What is Data Science Quiz 3 Answer

What is Data Science

Data Mining

Quiz 3 -- Data Mining

Q1) According to the reading, the output of a data mining exercise largely depends on:

The data scientist

The quality of the data

The scope of the project

The programming language used

Q2) Prior Variable Analysis and Principal Component Analysis are both examples of a data reduction algorithm.

True

False

Q3) After the data are appropriately processed, transformed, and stored, what is a good starting point for data mining?

Machine learning.
Data Visualization.
Non-parametric methods.
Creating a relational database.

Q4) When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.

True

False

Q5) “Formal evaluation could include testing the predictive capabilities of the models on observed data to see how effective and efficient the algorithms have been in reproducing data.” This is known as:

Prototyping.
Overfitting.
In-sample forecast.
Reverse engineering.

Q6) What is an example of a data reduction algorithm?

Cojoint Analysis.
A/B Testing.
Prior Variable Analysis.
Principal Component Analysis.

Q7) After the data are appropriately processed, transformed, and stored, machine learning and non-parametric methods are a good starting point for data mining.

True

False

Q5) In–sample forecast is the process of formally evaluating the predictive capabilities of the models developed using observed data to see how effective the algorithms are in reproducing data.