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Neural Network (Mining Model Viewer)

Use the Neural Net viewer to explore mining models that are based on the Microsoft Neural Network algorithm or the Microsoft Logistic Regression algorithm.

For More Information: Microsoft Neural Network Algorithm, Microsoft Logistic Regression Algorithm,Browse a Model Using the Microsoft Neural Network Viewer

Refresh viewer content

Reload the mining model in the viewer.

Mining Model

Choose a mining model to view, from those in the current mining structure. The mining model will open in its associated viewer.

Viewer

Choose a viewer to use to explore the selected mining model. You can use the custom viewer, or the Microsoft Generic Content Tree Viewer. You can also use plug-in viewers if available.

Input

Use this area to choose input attributes and values, so that you can later explore how these affect the outcome.

Value

Description

Attribute

Choose an input attribute from the list. If you leave the selection as the default, <All>, the chart shows a list of all input attributes, ranked by their impact on the predictable attribute.

Value

Choose a value for the input attribute.

Output

Use these controls to choose a predictable attribute and value to analyze and compare in the bar graph. If you do not change the selections, the bar graph compares the top two outcome states.

Value

Description

Output Attribute

Choose a predictable attribute. If you did not define the column as a predictable one when you created the model, you cannot add it here.

Value 1

Choose a state of the predictable attribute to compare to the state that is contained in Value 2.

You can compare any two discrete or discretized values; however, you cannot compare a value to its complement, as you can in other viewers.

Value 2

Select a state of the predictable attribute to compare to the state that is contained in Value 1.

Variables

This part of the Neural Network tab contains an interactive bar graph, which responds to the selections that you made for input and outcome attributes. Because a neural network calculates the likelihood that a particular value influences a particular outcome, you can choose any combination of inputs, and the bar chart will display how that combination affects the pair of outcomes that you are comparing.

Value

Description

Attribute

Shows the name of the input attribute you selected in Attribute.

Value

Shows the value for the selected input attribute.

Favors <Value 1>

Displays a bar that indicates how much this particular attribute-value combination affects the target outcome chosen in Value 1.

Favors <Value 2>

Displays a bar that indicates how much this particular attribute-value combination affects the target outcome chosen in Value 2.

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