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The model performed equally well when reductions in sampling frequency were applied, and it was also relatively robust to the addition of up to ± 2 residual SD of random noise in the BHBA values.
The model performed equally well in simulating rice grain yield during multi-season crop sequences as the original validation testing reported for the stand-alone ORYZA2000 model simulating single crops (n = 121, R2 = 0.81 with low bias (slope, α = 1.02, intercept, β = −323 kg ha−1), RMSE = 1061 kg ha−1 (cf. SD of measured data = 2160 kg ha−1)).
The numbers show that the LSA model and the baseline model performed equally: 84.94 % vs. 83.89 % in the unigram approach and 84.15 % vs. 83.77 % in the bigram approach.
The MaxEnt model performed equally well on the plant and animal distributions, and cannot be rejected for 81 (70%) of the 115 plant distributions and 78 (68%) of the animal distributions.
Overall, the NHS model performed equally well when applied in the CTS.
In contrast, our MLR informed by CART model performed equally well among patients with isolated tumor cells, micrometastases, or macrometastases.
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The model performs equally well for datasets where the mean certainty of the base calls is ∼80% and higher.
Therefore, when comparing the simulation results with those of our model, the simulation performs better at the first two points in time, the simulation and our model perform equally well at the third point in time (2 min), and our model performs better for the remaining points in time (not shown).
The FDC approach was better at predicting medium to low flows in traditional calibration against the Nash Sutcliffe-Efficiency or Root MeaNash Sutcliffe-Efficiencycalibrated against a lor flow objective function, both the FDC and Rootfall–runoff MeanlSquareormErrorually well in simulating the low flows.
These models performed equally well on the independent datasets.
Thus, in those instances where changes in structure resulted in activity changes of a proportional magnitude, all of the models performed equally well.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com