BIDA 630 Data Analytics Study Guide with Complete Solutions
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Course
BIDA 630
Institution
BIDA 630
BIDA 630 Data Analytics Study Guide
with Complete Solutions
Identify whether the task required is supervised or unsupervised learning: Deciding
whether to issue a loan to an applicant based on demographic and financial data (with
reference to a database of similar data on prior customers).
- S...
Overfitting occurs when the model captures not only the generalizeable pattern in the
data, but also the error. When we split the data into training and validation sets, we
assume that the same pattern (if there is a pattern) exists in both, and that they differ
only in the error that they contain. An absurd and false model may fit perfectly (on
training data set) if the model has enough complexity. Therefore, we may get zero error
for such a model using the training dataset. Such a model, however, is not likely to give
useful results on the validation data set.
Bar charts are useful for comparing a single statistic (e.g. average, count, percentage)
across groups. The height of the bar represents the value of statistic, and different bars
correspond to different groups.
- True
- False - Answer✔✔-True
Which of the following are the most popular visualization tools in JMP_Pro? (3 correct
answers)
- Distribution
- Fit Y by X
- Graph Builder
- Data visualizer
3/18
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