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The same score can be applied on the training data itself to produce a training score.
A training score for departments and institutions should be considered during grant review.
Data, aggregated at the departmental or program level, would form part of a training score for the department and institution.
Anonymous evaluation of available training by graduate students and trainees should be aggregated at the departmental level and used to form part of a training score for the department and institution.
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We first used a grid search to explore the parameter space of every method and determine their most optimal parameters given a certain dataset and module definition, which resulted in a training scores.
After training at τ1, between 24 and 27 edges are selected (based on 3 separate optimization runs, see Additional files 2 and 3), leading to an average training score of 0.031 (vs 0.066 for an empty model and 0.084 for the starting PKN-derived model).
A lifelong formal training score was calculated for each dog using the results from an extensive demographic questionnaire filled in by the owners during the cognitive battery testing.
Furthermore, some of this information, properly anonymized and aggregated, could be used to create a publicly accessible "training score" for departments; this metric would incentivize excellence in mentoring to maintain competitiveness in recruitment of young, talented scientists.
In a separate model, the effect of lifelong training score was examined.
The active joint properties are improved significantly with the training score increasing from 5.7±0.9 to 8.1±0.6, and getting close to that of normal subjects (9.5±0.3).
For every method we give two scores: the training score represents the score at the optimal parameter settings, whereas the test score denotes the performance when parameters were estimated on an alternative dataset (Fig. 1c).
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CEO of Professional Science Editing for Scientists @ prosciediting.com