Confirmation bias also surfaces in people's tendency to look for positive instances.
Obviously, universal propositions, such as "All cats have claws," being only partially supportable by positive instances (one cannot examine every cat that exists), are not conclusively verifiable.
As shown in Table 3 and 4, the dataset contains more positive instances than negative instances.
Moreover, RSIS also allows the identification of positive instances on an individual basis, as required in many practical applications.
An argument might overturn our intuitive verdict of confirmability by positive instances for generalizations containing these terms but the burden is on the denier.
At the specific, ordinary, empirical level negative instances are possible, but at the generic, metaphysical level only positive instances are possible, on this view.
For as we have seen, the pld is mostly just a sample of sentences, of positive instances of the target language.
An informant environment is an infinite sequence of presentations sorted into two lists, positive instances (expressions belonging to the target language) and negative instances (not in the language).
This dataset consisted of an imbalance bioinformatics Big Data problem formed by 32 million instances and more than 600 attributes with just a 2% of positive instances.
True-positive rate (hbox {TP}_mathrm{rate}=frac{hbox {TP}}{hbox {TP},+,hbox {FN}}) is the percentage of positive instances correctly classified.
Like the intermediates dataset, the CFSAN chemical space is strongly biased toward negative instances (874 negative instances for 525 positive instances).
