A Survey on Graphical Methods for Classification Predictive Performance Evaluation

No abstract is available for this paper.

• Publication year

  2011

• Venue

  IEEE Transactions on Knowledge and Data Engineering

• Publication date

  2011-11-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/TKDE.2011.59
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Classification and regression trees

  2012cited by this paper
• Warning: statistical benchmarking is addictive. Kicking the habit in machine learning

  2010cited by this paper
• Quantification and semi-supervised classification methods for handling changes in class distribution

  2009cited by this paper
• Measuring classifier performance: a coherent alternative to the area under the ROC curve

  2009cited by this paper
• Workshop summary: The fourth workshop on evaluation methods for machine learning

  2009cited by this paper
• Meta-Learning

  2008cited by this paper
• Between Classification-Error Approximation and Weighted Least-Squares Learning

  2008cited by this paper
• Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis

  2008cited by this paper
• Statistical Methods in the Atmospheric Sciences

  2007cited by this paper
• Knowledge and Information Systems

  2007cited by this paper
• Cost curves: An improved method for visualizing classifier performance

  2006cited by this paper
• Machine Learning an Experimental Science (Revisited)

  2006cited by this paper
• The relationship between Precision-Recall and ROC curves

  2006cited by this paper
• Influence of cultivation temperature on the ligninolytic activity of selected fungal strains

  2006cited by this paper
• Subclass discriminant analysis

  2006cited by this paper
• An introduction to ROC analysis

  2006cited by this paper
• Where are linear feature extraction methods applicable?

  2005cited by this paper
• Machine learning as an experimental science

  2004cited by this paper
• Properties and Benefits of Calibrated Classifiers

  2004cited by this paper
• Γ and B

  2004cited by this paper
• Graphical methods for classifier performance evaluation

  2003cited by this paper
• The Foundations of Cost-Sensitive Learning

  2001cited by this paper
• Classification and Regression Trees

  2000cited by this paper
• Bisiness Focused Evaluation Methods: A Case Study

  1999cited by this paper
• Three-way ROCs

  1999cited by this paper
• MetaCost: a general method for making classifiers cost-sensitive

  1999cited by this paper
• Comparing classifiers when the misallocation costs are uncertain

  1999cited by this paper
• Data Mining for Direct Marketing: Problems and Solutions

  1998cited by this paper
• The Case against Accuracy Estimation for Comparing Induction Algorithms

  1998cited by this paper
• The use of the area under the ROC curve in the evaluation of machine learning algorithms

  1997cited by this paper
• Regression Using Classification Algorithms

  1997cited by this paper
• Reliability Diagrams for Multicategory Probabilistic Forecasts

  1997cited by this paper
• Data mining

  1997cited by this paper
• The Lack of A Priori Distinctions Between Learning Algorithms

  1996cited by this paper
• Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid

  1996cited by this paper
• A Conservation Law for Generalization Performance

  1994cited by this paper
• The attributes diagram A geometrical framework for assessing the quality of probability forecasts

  1986cited by this paper
• A New Vector Partition of the Probability Score

  1973cited by this paper
• VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY

  1950cited by this paper

• An evidential reasoning-based information fusion method for fault diagnosis of ship rudder

  2025cites this paper
• Prediction of High-Risk Cardiac Arrhythmia Based on Optimized Deep Active Learning

  2025cites this paper
• Optimized Active Fuzzy Deep Federated Learning for predicting autism spectrum disorder

  2025cites this paper
• Precision weed detection and mapping in vegetables using deep learning

  2025cites this paper
• Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints

  2025cites this paper
• Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest

  2025cites this paper
• Data-Centric Solutions for Addressing Big Data Veracity with Class Imbalance, High Dimensionality, and Class Overlapping

  2024cites this paper
• Exploring the semi-supervised learning for weed detection in wheat

  2024cites this paper
• Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data

  2024cites this paper
• Efficient crop segmentation net and novel weed detection method

  2024cites this paper
• Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

  2023cites this paper
• Evaluating Probabilistic Classifiers: The Triptych

  2023cites this paper
• Anemia detection through non-invasive analysis of lip mucosa images

  2023cites this paper
• Predicting the strengths of date fiber reinforced concrete subjected to elevated temperature using artificial neural network, and Weibull distribution

  2023cites this paper
• Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric

  2023cites this paper
• Anomaly detection

  2022cites this paper
• PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics

  2022cites this paper
• Metrics for Measuring Error Extents of Machine Learning Classifiers

  2022cites this paper
• In silico prediction of mosquito repellents for clothing application

  2022cites this paper
• Bi-criteria simulated annealing for the curriculum-based course timetabling problem with robustness approximation

  2022cites this paper
• A novel approach for discretizing continuous attributes based on tree ensemble and moment matching optimization

  2022cites this paper
• How to design the fair experimental classifier evaluation

  2021cites this paper
• Classification techniques in breast cancer diagnosis: A systematic literature review

  2021cites this paper
• Pattern Recognition

  2021cites this paper
• Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging

  2021cites this paper
• Application of BigML in the Classification Evaluation of Top Coal Caving

  2021cites this paper
• Beyond Average Performance - exploring regions of deviating performance for black box classification models

  2021cites this paper
• A novel dissimilarity metric based on feature‐to‐feature scatter frequencies for clustering‐based feature selection in biomedical data

  2021cites this paper
• Predicting technical debt from commit contents: reproduction and extension with automated feature selection

