A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the Internet. What is the most appropriate model to use? Suppose labeled training data is available.
A. Na.ve Bayesian classifier
B. Linear regression
C. Logistic regression
D. K-means clustering
You are using MADlib for Linear Regression analysis. Which value does the statement return? SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
A. Goodness of fit
B. Coefficients
C. Standard error
D. P-value
Which data asset is an example of quasi-structured data?
A. Webserver log
B. XML data file
C. Database table
D. News article
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