Sentence examples for lead to different classifications from inspiring English sources

Patients annotated in black are classified as poor prognosis, and many cases are evident where different algorithms lead to different classifications.

Different NI biomarkers lead to different classifications of ADNI subjects, while structural MRI and CSF tau measures showed the strongest predictive value for progression to MCI/DAT.

Different definitions can lead to different classifications and, in terms of program funding for instance, may alter a community or individual's entitlement eligibility.

For facial recognition, we discover that same facial features can lead to different classification results due to different pixel values that they hold; For emotion recognition, we are able to track down the facial features that lead to the miss-classifications.

This may lead to different classification of diastolic function and erroneous diagnosis of diastolic heart failure in clinical practice using CC-TDI.

Moreover, the affiliations of different Trachypithecus species groups, especially T. [ vetulus] and T. [ pileatus], are disputed, and hence, led to different classifications.

A total of 14 single base substitutions were identified at different positions, and of these, six were non-synonymous mutations, which did not appear to alter the function of TaBiP, although the associated structural changes have led to different classifications in cereal crops.

Different classification methods may lead to different prediction errors.

The use of different definitions for the same class may lead to different chemical hierarchies as produced by classification tools implementing the same algorithms (structure-based and/or logic-based).

For the classifier which outputs a continuous numeric value to represent the confidence or probability of a sample belonging to the predicted class, adjusting the classification threshold will lead to different confusion matrices which decide different ROC points [ 21].

For the classifier which outputs a continuous numeric value to represent the confidence or probability of a sample belonging to the predicted class, adjusting the classification threshold will lead to different confusion matrices which decide different ROC points [ 29].