Exact(3)
Most real life classification problems, including text classification, genetic classification, medical classification, and others, are complex in nature and are characterized by high dimensionality.
As this study was designed to test how each system performed in a "real life" classification situation, membership of the classification teams was intended to reflect usual procedures at each of the participating sites.
It is reasonable to expect that overfitting will be at least in the same order of magnitude as what is observed on randomly generated data for most of the real life classification tasks, where amino acid composition is used as input.
Similar(5)
In the past two decades, SVMs have shown their effectiveness on many real-life classification problems [ 65].
We find morphological traits to be highly heritable and strongly genetically correlated to life history classification.
Life history classification was decomposed into two binary traits for quantitative genetic analyses: "LHSmolt" and "LHMature".
This model was able to properly assign 87.0% of individuals to their life history classification.
A representative image of each life history classification is provided in Figure 1.
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