sample Error is also called resubstitution error
d) All of the mentioned
Answer: a
Explanation: Out of Sample Error is also called generalization error.
3. Which of the following is correct order of working?
a) questions->input data ->algorithms
b) questions->evaluation ->algorithms
c) evaluation->input data ->algorithms
d) all of the mentioned
Answer: a
Explanation: Evaluation is done in the last.
4. Which of the following shows correct relative order of importance?
a) question->features->data->algorithms
b) question->data->features->algorithms
c) algorithms->data->features->question
d) none of the mentioned
Answer: b
Explanation: Garbage in should be equal to garbage out.
5. Point out the correct statement.
a) In Sample Error is the error rate you get on the same dataset used to model a predictor
b) Data have two parts-signal and noise
c) The goal of predictor is to find signal
d) None of the mentioned
Answer: d
Explanation: Perfect in sample prediction can be built.
6. Which of the following is characteristic of best machine learning method?
a) Fast
b) Accuracy
c) Scalable
d) All of the mentioned
Answer: d
Explanation: There is always a trade-off in prediction accuracy.
7. True positive means correctly rejected.
a) True
b) False
Answer: b
Explanation: True positive means correctly identified.
8. Which of the following trade-off occurs during prediction?
a) Speed vs Accuracy
b) Simplicity vs Accuracy
c) Scalability vs Accuracy
d) None of the mentioned
Answer: d
Explanation: Interpretability also matters during prediction.
9. Which of the following expression is true?
a) In sample error < out sample error
b) In sample error > out sample error
c) In sample error = out sample error
d) All of the mentioned
Answer: a
Explanation: Out of sample error is given more importance.
10. Backtesting is a key component of effective trading-system development.
a) True
b) False
Answer: a
Explanation: Backtesting is the process of applying a trading strategy or analytical method to historical data to see how accurately the strategy or method would have predicted actual results.