  2020cites this paper
• Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

  2020cites this paper
• PHOC Descriptor Applied for Mammography Classification

  2020cites this paper
• Changes in artefact-centric business process instances and their correctness prediction

  2020cites this paper
• DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets

  2020influential citation
• Prevalence, Contents and Automatic Detection of KL-SATD

  2020cites this paper
• In Opinion Holders’ Shoes: Modeling Cumulative Influence for View Change in Online Argumentation

  2020cites this paper
• Bounded–abstaining classification for breast tumors in imbalanced ultrasound images

  2020cites this paper
• preciseTAD: A machine learning framework for precise 3D domain boundary prediction at base-level resolution

  2020cites this paper
• F-measure curves: A tool to visualize classifier performance under imbalance

  2020cites this paper
• Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method

  2020cites this paper
• Systematic mapping study of data mining–based empirical studies in cardiology

  2019cites this paper
• BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification

  2019cites this paper
• Deep Learning – Based Models for Drug-Drug Interactions Extraction in the Current Biomedical Literature

  2019cites this paper
• Validation strategies for target prediction methods

  2019cites this paper
• Cumulative ROC curves for discriminating three or more ordinal outcomes with cutpoints on a shared continuous measurement scale

  2019cites this paper
• Guiding Search in Relational Pathfinding-based Concept Discovery via Bivariate Statistical Methods

  2019cites this paper
• A systematic literature review and classification of knowledge discovery in traditional medicine

  2019cites this paper
• Imbalanced Classification with Multiple Classes

  2018cites this paper
• Evaluation of fractal dimension effectiveness for damage detection in retinal background

  2018cites this paper
• Individual Morphological Brain Network Construction Based on Multivariate Euclidean Distances Between Brain Regions

  2018cites this paper
• F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data

  2018cites this paper
• Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach

  2018cites this paper
• Data Level Preprocessing Methods

  2018cites this paper
• Intelligent mining of large-scale bio-data: Bioinformatics applications

  2018cites this paper
• Fundus image analysis for automatic screening of ophthalmic pathologies.

  2018cites this paper
• Performance Comparison of Classification Algorithms for Medical Diagnosis

  2018cites this paper
• Knowledge discovery in cardiology: A systematic literature review

  2017cites this paper
• Prototype selection to improve monotonic nearest neighbor

  2017cites this paper
• Evaluating and Comparing Classifiers: Review, Some Recommendations and Limitations

  2017cites this paper
• On the Noise Resilience of Ranking Measures

  2016cites this paper
• Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction

  2016cites this paper
• A Metric for Measuring Customer Turnover Prediction Models

  2016cites this paper
• Performance metrics for personalized program guides

  2016cites this paper
• Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms

  2016cites this paper
• Binarised regression tasks: methods and evaluation metrics

  2016cites this paper
• A REVIEW ON PREDICTIVE ANALYTICS IN DATA MINING

  2016cites this paper
• Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

  2016cites this paper
• Review of Decision Tree Algorithm: Big Data Analytics

  2015cites this paper
• Exploring Low Cost Laser Sensors to Identify Flying Insect Species

  2015cites this paper
• Setting Parameters for Support Vector Machines using Transfer Learning

  2015cites this paper
• A direct measure of discriminant and characteristic capability for classifier building and assessment

  2015cites this paper
• Dealing with the evaluation of supervised classification algorithms

  2015cites this paper
• Visualization of Tradeoff in Evaluation: from Precision-Recall & PN to LIFT, ROC & BIRD

  2015cites this paper
• Feature Reduction Using Ensemble Approach

  2015cites this paper
• Class imbalance revisited: a new experimental setup to assess the performance of treatment methods

  2015influential citation
• Exploring Low Cost Laser Sensors to Identify Flying Insect Species

  2015cites this paper
• Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity

  2015cites this paper
• A Review On Evaluation Metrics For Data Classification Evaluations

  2015cites this paper
• Survey on Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models

  2015cites this paper
• Modeling Student Performance in Higher Education Using Data Mining

  2014cites this paper
• Automatic extraction of definitions

  2014cites this paper
• An Empirical Evaluation of Ranking Measures With Respect to Robustness to Noise

  2014cites this paper
• Holistic Measures for Evaluating Prediction Models in Smart Grids

  2014cites this paper
• Knowledge discovery in medicine: Current issue and future trend

  2014cites this paper
• A bias correction function for classification performance assessment in two-class imbalanced problems

  2014cites this paper
• Accurate prediction of AD patients using cortical thickness networks

  2013cites this paper
• An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

  2013cites this paper
• A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models

  2013cites this paper
• Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting

  2013cites this paper
• Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article

  2013cites this paper
• An efficient classification approach for large-scale mobile ubiquitous computing

  2013cites this paper
• A New Strategy of Cost-Free Learning in the Class Imbalance Problem

  2013cites this paper
• Extending features for multilabel classification with swarm biclustering

  2013cites this paper
• A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

  2013cites this paper
• Business-Oriented Data Analytics: Theory and Case Studies

  2013cites this paper
• Information-theoretic Measures for Objective Evaluation of Classifications

  2012cites this paper
• Genetic generation of fuzzy knowledge bases: new perspectives

  2012cites this paper
• The AUK: A simple alternative to the AUC

  2012cites this paper
• A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss C` Esar Ferri

  2012cites this paper
• A unified view of performance metrics: translating threshold choice into expected classification loss

  2012cites this paper
• Multi-classifier System for Sentiment Analysis and Opinion Mining

  2012cites this paper