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Exact(4)
Our consensus ensemble median machine learning predictor beat nine of the ten individual algorithms on each of RMSE, AAE, R2 and ρ.
Hence, we decided in advance that our consensus machine learning predictor would be based on the median solubility predicted for each molecule amongst the ten algorithms.
While our consensus human predictor achieved very slightly better headline figures on various statistical measures, the difference between it and the consensus machine learning predictor was both small and statistically insignificant.
While the consensus human predictor achieved very slightly better headline figures on various statistical measures, the difference between it and the consensus machine learning predictor was both small and statistically insignificant.
Similar(56)
The ten machine learning predictors spanned a range of RMSE from 0.985 to 1.813 log S units.
RF also produces good results, with an RMSE of 1.165, and ranks in the top three individual machine learning predictors on all criteria.
Several machine learning predictors were combined in the final solution with the objective of anticipating the suitability of Netflix content for some user considering previous behavior in the platform.
We previously developed a machine-learning predictor BEAN (Bacterial Effector ANalyzer) to identify T3SEs from pathogen genomes.
(28) in mitochondrial protein prediction, BEAN 2.0 consists of three components: sequence alignment-based predictor, domain-based predictor and machine-learning predictor.
In the machine-learning predictor, the homologs of the query protein are searched firstly through HHblits (29) for constructing a sequence profile.
If the query protein harbors T3SE-exclusive domains (non-T3SE-exclusive domains), it will be predicted as a T3SE (non-T3SE); otherwise, it will be further processed by the machine-learning predictor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com