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To unveil the variable effects, the mean importance value (MIV) method has been employed, which has been widely employed in neutral network to evaluate the relative effects of the variables.
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It was found that an importance cutoff value of twice the mean of the importance values, gave the best results for our dataset, and by excluding less important proteins both the speed and the accuracy increased.
This actually means that these importance values represent the slopes of the rate-distortion curves associated to each associated to the substreams.
To empirically determine which proteins to include into PHACTS calculations, the importance cutoff value was set to various percentages at and above the mean, and the 227 phages were classified using these various importance value cutoff values.
Each feature is assigned an importance value using eigenvectors, thereby ranking the feature's usefulness as a means of classification.
Importance value.
Importance value index rank.
Importance value index.
Importance value index: IVI = RD + RF + RDom.
Mean importance scores were calculated.
The mean male and female pollinator importance values in Bombus spp. and A. mellifera were not within the 95% C.I. in lepidopterans; therefore, pollinator importance in lepidopterans was significantly greater than pollinator importance in Bombus spp. or A. mellifera.
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