Analytics
When implementing a PDT run, various analytics are generated at the end of each generation.
Below we give a brief description of each of the graphs available on the Analytics tab (visible only after a session has been started).
Response Barplot Time Series
The responses for each generation are sorted, and presented one after the other. Standard error bars are given at the top of each colored bar.
Response Barplot by Generation
Detail of the previous graph, giving a separate graph of sorted responses for each generation.
Overlapped Response Barplots
A summary of the data in the previous two graphs, sorted response barplots for each generation overlapping each other, in different colors.
Response Boxplot Time Series
A boxplot representation of the distributions of response values for each generation, presented one after the other.
Response Histogram (All)
The response of all experiments in all generations.
Response Histogram (by Generation)
Response histograms, generation by generation.
Evolution Time Series
For each experimental parameter (i.e., each of the variables specified
in the experimental space definition), the relative representation of
that parameter is represented for each generation. Relative
representation is measured by a percentage, namely the percentage of
experiments for a given generation having a particular parameter at a
particular value.
In the course of evolution, parameter values that have low
representation tend to be those that do not contribute to high
response; those with high representation tend to contribute more.
Regression tree
This plot represents a regression tree trained on the experimental data. Each box plot at the bottom of the tree represents the distribution of
response values for a different subset of experiments. Each subset of experiments is characterized by a different "rule", that is a different
combination of values of the experimental parameters. These rules can be obtained reading node and arc labels from top to bottom.
Experimental parameters and values appearing in the rules of the tree can be considered important for explaining differences in the response values.