Sentence examples for fitness classification from inspiring English sources
Training heart rate was calculated as a percentage of the age predicted maximum heart rate (220-age) and was based on fitness classification from the STEP™ fitness assessment with 70, 75, 80 and 85% of predicted maximum heart rate prescribed for participants with poor, fair, good and excellent fitness, respectively.
Evaluate the new solutions by calculating the fitness (SVM classification accuracy).
(3) The ANNs in the population are evaluated using the training data and the fitness (balanced classification accuracy) for each model is recorded.
Finally, we employ the fitness-based classification to enhance SAT solvers (e.g., ChainSAT) and obtain the consistently highest performing SAT solver for CNF formulas, and therefore a new class of efficient hardware and software verification tools.
Including these rules in the selected rule subset will significantly change the fitness value and classification accuracy during training.
In our problem, the fitness value fit i is determined according to the solution classification accuracy using an SVM classifier.
We compare a recent geometric classification of fitness landscape based on triangulations of polytopes with qualitative aspects of gene interactions.
Evaluate the food sources by calculating the fitness, which is the classification accuracy using SVM classifier.
We use a sub-maximal test to estimate VO2max instead of a maximal test that has a higher precision level than needed in this study, which is merely a crude classification of fitness status.
Classification of fitness level was determined on the basis of fifths of treadmill time in each age-group (20 39, 40 49, 50 59, and ≥60 years) from the entire Aerobics Center Longitudinal Study (ACLS) cohort, as in our previous studies (19, 20).
Given an underlying function f : S → {0,1} defined on the set S of gene pair instances, the learning process produces a set of learning functions Γ = { f ^ : L → 0,1 ∣ L ⊂ S } that approximate f from the train set L. The goal is to find the best approximation function from Γ having a fitness function or a classification evaluation metric.
