Results 31 to 40 of about 7,127,658 (298)
Bar charts of feature importance; from top to bottom, the feature importance decreases.
, 2023 Bar charts of feature importance; from top to bottom, the feature importance decreases.
Qian Yang (300330) +5 more
core +1 more source
Feature-wise importance for predicting COVID-19 status in all patients and care-setting cohorts.
, 2021 (A) The top 20 individual features are rank-ordered by mean absolute SHAP value, the measure of proportional importance towards the prediction of positive test outcomes.
Kenton O’Hara (11565532) +6 more
core +1 more source
Combined Feature Selection Scheme for Banking Modeling
Финансы: теория и практика, 2023 Machine learning methods have been successful in various aspects of bank lending. Banks have accumulated huge amounts of data about borrowers over the years of application.
S. V. Afanasyev +3 more
doaj +1 more source
Predicting coastal algal blooms with environmental factors by machine learning methods
Ecological Indicators, 2021 Harmful algal blooms are a major type of marine disaster that endangers the marine ecological environment and human health. Since the algal bloom is a complex nonlinear process with time characteristics, traditional statistical methods often cannot ...
Peixuan Yu +3 more
doaj +1 more source
, 2021 Median ranked feature importance percentiles (stratified by feature type) are plotted together against the absolute value of the weighted WMW effect size.
Chris Bailey-Kellogg (682345) +1 more
core +1 more source
Variable importance using Permuted Feature Importance (PFI) method.
, 2022 Variable importance using Permuted Feature Importance (PFI) method.
Amy Mouat-Hunter (14100433) +3 more
core +1 more source
Measuring Feature Importance of Convolutional Neural Networks
IEEE Access, 2020 Convolutional neural networks have demonstrated powerful abilities to achieve state-of-the-art results in many classification tasks, while the interpretability and reliability of these complicated models are also a non-negligible problem.
Xiaohang Zhang, Jiuyi Gao
doaj +1 more source
The Feature Importance Ranking Measure [PDF]
, 2009 15 pages, 3 figures. to appear in the Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD ...
Alexander Zien +3 more
openaire +4 more sources
Web Map / Feature Services Cookbook
, 2023 Learn how to use web map and feature services to easily and quickly provide spatial context, without the need to download and process GBs of data!If you use this cookbook, please cite it as ...
Huang, Andrew +1 more
core +1 more source
Feature importance of the MRLSM.
, 2022 Feature importance of the MRLSM.
Yue Wu (1262184) +3 more
core +1 more source