Sentence examples for data a classification from inspiring English sources

Exact(3)

For imbalanced data, a classification accuracy can be calculated both for positive and negative classes independently.

SUMMARY OF BACKGROUND DATA: A classification of adult ASD can serve several purposes, including consistent characterization of a clinical entity, a basis for comparing different treatments, and recommended treatments.

By representing each domain as a numerical vector of feature values derived from structural data, a classification model achieving 90% accuracy in separating binding and non-binding domains was constructed.

Similar(57)

By making bootstrap replicates of the original data multiple versions are formed, each acting as single learning data for a classification problem.

The easiest methods of organizing the data, some sort of classification, tends to work against innovation if you organize data into a classification you already know, how do you get new insight?

By and large, existing methods treat the interpretation of functional data as a classification problem (between bound and unbound DNA), and the analysis of comparative data as a problem of local alignment (to recover phylogenetic footprints of presumably functional elements).

An innovative uncertainty quantification framework consisting of; a set-theory based typology, a data library, a classification system, and a corresponding input-output model are put forward to address this research gap as the basis for future work in this field.

When the quality of the data is good enough it is both more natural and more ambitious to try to recover the 'denoised' transcription signal instead of directly summarizing the data via a classification algorithm.

In summary, to our knowledge this is the first study to use multivariate machine-learning techniques to predict ADHD diagnosis based on task-based fMRI imaging data showing a classification accuracy of 77%.

From the collected data, a binary classification problem is created.

For our data, a binary classification was performed using a non-linear SVC with a radial basis function (RBF) kernel.

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