OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19118 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1274.7011, usercpu_time_millis: 11460, usercpu_time_millis_testing: 8270, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8144, kappa: 0.7967, kb_relative_information_score: 1617.2528, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8138, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377, scimark_benchmark: 1345.0202, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1308.6872, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1324.4002, usercpu_time_millis: 1890, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1365.0842, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 1342.9012, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 1367.3264, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1345.0034, usercpu_time_millis: 470, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1345.7919, usercpu_time_millis: 212610, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 210770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1331.0047, usercpu_time_millis: 11970, usercpu_time_millis_testing: 8230, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.7349, kappa: 0.7133, kb_relative_information_score: 1438.1291, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288, scimark_benchmark: 1318.6467, usercpu_time_millis: 6050, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1310.6554, usercpu_time_millis: 1930, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1347.6543, usercpu_time_millis: 197750, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 195970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1318.4315, usercpu_time_millis: 350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 1327.3335, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1342.2845, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1332.7986, usercpu_time_millis: 410, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1338.5214, usercpu_time_millis: 440, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1321.8321, usercpu_time_millis: 340, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1342.2845, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1319.4538, usercpu_time_millis: 390, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1347.1763, usercpu_time_millis: 360, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1322.3407, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1347.1763, usercpu_time_millis: 11110, usercpu_time_millis_testing: 7320, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1317.071, usercpu_time_millis: 10380, usercpu_time_millis_testing: 6300, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1324.6442, usercpu_time_millis: 205400, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 203560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1324.6442, usercpu_time_millis: 360, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8347, kappa: 0.8172, kb_relative_information_score: 1679.0139, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8348, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5578, scimark_benchmark: 1322.3407, usercpu_time_millis: 43130, usercpu_time_millis_testing: 37750, usercpu_time_millis_training: 5380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1347.6543, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1331.2559, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1339.4412, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1346.2927, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1327.5842, usercpu_time_millis: 9500, usercpu_time_millis_testing: 6470, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 946.9304, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 928.8135, usercpu_time_millis: 147470, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 146940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 943.1009, usercpu_time_millis: 2080, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 943.1009, usercpu_time_millis: 141100, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 140550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 941.3847, usercpu_time_millis: 620, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 974.2014, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 932.438, usercpu_time_millis: 10080, usercpu_time_millis_testing: 3440, usercpu_time_millis_training: 6640,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 931.771, usercpu_time_millis: 1920, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 941.6675, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 938.191, usercpu_time_millis: 500, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 931.771, usercpu_time_millis: 14860, usercpu_time_millis_testing: 7260, usercpu_time_millis_training: 7600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.7349, kappa: 0.7133, kb_relative_information_score: 1438.1291, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288, scimark_benchmark: 851.2074, usercpu_time_millis: 8070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8213, kappa: 0.8028, kb_relative_information_score: 1628.7561, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628, usercpu_time_millis: 14.981, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 14.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7909, kappa: 0.7717, kb_relative_information_score: 1570.1937, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7905, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, usercpu_time_millis: 38.979, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 38.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7273, kappa: 0.6989, kb_relative_information_score: 1433.1994, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7279, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, usercpu_time_millis: 9.407, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 8.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.0978, kappa: 0.0444, kb_relative_information_score: 201.2971, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0917, predictive_accuracy: 0.14, prior_entropy: 3.3219, recall: 0.14, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.3824, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8386, kappa: 0.8217, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8394, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972, usercpu_time_millis: 12.051, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 11.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8046, kappa: 0.7878, kb_relative_information_score: 1600.5206, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8052, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6515, usercpu_time_millis: 340.194, usercpu_time_millis_testing: 18.094, usercpu_time_millis_training: 322.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8174, kappa: 0.7967, kb_relative_information_score: 1617.2528, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8191, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377, usercpu_time_millis: 429.447, usercpu_time_millis_testing: 11.984, usercpu_time_millis_training: 417.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6326, kappa: 0.5939, kb_relative_information_score: 1235.5513, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6424, predictive_accuracy: 0.6345, prior_entropy: 3.3219, recall: 0.6345, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.9012, usercpu_time_millis: 29.257, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 29.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1584.8343, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6642, usercpu_time_millis: 13.189, usercpu_time_millis_testing: 2.521, usercpu_time_millis_training: 10.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1503.2652, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7265, usercpu_time_millis: 5.54, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 4.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7253, kappa: 0.6967, kb_relative_information_score: 1429.0164, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7247, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7789, usercpu_time_millis: 23.929, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 23.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8058, kappa: 0.7839, kb_relative_information_score: 1593.2003, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8089, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6574, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8087, kappa: 0.7889, kb_relative_information_score: 1602.6122, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.809, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498, usercpu_time_millis: 197.581, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 196.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8088, kappa: 0.7867, kb_relative_information_score: 1598.4291, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6532, usercpu_time_millis: 2.445, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8281, kappa: 0.81, kb_relative_information_score: 1642.3509, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8291, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6164, usercpu_time_millis: 9.06, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 7.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8028, kappa: 0.7844, kb_relative_information_score: 1594.2461, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.803, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.247,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs