Sentence examples for prediction categorization from inspiring English sources

Consistent with our prediction, categorization scores for cooperating veterans and newcomers were significantly greater than zero (M = 0.43, SD = 1.18, t64 = 2.94, one-tailed p = 0.002, r = 0.34 .We next tested whether free-riding newcomers were distinguished from free-riding veterans.

Prediction: Tenure Categorization Will Persist in the Presence of an Orthogonal Social Dimension Cooperator/Free Rider We first examined whether cooperating veterans and cooperating newcomers were distinguished from each other.

Prediction: Tenure Categorization Will Persist in the Presence of an Orthogonal Social Dimension Sex We first examined whether veterans and newcomers were distinguished from each other within male targets.

For instance, expressed sequence tag (EST) data sets facilitate the prediction and categorization of key molecules, particularly those linked to development (both in pre-parasitic and parasitic stages), sexual differentiation and maturation, based on comparisons with other organisms for which sequence and functional genomic data sets are available.

We tested the categorization predictions using an approach similar to Experiment 1.

Prediction: Coalition Members Will be Categorized by Tenure Length As predicted, subjects implicitly categorized members by tenure length: The average categorization score was significantly greater than zero (M = 0.78, SD = 1.77, t53 = 3.24, one-tailed p = 0.001, r = 0.41).

Unfortunately, on the other hand, less attention is given to the genre of classification problems where samples may belong to several classes and at the same time the class labels are organized based on a structured hierarchy; such as gene ontology, protein function prediction, test scores, web page categorization, text categorization etc.

Additional measurements at later times were of limited value for prediction based on model categorization.

Current criteria to distinguish individual NHL subtypes such as morphology, immunophenotype, and genetic abnormalities do not allow reliable subtype categorization and prediction of treatment response for NHL cases.

To specifically examine these predictions, we developed a categorization of math problems that identifies those problems most likely affected by spatial training.

Highly accurate sequence-based protein turn prediction has confirmed this new categorization as consistent and well defined [2].