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We first describe datasets used for training and testing our method.
The network has been developed with 80%% datasets used for training, 15 % for validation and 5%% for testing.
Table 1 Statistics of the datasets used for training: number of words in the dictionary and amount of speakers and data Dataset Dict.
However, in this research, the datasets used for training and testing are obtained from the same group of volunteers using several modes of transport, so we do not verify this influence in detail.
The quality of predictions generated by any computational method depends squarely on the scoring algorithm and the datasets used for training the method.
No sequences in the dataset share more than 25% sequence identity to a sequence within the BT426 dataset, Cull-2220 describeddescribelowelor) or the datasets used for training and evaluation of the NetSurfP method [28].
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Here, we re-load the same dataset used for training, but a different dataset could be used instead.
The dataset used for training are shown in Table 1.
Table 4 Specification of the released traffic sign dataset used for training SVM classifiers.
The histData set represents 90% of the whole dataset used for training and testing.
Generally 70% of the available dataset used for training and rest is equally divided for testing and validation purpose (15% each).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com