SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 576–600 of 890 papers

TitleStatusHype
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification—0
Scrutinizing XAI using linear ground-truth data with suppressor variablesCode0
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics—0
A Comparative Study on Machine Learning-based Approaches for Improving Traffic Accident Severity PredictionCode0
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records—0
A Survey on the Robustness of Feature Importance and Counterfactual Explanations—0
On the explainability of hospitalization prediction on a large COVID-19 patient dataset—0
Counterfactual Shapley Additive ExplanationsCode1
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon SetCode0
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease—0
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsCode0
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach—0
AEFE: Automatic Embedded Feature Engineering for Categorical Features—0
On Predictive Explanation of Data Anomalies—0
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolutionCode0
Lexicon Creation for Interpretable NLP Models—0
Clustering-Based Interpretation of Deep ReLU NetworkCode0
Logic Constraints to Feature Importances—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—0
On the Trustworthiness of Tree Ensemble Explainability Methods—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Mask and Understand: Evaluating the Importance of Parameters—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
Towards trustworthy explanations with gradient-based attribution methods—0
Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasetsCode0
Show:102550
← PrevPage 24 of 36Next →
All datasetsbostonBreastcancerDiabetesDigitsirisWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.76—Unverified
2VarImpVIANNPearson 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