Which statement is correct about automated modeling nodes in IBM SPSS Modeler Professional?

Question

Options

• AThe Auto Clustering node generates Neural Net models.
• BThe Auto Classifier node supports Cox regression.
• CThe Auto Numeric node generates Linear models.
• DThe Auto Numeric node supports Bayes Net models.

• A
  6% (2)
• B
  3% (1)
• C
  91% (29)

Explanation

Option C is correct because the Auto Numeric node in IBM SPSS Modeler is designed for continuous target prediction and includes Linear Regression among its supported model types - making "generates Linear models" an accurate statement about its capabilities.

Why the distractors are wrong:

• A is incorrect because the Auto Clustering node generates clustering models (K-Means, TwoStep, Kohonen, etc.) - Neural Net models belong to classification/regression nodes, not clustering.
• B is incorrect because the Auto Classifier node does not support Cox regression; Cox is a survival analysis technique handled separately and is not part of the classifier's automated model set.
• D is incorrect because Bayes Net is a classification algorithm - it belongs to the Auto Classifier node, not Auto Numeric, which focuses on continuous (numeric) targets.

Memory tip: Match the node name to the task type - Classifier → categorical targets (includes Bayes Net), Numeric → continuous targets (includes Linear), Clustering → unsupervised grouping (no Neural Nets). If an answer crosses those boundaries, it's almost certainly wrong.

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