Arc Confidence measures the confidence/robustness/variability of the machine learned arcs.
One of the three resampling methods is used for generating data sets that are thus utilized for learning networks .
The frequencies of the arcs are computed and the structures are compared with the current network
If the associated data set Learning and Test sets, and respectively, the observations contained in are excluded from this analysis!
is split into
New Feature: Bootstrap
As of version 7.0, Bootstrap is now available for generating the data sets.
Here is the 2D-Mapping that highlights the strength of the relationships.
Below is the Relationship Analysis Report that allows getting the p-values of these relationships.
Given that we have 94 observations, Jackknife cannot generate more than 94 data sets. We chose for this method and for Bootstrap and Data Perturbation.
For each method, we extract the network with the following criteria:
We also display:
- The Synthesis Structure. It graphically summarizes all the structures that have been induced. The thickness of the link is proportional to its frequency. Furthermore, the links in blue are those that are not in the current network ,
- An extract of the Analysis Report to get the frequencies of the arcs of .