This selection displays a successfully built attribute importance model. Attribute importance ranks attributes according the influence that the attribute has in making predictions.
The model viewer has the following tabs:
This tab displays the Type of the model (Attribute Importance), the Algorithm used to build the model (Minimum Description Length), and the Target Attribute name.
The attributes are displayed in the Attributes grid; the following information is displayed for each attribute:
To save the attributes information as a text file, click the Save As icon (a yellow arrow above a graphic of a page) above the Attributes grid.
To see the ranking, click the Ranking tab.
The attributes are initially sorted by rank (descending importance); attributes with rank 1 are the most important.
The upper part of the Ranking tab displays a Histogram. For each attribute, the importance is graphed.
To save the histogram to a file, click the Save As icon (a yellow arrow above a graphic of a page) above the Histogram grid.
If you do not wish to display the Histogram, click the upward pointing triangle just below the Histogram.
In the lower part of the Ranking tab, the following information is displayed in the Ranks grid: Name of attribute, Rank and Importance. In general, importance can be less than 0; you can sort importance in two ways: as positive and negative numbers (the default) or by absolute value. To sort by absolute value, click the check box Sort importance based on absolute value.
If you do not wish to display the Ranks, click the downward pointing triangle just above the Ranks.
To sort the attributes by Name, Rank, or Importance, click the appropriate column heading. When you sort the attributes, the histogram is redrawn to reflect the sorting.
To save the ranks to a file, click the Save As icon (a yellow arrow above a graphic of a page) above the Ranks grid.
This tab describes the task used to build the model. It shows when the task ran and what input data was used.
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