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The study demonstrated the high value of training opportunities, but not equal access to those causing dissatisfaction.
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An accurate ANN model was attained with a high value of correlation coefficient for the train and test subsets.
It was caused by one very high value of 11811 U/l from a subject who trained mountain biking the day before.
The Cooper statistics based on training set indicated an accuracy of 91%, high value of sensitivity (96%) and specificity (86%).
20The predicted probability that firms that require high labor turnover (highest value of index) provide training increases from 17percentto68percentcent as the index of regular EPL goes from its minimum value to its maximum value, while for firms that require low labor turnover (Lowest value of index), this probability goes from 63percentto75percentcent.
Therefore, we hypothesized that: the distribution of the differences between the predicted and the observed bioactivity values, are more dispersed for compound-target pairs distant from the training set (high values of σ y ⋆ 2 ).
These were high values of sense of community, moderate values of consistent training, modeling and monitoring strategies; and low values of negative welcoming strategies, as displayed in Table 3.
Highest value of coefficient of correlation between ANN modelled and FAO56 PM estimated ET0 was found 0.993 and 0.956 during training and validation, respectively.
Artificial neural networks gave the highest values of AŨC on training data, but their discrimination ability decreased sharply when estimated on testing data (Table 9).
Red areas indicate higher values for trained, blue areas higher values for untrained sequences.
The higher values of R and Q in the training and the test set, respectively are clearly indicated by the points lying extremely near to the best-fit line.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com