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For comparison with previous studies, we also computed test AUCs based on random partitioning of the data into 70% training and 30% test data.
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Generalities based on random observation will get you into trouble.
Based on random sampling.
The construction is based on random techniques.
Significance assessment is based on random permutations.
All based on random effects meta-analysis.
A more reliable but time-consuming way is to compare the methods on random partitions of data.
Restricted Neighborhood Search Clustering (RNSC) algorithm [ 9] is another kind of clustering algorithm based on graph partitioning, which starts with a random partition of a network and iteratively moves the nodes on the border of a cluster into the adjacent cluster to search for a better clustering result with the minimum cost.
The score was based on a random forest recursive partition supervised learning algorithm.
We recall that this method is based on a partitioning of the parameter space Ω into subsets, so called random elements.
For the combined data sets, we identified model partitions based on partitioning matrices by locus.
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