Notes
  • AI
    • Bayesian
      • Complexity Theory
        • Constraint Satisfaction Problem
          • Cryptography
            • Data Science
              • Data
                • Data Visualization
                  • Database
                    • Dimensionality Reduction
                      • Machine Learning
                        • Classification
                          • Clustering
                            • Decision Tree
                              • Deep Learning
                                • Ensemble
                                  • Evaluation
                                    • Explainable AI
                                      • Accumulated Local Effect Plot
                                      • Action Advice
                                      • Activation Maximization
                                      • Algorithm Transparency
                                      • Ante-Hoc
                                      • Application Level Evaluation
                                      • Artificial General Intelligence
                                      • Black Box Model
                                      • Classification and Regression Trees
                                      • Coalition
                                      • Comprehensability
                                      • Consistency
                                      • Counterfactual
                                      • Disentangled Features
                                      • Effect (XAI)
                                      • Effect Plot
                                      • Encoding of Categorical Features
                                      • Explainability
                                      • Explainable AI
                                      • Explanation
                                      • Expressive Power
                                      • Feature Attribution
                                      • Feature Importance
                                      • Feature Interaction
                                      • Fidelity
                                      • Friedman's H-statistic
                                      • Function Level Evaluation
                                      • Generalized Additive Model
                                      • Generalized Linear Model
                                      • Global Explanation
                                      • Global Surrogate
                                      • Grad-CAM
                                      • Homoscedasticity
                                      • Human Level Evaluation
                                      • Individual Conditional Expectation Curve
                                      • KernelSHAP
                                      • LIME
                                      • Linear Regression
                                      • Local Explanation
                                      • Local Surrogate
                                      • Log Odds
                                      • Logistic Regression
                                      • MOC - Intro to XAI
                                      • Model-Agnostic
                                      • Model-Specific
                                      • Network Dissection
                                      • Partial Dependence Plot
                                      • Permutation Feature Importance
                                      • Portability
                                      • Post-Hoc
                                      • Prototype
                                      • R-Squared
                                      • Rashomon Effect
                                      • RuleFit
                                      • Saliency Map
                                      • Shapley Additive Explanations
                                      • Shapley Values
                                      • Stability
                                      • Translucency
                                      • TreeSHAP
                                      • Unit
                                      • Vanilla Gradient
                                      • Weight Plot
                                      • White Box Model
                                    • Feature Engineering
                                      • Natural Language Processing
                                        • Neural Networks
                                          • Outlier
                                            • Random Forest
                                              • SVM
                                                • Time Series
                                                  • Attribute Selection Method
                                                  • Automatic Concept-Hierarchy Generation
                                                  • Basis Function Expansion
                                                  • Classification
                                                  • Complexity vs. Generalization Error
                                                  • Custom Loss Function for Linear Regression in Python
                                                  • Decision Boundary
                                                  • Decision List
                                                  • Double Descent
                                                  • Empirical Loss
                                                  • Forest-RC
                                                  • Generalization Loss
                                                  • Grid Search
                                                  • Heuristic Search
                                                  • Kernel Trick
                                                  • Learning Curve
                                                  • Lineare Regression per Hand ausrechnen
                                                  • Loss Function
                                                  • Machine Learning
                                                  • Majority Voting
                                                  • Maximum Margin Separator
                                                  • ML Pipeline
                                                  • Model Deployment
                                                  • Model Selection
                                                  • Model Training
                                                  • Nearest Neighbors Algorithm
                                                  • Nested Cross Validation
                                                  • Norm Loss
                                                  • Normalization
                                                  • Normalization by decimal scaling
                                                  • Numerosity Reduction
                                                  • One-Hot-Encoding
                                                  • Online Learning
                                                  • Optimization of a Linear Model
                                                  • Overfitting
                                                  • Overfitting and Underfitting
                                                  • Performance Monitoring
                                                  • Presidio
                                                  • Quantile Regression
                                                  • Randomized Search
                                                  • Reconstruction Loss
                                                  • Regression
                                                  • Reinforcement Learning
                                                  • Semi-Supervised Learning
                                                  • Sequence To Sequence Model
                                                  • Singular Value Decomposition
                                                  • Sparsity
                                                  • Stratified K-Fold Corss Validation
                                                  • Stratified Sampling
                                                  • Supervised Learning
                                                  • Support Vector Machine
                                                  • Train Validation Split
                                                  • U-shaped Learning
                                                  • Underfitting
                                                  • Unsupervised Learning
                                                • Bias
                                                • Binning
                                                • Contingency table for binary data
                                                • Correlation Analysis
                                                • Cross-Industry Standard Process for Data Mining
                                                • Data Cleaning
                                                • Data Compression
                                                • Data Discretization
                                                • Data Ingestion
                                                • Data Integration
                                                • Data Mining in the ML and Statistics Community
                                                • Data Preparation
                                                • Data Profiling
                                                • Data Quality
                                                • Data Reduction
                                                • Data Segregation
                                                • Data Transformation
                                                • Gaussian Mixture Expectation Maximization
                                                • Gewichteter Mittelwert
                                                • Histogram Analysis
                                                • Log-Likelihood
                                                • Metriken
                                                • Min-Max Normalization
                                                • Sample
                                                • Sampling
                                                • Simple Matching Coefficient
                                              • Decision Theory
                                                • Distances
                                                  • Fourier Transform
                                                    • Frequent Item
                                                      • Graph
                                                        • Information Theory
                                                          • Knowledge Representation
                                                            • Logic
                                                              • Markov
                                                                • Mathematics
                                                                  • media
                                                                    • Optimization
                                                                      • Other
                                                                        • Pattern Recognition
                                                                          • Search
                                                                            • Sort
                                                                              • Statistics
                                                                                • INDEX
                                                                                • MOC - Introduction to Statistics and Statistical Programming
                                                                                • MOC - Stochastische Modellbildung
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                                                                                • Permutation Feature Importance

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                                                                                1. Data Science /
                                                                                2. Machine Learning /
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                                                                                4. Feature Importance

                                                                                Feature Importance

                                                                                Single number per feature.

                                                                                Examples:

                                                                                • Permutation Feature Importance