The results for cost-sensitive learning with MetaCost using varying misclassification costs are shown in Tables 7 and 8. Classifiers do not seem to be very sensitive to the misclassification cost so performance variations were observed at relatively high cost values.
Our results also indicate, in line with the general conclusion of previous models that spatial structure favours cooperation [ 6, 8, 19, 79], as high values of cooperation evolve for both public actions (hunting and group defense, see large red bubbles) even at high cost values.
The higher cost values are achieved for the exponential distributed service time as compared to gamma distributed service time.
However, spatial population structure promotes cooperation and it allows cooperators to invade at higher cost values with regard of both types of costs (i.e. compare 5.e with 5.g and 5.f with 5.h).
Also for higher cost values the instable fix points move closer to the stable fix points, which means that the invasion of cooperators in a population of defectors becomes harder, while the invasion of defectors into a cooperative population becomes more likely.
This means that they achieve the criteria more efficiently that those with a higher cost-value ratio, and therefore represent better value for money.
Currently, energy storage industry in China is still facing with challenges of lack of policy support, high cost, unclear application value, unhealthy market mechanism and other issues.
Hub regions within the brain are high cost and high value, and are particularly vulnerable to abnormality across a range of disorders (Crossley et al., 2014).
Moreover, the molecular technique, automated DNA sequencing, inspite of its high cost is of value in rapid detection of drug resistance (8 hours) resulting in improving the ability of clinicians to optimize early therapy.
Indications with high cost-effectiveness values were more likely to be reimbursed (ρ = −0.68, P = 0.001).
