By Abraham Bagherjeiran

• 1 Planning
• 2 Experiments
  • 2.1 Clustering ROC Curves
  • 2.2 Classification of ROC Curves
  • 2.3 ROCDataset? Analysis
  • 2.4 Regression for Optimization
• 3 Reports
  • 3.1 Report on ROC Curve Analysis

1 Planning

• Research Plan
• Publication Plan
• MOBLImplementation Notes?

2 Experiments

Experiments for thesis research.

2.1 Clustering ROC Curves

Experiment performs clustering? on ROC curves Hausdorff Distance and Matching Distance. Clusters of ROC curves are compared to those using standard performance data. Results show Contingency Table?s for cluster information.

• ROCClustering Experiment

2.2 Classification of ROC Curves

Experiment uses Distance Matrix? to evaluate the Hausdorff and Matching Distance Function?s. Computes Contingency Table?s for predict? the dataset of a ROC curve given a set of Cross Validation folds.

• ROCClassification Experiment

2.3 ROCDataset? Analysis

See if we can use ROC curves as signatures to investigate properties of algorithms when applied to datasets.

• ROCDataset Analysis

2.4 Regression for Optimization

From several ROC, form a predictive model of the ROC space and investigate its use for optimization.

• Regression Error Analysis

3 Reports

3.1 Report on ROC Curve Analysis

Evaluation of distance functions for analyzing ROC curves. Report is here.