Assessing the performance of classification methods
DJ Hand - International Statistical Review, 2012 - Wiley Online Library
A large number of measures have been developed for evaluating the performance of
classification rules. Some of these have been developed to meet the practical requirements …
classification rules. Some of these have been developed to meet the practical requirements …
[PDF][PDF] Measuring the accuracy of species distribution models: a review
Species distribution models (SDMs) are empirical models relating species occurrence to
environmental variables based on statistical or other response surfaces. Species distribution …
environmental variables based on statistical or other response surfaces. Species distribution …
[PDF][PDF] Evaluation measures for models assessment over imbalanced data sets
M Bekkar, HK Djemaa, TA Alitouche - J Inf Eng Appl, 2013 - eva.fing.edu.uy
Imbalanced data learning is one of the challenging problems in data mining; among this
matter, founding the right model assessment measures is almost a primary research issue …
matter, founding the right model assessment measures is almost a primary research issue …
Measuring and comparing the accuracy of species distribution models with presence–absence data
Species distribution models have been widely used to predict species distributions for
various purposes, including conservation planning, and climate change impact assessment …
various purposes, including conservation planning, and climate change impact assessment …
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches
Antiviral peptide (AVP) is a kind of antimicrobial peptide (AMP) that has the potential ability
to fight against virus infection. Machine learning-based prediction with a computational …
to fight against virus infection. Machine learning-based prediction with a computational …
[图书][B] Uncertainty: the soul of modeling, probability & statistics
W Briggs - 2016 - Springer
Fellow users of probability, statistics, and computer “learning” algorithms, physics and social
science modelers, big data wranglers, philosophers of science, epistemologists, and other …
science modelers, big data wranglers, philosophers of science, epistemologists, and other …
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities
Abstract Motivation Antimicrobial peptides (AMPs) have the potential to inhibit multiple types
of pathogens and to heal infections. Computational strategies can assist in characterizing …
of pathogens and to heal infections. Computational strategies can assist in characterizing …
Clinically interpretable radiomics-based prediction of histopathologic response to neoadjuvant chemotherapy in high-grade serous ovarian carcinoma
Background Pathological response to neoadjuvant treatment for patients with high-grade
serous ovarian carcinoma (HGSOC) is assessed using the chemotherapy response score …
serous ovarian carcinoma (HGSOC) is assessed using the chemotherapy response score …
Using relative utility curves to evaluate risk prediction
SG Baker, NR Cook, A Vickers… - Journal of the Royal …, 2009 - academic.oup.com
Because many medical decisions are based on risk prediction models that are constructed
from medical history and results of tests, the evaluation of these prediction models is …
from medical history and results of tests, the evaluation of these prediction models is …
Perceptions of disease risk: From social construction of subjective judgments to rational decision making
Many factors influence how people form risk perceptions. Farmers' perceptions of risk and
levels of risk aversion impact on decision-making about such things as technology adoption …
levels of risk aversion impact on decision-making about such things as technology adoption …