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His performance on the training ground is different from other trainers.
Roughly speaking, generalization theory provides ways to narrow the difference between performance on the training data and performance on new data.
Importantly, in control mice (without cuprizone) cholesterol supplementation, did neither influence performance on the training wheel nor motor learning (Vmax, run duration, number of runs and running distance on the complex wheel) (Supplementary Fig. 7 and not shown).
However, unlike some learning techniques, such as Artificial Neural Networks (ANNs), GP does not have a principled procedure for changing parts of a learned structure based on that structure's performance on the training data.
The EFMT and CT groups did not demonstrate significantly different numbers of sessions completed (EFMT: 14.46 (SD = 5.27), CT: 14.91 (4.33); t(46) = 0.318, p = 0.752) or significantly different performance on the training task (mean N-level achieved; EFMT: 3.37 (1.73), CT: 4.40 (2.03); t(46) = 1.892, p = .065) although the CT group appeared to show an estimated greater performance on the CT task.
Performance on the training task was not significantly correlated with Ham-D response in either group (EFMT: r = −0.365, p = 0.066; CT: r = 0.406, p = 0.061) although the correlations were in opposite directions: greater performance was associated with greater Ham-D improvement in the EFMT group and lesser improvement in the CT group.
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But when I move into competition phase it's quality as opposed to quantity, all about making sure I don't put in my best performances on the training track.
To evaluate the RANSAC model performances on the training set we used (Q_{train}^{2}) as expressed by Eq. (7).
Tables 2 and 3 showed their performances on the training and testing datasets, respectively.
The value was determined by testing prediction performances on the training data of MG and was meant to be enough to avoid overfitting of the self-training model to a few genes on a short input sequence.
For the preliminary experiments performed in Sections 5 and 6, we train all models on the small training set and report the performance on both the training and the hold-out set.
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