Programs for machine learning, etc.
| Pyriel-1.0.tar.gz |
Python implementation of the PRIE rule learning system described in PRIE: A System for Generating Rulelists to Maximize ROC Performance |
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| ROC_algs-1.0.tar.gz | ROC algorithms described in the paper ROC Graphs: Notes and Practical Considerations for Researchers | |
| ROCCH-2.2.tar.gz | Perl programs for constructing the ROC Convex Hull | |
| rename_papers | Perl script to rename PDF files based on the title found within each paper | |
| ROC_from_c4.5 | Simple Perl script to generate an ROC curve from a C4.5 tree | |
| Statistics::LTU | Perl module to do linear threshold unit learning and testing | |
| AI::Calibrate | Perl module to do classifier calibration based on the Pool Adjacent Violators algorithm | |
| generate_test_patterns | Program
to generate example sets from two-dimensional patterns with varying
degrees of complexity (linear, axis parallel, parabola, disjunctive,
etc.) Used in the paper Data Mining with Cellular Automata. |
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| draw_tree_lines | Program to generate the decision surfaces created by a decision tree on a two-dimensional input problem. Works with output from both C4.5 and J48 (Weka) programs. |
