Statistically inappropriate accuracy target.
The paper statistically investigates accuracy of predictions of short-term deflections.
The results show that in most of the checked conditions, agents that use our dialog framework significantly improve (statistically) the accuracy of the evaluations, over the agents that do not use it.
The various studies seem to agree, however, in their conclusion that in such cases (as is also our present study), a minimum of 75 to 100 test pixels per class are necessary for a statistically significant accuracy assessment.
The time to perform the tasks was lower and it was still possible to register a statistically greater accuracy result than by using the other structures (values smaller than 0.05 in Table 10).
The range of all thyroid mean residence times (MRTs) was 212 to 699 min, which from noise injected simulations of each case had an average coefficient of variation of 0.7% and a not statistically significant accuracy error of 0.5% (p = 0.5, 2-sample paired t test).
One study looking at 4041 patients with depression, found that by using a machine learning approach, they could predict response to the antidepressant citalopram with a highly statistically significant accuracy of 64.6%.
Similarly, group × word interaction effects on behavioral responses were not statistically significant (accuracy: p = 0.93, F = 0.009, DF = 1; RT: p = 0.66, F = 0.19, DF = 1).
Here we demonstrate clinically and statistically acceptable accuracy of the FreeStyle Navigator CGM and MPC algorithm in women with type 1 diabetes during pregnancy.
Our prediction algorithm based on epigenetic variance (EVORA Figuree 3A) could predict, with low but statistically significant accuracy (AUC = 0.66, P < 0.05), prospective CIN2+ status in blind test sets.
