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B.5.1 Simple roc examples on several datasets

Dense input file, dense computations, k-fold cross-validation experiment with 10 folds:
./afc roc in dense-train.csv csv num_folds 10 learner lr arghelp

Dense input files, dense computations, train/test experiment:

./afc roc in dense-train.csv csv testset dense-test.csv learner lr

Dense input files, sparse computations, train/test experiment:

./afc roc in dense-train.csv output rslt testset dense-test.csv learner lr

Sparse input file, sparse computations, k-fold cross-validation experiment with 10 folds:

./afc roc in spardat-train.txt:0.5+ num_folds 10 learner bc

It is possible to train on a spardat format dataset and test on a June format file:

./afc roc in spardat-train.txt:0.5+ testset june-test.inputs.ssv:june-test.outputs.ssv:rslt learner bc


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Next: B.5.2 Examples with various Up: B.5 Examples Previous: B.5 Examples   Contents
Copyright 2004 Paul Komarek, komarek@cmu.edu