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It is a model performance, but perhaps not the last.
By discarding useless or redundant variables, not only it improves model performance but also facilitates its interpretability.
The preliminary success of Pareto ensembles recalls the critical insight from the Netflix Prize competition: The best results came not from improving individual model performance but from creating ensembles where the best attributes were collectively amplified.
The c-statistic is a popular tool used to judge model performance, but can be limited, particularly when evaluating specific operations in focused populations.
These extensions will not only improve model performance but will also enlarge its application range in simulating the genesis of typical features of more than half of the WRB-Reference Soil Groups.
Adding a spatial autocovariate term to the LR model (autologistic model) reduced the spatial autocorrelation and improved model performance, but did not correct the misidentification of the dominant environmental determinant.
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Not only the model performance indicators, but the errors also confirmed the above fact.
Such models can be used to make predictions for model performance assessment, but the task is made more complicated by the multiple imputation structure.
First, we assessed model performance when all but one analyte was held constant in the data files, with the value of the chosen analyte randomized.
The model performance was acceptable, but not as strong when applied to the US population based cohort.
The spatial regression approach improved all relationships, demonstrating its utility, but model performance declined across pre-fire agents of change, suggesting that such studies should stratify by pre-fire forest condition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com