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The phrase "model performance on" is correct and usable in written English.
It can be used when discussing the effectiveness or results of a model in relation to a specific dataset or task. Example: "We need to evaluate the model performance on the test dataset to determine its accuracy." Alternatives: "model evaluation regarding" or "model effectiveness in".
Exact(41)
To further assess model performance on a per target basis, we generated 10 RF models each one trained on a different subset of the whole dataset.
After an initial assessment of model performance on different platforms, we evaluated whether predictive signature features selected in one platform could be directly used to train a model in the other platform and whether predictive models trained using data from one platform could predict datasets profiled using the other platform with comparable performance.
In the effort to make emotions true, to model performance on the plausible actions of life offstage or offscreen, the modern actor is often both too much and too little herself.
Figure 5 Model performance on K index.
Figure 4 Model performance on the test set.
Figure 6 Model performance on K p index.
Similar(19)
Figure 3 Model performances on the different feature sets.
To evaluate the RANSAC model performances on the training set we used (Q_{train}^{2}) as expressed by Eq. (7).
Further experimental investigation of model performances on application to different industrial fire accident data evaluated on the basis of the MAPE showed that better GFMAPR performances could be obtained from the number of created SDR sets related to ( omega_{r}^ ).
In this section, we compare the competing FR-IQA models' performance on the five FR-IQA databases in terms of SROCC, KROCC, PLCC, and RMSE.
The uncorrelated bioactivities 0.5 and 1 datasets served to assess the models' performance on compounds displaying a dynamic range of bioactivities across the cell line panel, while the latter dataset served to evaluate whether the models' performance improves when using replicate-averaged cell line sensitivity data (Supplementary Table S11 for details).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com