SOTAVerified

Feature Importance

Papers

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Showing 551–600 of 890 papers

TitleStatusHype
EFI: A Toolbox for Feature Importance Fusion and Interpretation in PythonCode0
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families—0
Bias Reducing Multitask Learning on Mental Health Prediction—0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
Parameter Averaging for Feature Ranking—0
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity PredictionCode0
Neural Greedy Pursuit for Feature Selection—0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm—0
SHAP-XRT: The Shapley Value Meets Conditional Independence TestingCode0
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case StudyCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative ModelsCode0
GLANCE: Global to Local Architecture-Neutral Concept-based ExplanationsCode0
Comparing Feature Importance and Rule Extraction for Interpretability on Text DataCode0
FACT: High-Dimensional Random Forests Inference—0
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
Inherent Inconsistencies of Feature Importance—0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability—0
Towards Responsible AI for Financial Transactions—0
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles—0
Feature Selection for Discovering Distributional Treatment Effect Modifiers—0
An Annotated Corpus of Textual Explanations for Clinical Decision SupportCode0
How explainable are adversarially-robust CNNs?—0
Unsupervised Features Ranking via Coalitional Game Theory for Categorical DataCode0
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections—0
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning—0
Spending Privacy Budget Fairly and Wisely—0
On Machine Learning-Driven Surrogates for Sound Transmission Loss SimulationsCode0
Ultra-marginal Feature Importance: Learning from Data with Causal GuaranteesCode0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study—0
Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task VideosCode0
The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest—0
Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Prediction ModelsCode0
Error-based Knockoffs Inference for Controlled Feature Selection—0
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging dataCode0
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest—0
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations—0
Study of Feature Importance for Quantum Machine Learning Models—0
Towards a consistent interpretation of AIOps models—0
The impact of feature importance methods on the interpretation of defect classifiers—0
Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76—Unverified
2Garson Variable ImportancePearson Correlation0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6—Unverified
2Garson Variable ImportancePearson Correlation0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86—Unverified
2Garson Variable ImportancePearson Correlation0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83—Unverified
2Garson Variable ImportancePearson Correlation0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9—Unverified
2Garson Variable ImportancePearson Correlation0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74—Unverified
2VarImpVIANNPearson Correlation0.41—Unverified