Data Science and Big Data Analytics

You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85.

What is your evaluation of this model?

In R, functions like plot() and hist() are known as what?

You have scored your Nae Bayesian Classifier model on "hold out" test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.

What are the Precision and Recall rates of the model?

To ensure a successful analytic project, which key role can provide business domain expertise with a deep understanding of the data and key performance indicators?

Which word or phrase completes the statement? Mahout is to Hadoop as MADlib is to ____________ .

You are performing a market basket analysis using the Apriori algorithm.

Which measure is a ratio describing the how many more times two items are present together than would be expected if those two items are statistically independent?

Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.

You are using MADlib for Linear Regression analysis. Which value does the statement return?

SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;

A data scientist is asked to implement an article recommendation feature for an on-line magazine. The magazine does not want to use client tracking technologies such as cookies or reading history. Therefore, only the style and subject matter of the current article is available for making recommendations. All of the magazine's articles are stored in a database in a format suitable for analytics.

Which method should the data scientist try first?

In linear regression modeling, which action can be taken to improve the linearity of the relationship between the dependent and independent variables?