Predictive and Specialized Modeling • Modeling Utilities

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Modeling Utilities
Exploring Data for Outliers, Missing Values, and Strong Predictors
Modeling Utilities is a collection of utilities that are designed to assist in the data cleaning and pre-processing stages of data analysis. Each utility has exploratory tools to give you a more thorough understanding of your data. With Modeling Utilities, you can do the following:
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Explore outliers in both the univariate and multivariate cases.
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Explore and impute missing values in your data.
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Image shown hereCreate a validation column that divides the data into training, validation, and test sets.
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Screen high-dimensional data for strong predictors.
Figure 3.1 Multivariate k-Nearest Neighbor Outlier Example
Multivariate k-Nearest Neighbor Outlier Example
Contents 
Explore Outliers Utility
Example of the Explore Outliers Utility
Launch the Explore Outliers Utility
Quantile Range Outliers
Robust Fit Outliers
Multivariate Robust Outliers
Multivariate k-Nearest Neighbor Outliers
Explore Outliers Utility Options
Additional Examples of the Explore Outliers Utility
Explore Missing Values Utility
Example of the Explore Missing Values Utility
The Missing Value Report
Explore Missing Values Utility Options
Make Validation Column Utility
Example of the Make Validation Column Utility
Launch the Make Validation Column Utility

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Help created on 3/19/2020