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By capturing the spatial heterogeneity in the dataset, the GWR model achieved higher prediction accuracy than a global model.
The table shows that, in both datasets, the MLP-ARIMA series model achieved higher prediction accuracy than the parallel and individual base models.
The ws-RF model achieved higher prediction accuracy when using m t r y = M.
At 72 h the CRT model achieved higher specificity than MLR analysis.
This model achieved higher AH levels than those that relied only on temperature sensors [ 19].
Opportunistic DR screening model achieved higher yield of identification of visual impairment and DR compared to the yield of 10% of existing self reported Diabetic eye screening model at Zanzibar.
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The proposed model achieved high rates of specificity and sensitivity in cross-validation.
The predictive model achieved high accuracy evaluated by 10-fold cross-validations.
The model achieved high identification accuracy and was generalized to an independent set of data.
In this study, the PQ-concentrations of 41 patients before HP treatment were employed as variable of input layer, and the model achieved high accuracy by selecting the PQ-concentrations after HP treatment as test.
Compared with existing approaches, experimental results on synthetic and real-world data sets demonstrate that the proposed model achieve higher accuracy and efficiency.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com