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In this way, the data from some weather stations in the Basque Country and Valencia region (Spain) were used for training the neuro-fuzzy models [in humid and non-humid regions, respectively] and subsequently, the data from these regions were pooled to evaluate the generalization capability of a general neuro-fuzzy model in humid and non-humid regions.
To evaluate the generalization ability of the modeling, the data was randomized into 3 subgroups of subjects prior to model development, where factors such as age, BCR status, and Gleason score (GS) were balanced.
We propose the use of repeated double cross-validation (rdCV) to choose a single final classifier and to evaluate the generalization ability of the selected classifier.
The proposed method is applied to select the candidate set of parameter combinations and carry out a k-fold cross-validation to evaluate the generalization performance of each parameter combination.
To evaluate the generalization ability of the proposed method SVM PSSM, a DNA-binding dataset PDC-59 consisting of 59 protein chains with low sequence identity on each other is additionally established.
An experimental generalization at county level demonstrates how to determine the generalization index values considering scale and land use pattern, and how to evaluate the generalization results using our macro indices.
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This study presents a new evaluation approach to focus on evaluating the generalization capability at the model level.
Using this strategy, we evaluated the generalization capacity of the system on similar specimens.
The approach was cross-dataset validated, based on the LIVE for training and model selection and on the TID2008 for evaluating the generalization performance of the framework.
This study replicated and extended former studies by evaluating the generalization of reading and writing skills, taught through the use of the computerized program Learning to Read in Small Steps, across bingo, domino, and crossword games.
The external validation enabled evaluating the generalization of the results.
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