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A client has a business goal of increasing units sold by 10 percent.
Which two data mining objectives would be consistent with their business goal? (Choose two.)
You have a data source which provides many fields needed for data scoring. Some of these fields are not needed after the scoring is complete for the rest of the stream to operate.
Which node should be used to remove these fields?
You have a large amount of data from which you want to build a model. Although many of the records of data are complete, there are substantial amounts of records which contain missing dat
a. The records containing incomplete information should be excluded from analysis.
Which node will exclude the undesired records?
You have optimized four models that do not meet your performance goals. You believe that by mergingthese models together you would achieve better performance.
Which node would allow you to accomplish this task?
Which two statements are true about linear regression? (Choose two.)