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In this system, some data sampling techniques are first used to generate different training subsets from the original datasets.
We show both the correlations calculated from the original datasets and the mean of correlations calculated using the bootstrapping method.
It appeared that the correlation calculated from the original datasets for the year 2012 was above the calculated 95% confidence interval, which was anticipated to be due to pure chance, but it also shows how the original correlation would not probably be a reliable estimator of the true correlation.
From the original datasets, we built complete datasets without MVs.
We consider all complete genes and eliminate genes that have missing entries from the original datasets.
First, we removed genes with one or more missing values from the original datasets to generate complete data matrices.
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A reasonable way of alleviating this problem is to extract a small representative subset from the original dataset without reducing the classification accuracy.
In FSVD-H-ELM, instead of identifying the SVD hidden nodes directly from the entire dataset, SVD hidden nodes are derived from multiple random subsets of data sampled from the original dataset.
Each column reports the results from the original dataset and the balanced dataset.
2; Selected dataset that exclude 4 fake M7 earthquakes from the original dataset in Table 1.
A second scenario used the parameters from the original dataset, thus different covariances in each group.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com