Daily Quiz (24.12.20)

What are the properties of building a dateset?

• Data-set fits the problem

• Data-set has to be in tabular form.

• Data-set should be complete

• Data-set should have more rows than columns.

• Annotation facility and user experience of data-set over time

If the data is not evenly distributed between different categories, then which bias will occur?

• Recall bias

• Confirmation bias

• Sampling bias

• Selection bias

Is Accuracy the prime factor for classification of fradulant credit card transaction problem?

• Yes

• No

Data size is more important in Machine Learning than Deep Learning.

• True

• False

In spam detection which metric is the most important factor?

• Precision

• Recall

• Accuracy

In cancer patient classification which metric is the most important?

• Precision

• Recall

• Accuracy

In Facial Recognition problem which metrics are most important?

• Precision

• Recall

• Accuracy

• All of them

In classification problem when both true positive and true negative are important, then which metric will be best for measurement of that problem?

• Precision

• Recall

• F1-measure

• Accuracy

If San Francesco parking sign dataset is expanded into London, do the dataset need to be trained by new dataset of London?

• Yes

• No

Which two kinds of examples should you include in your instructions for any data annotation? (Check two answers.)

• The most common types of data annotations

• At least one example for each possible data annotation

• Ambiguous or "tricky" annotation cases

• Examples of wrongly-labeled data