Data Science

Prediction Motivation

Question 1
Marks : +2 | -2
Pass Ratio : 33%
Point out the wrong statement.
In Sample Error is also called generalization error
Out of Sample Error is the error rate you get on the new dataset
In Sample Error is also called resubstitution error
All of the mentioned
Explanation:
Out of Sample Error is also called generalization error.
Question 2
Marks : +2 | -2
Pass Ratio : 33%
Point out the correct statement.
In Sample Error is the error rate you get on the same dataset used to model a predictor
Data have two parts-signal and noise
The goal of predictor is to find signal
None of the mentioned
Explanation:
Perfect in sample prediction can be built.
Question 3
Marks : +2 | -2
Pass Ratio : 33%
Which of the following is characteristic of best machine learning method?
Fast
Accuracy
Scalable
All of the mentioned
Explanation:
There is always a trade-off in prediction accuracy.
Question 4
Marks : +2 | -2
Pass Ratio : 33%
Which of the following trade-off occurs during prediction?
Speed vs Accuracy
Simplicity vs Accuracy
Scalability vs Accuracy
None of the mentioned
Explanation:
Interpretability also matters during prediction.
Question 5
Marks : +2 | -2
Pass Ratio : 33%
Which of the following expression is true?
In sample error < out sample error
In sample error > out sample error
In sample error = out sample error
All of the mentioned
Explanation:
Out of sample error is given more importance.
Question 6
Marks : +2 | -2
Pass Ratio : 33%
Which of the following is the valid component of the predictor?
data
question
algorithm
all of the mentioned
Explanation:
A prediction is a statement about the future.
Question 7
Marks : +2 | -2
Pass Ratio : 33%
Which of the following is correct order of working?
questions->input data ->algorithms
questions->evaluation ->algorithms
evaluation->input data ->algorithms
all of the mentioned
Explanation:
Evaluation is done in the last.
Question 8
Marks : +2 | -2
Pass Ratio : 33%
Backtesting is a key component of effective trading-system development.
True
False
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.
Question 9
Marks : +2 | -2
Pass Ratio : 33%
Which of the following shows correct relative order of importance?
question->features->data->algorithms
question->data->features->algorithms
algorithms->data->features->question
none of the mentioned
Explanation:
Garbage in should be equal to garbage out.
Question 10
Marks : +2 | -2
Pass Ratio : 33%
True positive means correctly rejected.
True
False
Explanation:
True positive means correctly identified.