By setting a probability threshold at 0.5 it is possible to distinguish anti-correlations and positive relations between the dependent and each predictor.
For comparison between the different treatment groups and the control group, an unpaired two-tailed Student's t test was used, with a probability threshold of p = 0.05.
The remaining map used the same dataset, but showed a probability threshold (i.e., 25% probability), instead of an ash threshold (i.e., ≥ 1 mm ash).
Setting a probability threshold of service occurrence >0.50, 10% of the area under agricultural land uses provides no landscape services, 35% delivers one service while 25%and19%9% supply two and three services, respectively.
Therefore, a paired two-tailed Student's t test was used to evaluate uptake differences between ER+ and their corresponding (in the same animal) ERαKD tumors using a probability threshold of p = 0.05 for significance.
Probabilistic isomass maps fix a probability threshold to represent the typical tephra accumulation given a probability of occurrence of the hazardous phenomenon conditional on the occurrence of the associated eruption scenario (e.g. Biass and Bonadonna 2013; Biass et al. 2016).
Four-group differentiations provided markedly improved assignment success rates of 97% for most continental Europeans tested (excluding Turkish and Adygei at the far eastern edge of Europe) and 95% for Central-South Asians, despite applying a probability threshold for the highest likelihood ratio above '100 times more likely'.
We define the probabilistic planning problem in terms of a probability distribution over initial world states, a boolean combination of propositions representing the goal, a probability threshold, and actions whose effects depend on the execution-time state of the world and on random chance.
Using a probability threshold of 0.5, logistic regression correctly classified 59.3% of individuals.
All variables significantly associated with seropositivity at a probability threshold of ≤0.25 in the bivariate analyses were entered into the initial multivariate models.
We subsequently mapped the richness of these species using a probability threshold of more than 0.4, which usually corresponds to the most frequently used and ecologically most important habitats [112].
