In this context, the QSAR/QSPR model must satisfy two quality standards: high prediction accuracy, preferably evaluated with an external dataset, and good interpretability, evaluated from a physicochemical point of view.
These results highlighted the fact that the loss of interpretability deriving from the use of overcomplex methods in survival analysis of BC microarray data might be not sufficiently counterbalanced by an improvement in the quality of prediction.
This result suggests that the loss of interpretability deriving from the use of overcomplex data analysis strategies may not be sufficiently counterbalanced by an improvement in the quality of prediction.
This result suggests that proliferation might be the most relevant biological process for BC prognostication and that the loss of interpretability deriving from the use of overcomplex methods may be not sufficiently counterbalanced by an improvement of the quality of prediction.
This issue leads to problems in inference and interpretability for the results from MDR and the family-based compliment the MDR-pedigree disequilibrium test (PDT).
There was no evidence of a consensus core dataset needed for all patients, nor of the availability or interpretability of results from standardised assessments from one discipline to another.
Reverberation and speech interpretability are derived from tape recordings of loud clear noises emitted in the exercise rooms.
Indeed, the interpretability of findings from the present study and existing investigations using these measures is dependent on its reliability, so it is critical for future examinations to assess the internal reliability of these measures in early childhood to affirm the validity of using these measures to assess individual differences.
As a machine learning PhD student at Carnegie Mellon University, Zhou is exploring problems at the intersection of machine learning and health care, such as personalization, interpretability for human-in-the-loop learning, and synthesizing heterogeneous data from multiple modalities.
The resulting model is also evaluated from an interpretability point of view, showing how the rule weights provide additional information to help data understanding and model exploitation.
