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Advanced operations
Analysis
e Select an Evaluation metric type. The possible values are Validation Accuracy
and Train Accuracy.
f Click Next.
Figure 178 Backward Elimination Parameters page (Find Minimal Entities (Step 4 of
10))
6. Select and enter the
genetic algorithm
parameters in Find
Minimal Entities (Step 5 of
10).
If you selected the Genetic Algorithm in the Choose Selection Algorithm page (Find
Minimal Entities (Step 2 of 10)), then this step is where you specify the algorithm
parameters. More information about this algorithm may be reviewed in the Genetic
Algorithm Parameters section of the Mass Profiler Professional User Manual.
a Type the Population size. The default is 25.
b Type the Number of generations. The default is 10.
c Type the Mutation rate. The default is 1.
d Type the Target size (max) for features. You must enter the target size of the features. By default the value shown is one tenth of the total entities. This value
must equal the number of features you select in “Choose your features in Find
Minimal Entities (Step 7 of 10).” on page 177.
e Select a Fitness metric. The possible values are Overall Accuracy and Min.
Class Accuracy.
f Type the Target fitness value. The default value is 100.
g Select an Evaluation algorithm. Select one of the evaluation algorithms to build a
class. The possible values are Naive Bayes, Neural Network, Support Vector
Machines, and Axis Parallel Decision Tree. See section 6.5 Class Prediction in
the Mass Profiler Professional User Manual for more information about these
classification algorithms.
h Select the Fitness metric type. The possible values are Validation Accuracy and
Train Accuracy.
i Click Next.
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