Referring to the exhibit, from which node is the output generated and on which data does it show greater accuracy?

Question

Exhibit

Options

• AStatistics, 1_Training
• BStatistics, 2_Testing
• CAnalysis, 1_Training
• DAnalysis, 2_Testing

• A
  16% (5)
• B
  75% (24)
• C
  6% (2)
• D
  3% (1)

Explanation

Option B is correct because the output displayed comes from the Statistics node (not the Analysis node), and within that output, the model's accuracy metric is higher for the 2_Testing partition than for 1_Training - which is the key detail the exhibit highlights.

Why the distractors are wrong:

• A (Statistics, 1_Training): Identifies the node correctly but picks the wrong partition - the exhibit shows lower accuracy on training data in this case.
• C (Analysis, 1_Training): Misidentifies both the node (it's Statistics, not Analysis) and the partition.
• D (Analysis, 2_Testing): Gets the partition right but names the wrong node - the Analysis node serves a different function than the Statistics node.

Memory tip: Associate "Statistics" with raw numerical output tables (counts, percentages, accuracy figures), while "Analysis" nodes in tools like SPSS Modeler are used for model comparison charts. If the exhibit shows a tabular accuracy breakdown by partition, it came from a Statistics node. Then check which row has the higher number - here, Testing wins.

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