Model Comparison Task

A Model Comparison Task is a model evaluation task that is a statistical comparison task that assesses relative performance between competing models.

• AKA: Classifier Comparison Task, Algorithm Comparison Task, Model Selection Task.
• Context:
  • It can (typically) require Performance Metrics for quantitative comparison.
  • It can (typically) employ Statistical Tests to determine significant differences.
  • It can (typically) use Evaluation Datasets separate from training datasets.
  • It can (typically) control Experimental Conditions for fair comparison.
  • ...
  • It can (often) involve Multiple Comparisons requiring correction methods.
  • It can (often) consider Computational Costs alongside predictive performance.
  • ...
  • It can range from being a Pairwise Model Comparison Task to being a Multi-Model Comparison Task, depending on its model count.
  • It can range from being a Single-Metric Model Comparison Task to being a Multi-Metric Model Comparison Task, depending on its evaluation dimensions.
  • It can range from being a Independent Model Comparison Task to being a Paired Model Comparison Task, depending on its data structure.
  • It can range from being a Offline Model Comparison Task to being an Online Model Comparison Task, depending on its evaluation timing.
  • ...
• Example(s):
  • Binary Classifier Comparison Tasks comparing logistic regression vs SVM.
  • Regression Model Comparison Tasks evaluating linear models vs tree-based models.
  • Deep Learning Architecture Comparison Tasks assessing CNNs vs transformers.
  • Ensemble Method Comparison Tasks testing bagging vs boosting.
  • ...
• Counter-Example(s):
  • Single Model Evaluation Tasks, which assess individual models without comparison.
  • Model Diagnosis Tasks, which analyze model behavior rather than relative performance.
  • Feature Selection Tasks, which optimize input variables rather than model choice.
• See: Model Evaluation Task, Statistical Comparison Task, Performance Metric, Cross-Validation Algorithm, 5x2 Cross-Validation Algorithm, Paired Comparison Algorithm, Bonferroni Correction.

---