Create Lift Chart
Synopsis
This operator generates a lift chart for the given model and ExampleSet based on the discretized confidences and a Pareto chart.
Description
产生升力图符创建一个lift chart based on a Pareto plot for the discretized confidence values of the given ExampleSet and model. The model is applied on the ExampleSet and a lift chart is produced afterwards. Please note that any predicted label of the given ExampleSet will be removed during the application of this operator. In order to produce reliable results, this operator must be applied on data that has not been used to build the model, otherwise the resulting plot will be too optimistic.
The lift chart measures the effectiveness of models by calculating the ratio between the result obtained with a model and the result obtained without a model. The result obtained without a model is based on randomly selected records.
Input
example set
This input port expects an ExampleSet. It is the output of the Generate Direct Mailing Data operator in the attached Example Process. The output of other operators can also be used as input.
model
This input port expects a model. It is the output of the Naive Bayes operator in the attached Example Process. The output of other operators can also be used as input.
Output
example set
The ExampleSet that was given as input is passed without changing to the output through this port. This is usually used to reuse the same ExampleSet in further operators or to view the ExampleSet in the Results Workspace.
model
The model that was given as input is passed without changing to the output through this port. This is usually used to reuse the same model in further operators or to view the model in the Results Workspace.
lift pareto chart
For the given model and ExampleSet a lift chart is generated based on the discretized confidences and a Pareto chart. This lift chart is delivered through this port.
Parameters
Target class
This parameter indicates the target class for which the lift chart should be produced.
Binning type
This parameter indicates the binning type of the confidences.
Number of bins
This parameter specifies the number of bins the confidence should be discretized into. This parameter is only available when thebinning typeparameter is set to 'simple' or 'frequency'.
Size of bins
This parameter specifies the number of examples that each bin should contain when the confidence is discretized. This parameter is only available when thebinning typeparameter is set to 'absolute'.
Automatic number of digits
This parameter indicates if the number of digits should be automatically determined for the range names.
Number of digits
This parameter specifies the minimum number of digits to be used for the interval names. If this parameter is set to -1 then the minimal number is determined automatically. This parameter is only available when theautomatic number of digitsparameter is set to false.
Show bar labels
This parameter indicates if the bars should display the size of the bin together with the amount of the target class in the corresponding bin.
Show cumulative labels
This parameter indicates if the cumulative line plot should display the cumulative sizes of the bins together with the cumulative amount of the target class in the corresponding bins.
Rotate labels
This parameter indicates if the labels of the bins should be rotated.