Action Details (automated data preparation)

Displayed when you select any underlined Action in the Action Summary main view, the Action Details linked view displays both action-specific and common information for each processing step that was carried out; the action-specific details are displayed first.

For each action, the description is used as the title at the top of the linked view. The action-specific details are displayed below the title, and may include details of the number of derived predictors, fields recast, target transformations, categories merged or reordered, and predictors constructed or excluded.

As each action is processed, the number of predictors used in the processing may change, for example as predictors are excluded or merged.

Note: If an action was turned off, or no target was specified, an error message is displayed in place of the action details when the action is clicked in the Action Summary main view.

There are nine possible actions; however, not all are necessarily active for every analysis.

Text Fields table

The table displays the number of:

  • Trailing blank values trimmed.
  • Predictors excluded from analysis.

Date and Time Predictors table

The table displays the number of:

  • Durations derived from date and time predictors.
  • Date and time elements.
  • Derived date and time predictors, in total.

The reference date or time is displayed as a footnote if any date durations were calculated.

Predictor Screening table

The table displays the number of the following predictors excluded from processing:

  • Constants.
  • Predictors with too many missing values.
  • Predictors with too many cases in a single category.
  • Nominal fields (sets) with too many categories.
  • Predictors screened out, in total.

Check Measurement Level table

The table displays the numbers of fields recast, broken down into the following:

  • Ordinal fields (ordered sets) recast as continuous fields.
  • Continuous fields recast as ordinal fields.
  • Total number recast.

If no input fields (target or predictors) were continuous or ordinal, this is shown as a footnote.

Outliers table

The table displays counts of how any outliers were handled.

  • Either the number of continuous fields for which outliers were found and trimmed, or the number of continuous fields for which outliers were found and set to missing, depending on your settings in the Prepare Inputs & Target panel on the Settings tab.
  • The number of continuous fields excluded because they were constant, after outlier handling.

One footnote shows the outlier cutoff value; while another footnote is shown if no input fields (target or predictors) were continuous.

Missing Values table

The table displays the numbers of fields that had missing values replaced, broken down into:

  • Target. This row is not shown if no target is specified.
  • Predictors. This is further broken down into the number of nominal (set), ordinal (ordered set), and continuous.
  • The total number of missing values replaced.

Target table

The table displays whether the target was transformed, shown as:

  • Box-Cox transformation to normality. This is further broken down into columns that show the specified criteria (mean and standard deviation) and Lambda.
  • Target categories reordered to improve stability.

Categorical Predictors table

The table displays the number of categorical predictors:

  • Whose categories were reordered from lowest to highest to improve stability.
  • Whose categories were merged to maximize association with the target.
  • Whose categories were merged to handle sparse categories.
  • Excluded due to low association with the target.
  • Excluded because they were constant after merging.

A footnote is shown if there were no categorical predictors.

Continuous Predictors table

There are two tables. The first displays one of the following number of transformations:

  • Predictor values transformed to standard units. In addition, this shows the number of predictors transformed, the specified mean, and the standard deviation.
  • Predictor values mapped to a common range. In addition, this shows the number of predictors transformed using a min-max transformation, as well as the specified minimum and maximum values.
  • Predictor values binned and the number of predictors binned.

The second table displays the predictor space construction details, shown as the number of predictors:

  • Constructed.
  • Excluded due to a low association with the target.
  • Excluded because they were constant after binning.
  • Excluded because they were constant after construction.

A footnote is shown if no continuous predictors were input.