Sentence examples similar to predictive algorithms demonstrate from inspiring English sources

The initial evaluation of the section and sentence detection algorithms demonstrated a sensitivity and positive predictive value of 100% when detecting sections, and a sensitivity of 89% and a positive predictive value of 94% when detecting sentences.

A number of studies have demonstrated computational power of these predictive algorithms (Selbach et al. 2008; Guo et al. 2010).

Third, our claims algorithm demonstrated a high positive predictive value for identification of partial nephrectomy (PPV 94%) and laparoscopic kidney cancer surgeries (PPV 92%).

The algorithm demonstrated excellent specificity and positive predictive values for detecting respiratory conditions.

Similar to previous studies, our final algorithm demonstrated a high specificity and negative predictive value [ 6, 7].

Another looks at the potential of predictive algorithms: if those improve to be able to predict individual behavior, all sorts of new attacks might occur.

Validation of this algorithm demonstrated a high level of sensitivity and positive predictive value (93.2% and 92.3%, respectively) [ 24].

Five predictive models were constructed; the model with 44 variables based on the Random Forest algorithm demonstrated the best accuracy (89.084 %) and the best AUC value (0.949).

Microsoft researchers have been using search to test predictive algorithms.

Predictive algorithms can often outperform humans in making legal decisions.

Human decision making is increasingly being displaced by predictive algorithms.