- IBM SPSS Modeler Cookbook
- Keith McCormick Dean Abbott Meta S. Brown Tom Khabaza Scott R.Mutchler
- 77字
- 2021-07-23 16:01:22
Chapter 1. Data Understanding
In this chapter, we will cover:
- Using an empty aggregate to evaluate sample size
- Evaluating the need to sample from the initial data
- Using CHAID stumps when interviewing an SME
- Using a single cluster K-means as an alternative to anomaly detection
- Using an @NULL multiple Derive to explore missing data
- Creating an Outliers report to give to SMEs
- Detecting potential model instability early using the Partition node and Feature Selection node
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