Sha256: 1b3897019f2d22f96ea252edc7626a62a45302fe6728ae205f3bee94872023f3
Contents?: true
Size: 1.5 KB
Versions: 5
Compression:
Stored size: 1.5 KB
Contents
require_relative "setup.rb" class ValidationTest < MiniTest::Test def test_fminer_crossvalidation dataset = Dataset.from_csv_file "#{DATA_DIR}/hamster_carcinogenicity.csv" model = Model::LazarFminerClassification.create dataset#, features cv = ClassificationCrossValidation.create model p cv.accuracy p cv.weighted_accuracy assert cv.accuracy > 0.8 assert cv.weighted_accuracy > cv.accuracy, "Weighted accuracy (#{cv.weighted_accuracy}) larger than unweighted accuracy(#{cv.accuracy}) " end def test_classification_crossvalidation dataset = Dataset.from_csv_file "#{DATA_DIR}/hamster_carcinogenicity.csv" model = Model::LazarClassification.create dataset#, features cv = ClassificationCrossValidation.create model p cv.accuracy p cv.weighted_accuracy assert cv.accuracy > 0.7 assert cv.weighted_accuracy > cv.accuracy, "Weighted accuracy should be larger than unweighted accuracy." end def test_regression_crossvalidation dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.medi.csv" #dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.csv" model = Model::LazarRegression.create dataset cv = RegressionCrossValidation.create model p cv.rmse p cv.weighted_rmse p cv.mae p cv.weighted_mae `inkview #{cv.plot}` assert cv.rmse < 30, "RMSE > 30" assert cv.weighted_rmse < cv.rmse, "Weighted RMSE (#{cv.weighted_rmse}) larger than unweighted RMSE(#{cv.rmse}) " assert cv.mae < 12 assert cv.weighted_mae < cv.mae end end
Version data entries
5 entries across 5 versions & 1 rubygems
Version | Path |
---|---|
lazar-0.0.6 | test/validation.rb |
lazar-0.0.5 | test/validation.rb |
lazar-0.0.4 | test/validation.rb |
lazar-0.0.3 | test/validation.rb |
lazar-0.0.1 | test/validation.rb |