Modules
A Perl module for constructing one or more decision trees from the training examples of multidimensional data and then using the tree(s) to classify new data.
Provides
in lib/Algorithm/DecisionTreeWithBagging.pm
in lib/Algorithm/DecisionTree.pm
in lib/Algorithm/DecisionTree.pm
in lib/Algorithm/DecisionTree.pm
in lib/Algorithm/DecisionTree.pm
in lib/Algorithm/DecisionTree.pm
Examples
- examples/README
- examples/README_for_CSV_files
- examples/README_for_dat_files
- examples/classify_by_asking_questions.pl
- examples/classify_test_data_in_a_file_numeric.pl
- examples/classify_test_data_in_a_file_symbolic.pl
- examples/construct_dt_and_classify_one_sample_case1.pl
- examples/construct_dt_and_classify_one_sample_case2.pl
- examples/construct_dt_and_classify_one_sample_case3.pl
- examples/construct_dt_and_classify_one_sample_case4.pl
- examples/construct_dt_for_heavytailed.pl
- examples/evaluate_training_data1.pl
- examples/evaluate_training_data2.pl
- examples/generate_training_and_test_data_numeric.pl
- examples/generate_training_and_test_data_symbolic.pl
- examples/heavytailed.csv
- examples/introspection_in_a_loop_interactive.pl
- examples/introspection_show_training_samples_at_all_nodes_direct_influence.pl
- examples/introspection_show_training_samples_to_nodes_influence_propagation.pl
- examples/out.txt
- examples/out4.csv
- examples/out4.dat
- examples/param_numeric.txt
- examples/param_numeric_extremely_overlapping_classes.txt
- examples/param_numeric_strongly_overlapping_classes.txt
- examples/param_symbolic.txt
- examples/stage3cancer.csv
- examples/stage3cancer_noquotes.csv
- examples/test4.csv
- examples/test4.dat
- examples/test4_no_class_labels.csv
- examples/test4_no_class_labels.dat
- examples/testdata.dat
- examples/training.csv
- examples/training.dat
- examples/training2.csv
- examples/training3.csv
- examples/training4.csv
- examples/training4.dat