OpenML
Supervised Classification on sensory

Supervised Classification on sensory

Task 4396 Supervised Classification sensory 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7047, kappa: 0.3888, kb_relative_information_score: 1557.8404, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7044, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6767, kappa: 0.3297, kb_relative_information_score: 690.7838, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6835, predictive_accuracy: 0.6868, prior_entropy: 0.9792, recall: 0.6868, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9305, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6728, kappa: 0.3223, kb_relative_information_score: 1104.9553, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6826, predictive_accuracy: 0.6851, prior_entropy: 0.9792, recall: 0.6851, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9325, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6317, kappa: 0.2362, kb_relative_information_score: 1462.9358, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6348, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 904.6764, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6825, kappa: 0.3415, kb_relative_information_score: 1071.4968, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6832, predictive_accuracy: 0.6873, prior_entropy: 0.9792, recall: 0.6873, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9253, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6853, kappa: 0.3481, kb_relative_information_score: 1468.4417, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6849, predictive_accuracy: 0.6884, prior_entropy: 0.9792, recall: 0.6884, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9354, scimark_benchmark: 932.2692, usercpu_time_millis: 6090, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6317, kappa: 0.2362, kb_relative_information_score: 1462.9358, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6348, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 944.1783, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6317, kappa: 0.2362, kb_relative_information_score: 1462.9358, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6348, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6739, kappa: 0.3243, kb_relative_information_score: 1103.2229, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6734, predictive_accuracy: 0.6773, prior_entropy: 0.9792, recall: 0.6773, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9213, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7047, kappa: 0.3888, kb_relative_information_score: 1557.8404, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7044, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6767, kappa: 0.3297, kb_relative_information_score: 690.7838, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6835, predictive_accuracy: 0.6868, prior_entropy: 0.9792, recall: 0.6868, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9305, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6728, kappa: 0.3223, kb_relative_information_score: 1104.9553, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6826, predictive_accuracy: 0.6851, prior_entropy: 0.9792, recall: 0.6851, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9325, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6317, kappa: 0.2362, kb_relative_information_score: 1462.9358, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6348, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 927.2882, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6825, kappa: 0.3415, kb_relative_information_score: 1071.4968, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6832, predictive_accuracy: 0.6873, prior_entropy: 0.9792, recall: 0.6873, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9253, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6853, kappa: 0.3481, kb_relative_information_score: 1468.4417, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6849, predictive_accuracy: 0.6884, prior_entropy: 0.9792, recall: 0.6884, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9354, scimark_benchmark: 938.4601, usercpu_time_millis: 6360, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 932.438, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6739, kappa: 0.3243, kb_relative_information_score: 1103.2229, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6734, predictive_accuracy: 0.6773, prior_entropy: 0.9792, recall: 0.6773, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9213, scimark_benchmark: 945.6228, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.6989, kappa: 0.3755, kb_relative_information_score: 1351.1325, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7012, predictive_accuracy: 0.7045, prior_entropy: 0.9792, recall: 0.7045, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8961, scimark_benchmark: 940.1221, usercpu_time_millis: 6390, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.6978, kappa: 0.373, kb_relative_information_score: 1357.0353, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7003, predictive_accuracy: 0.7036, prior_entropy: 0.9792, recall: 0.7036, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8959, scimark_benchmark: 859.5223, usercpu_time_millis: 3020, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7017, kappa: 0.3812, kb_relative_information_score: 1364.853, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7039, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8976, scimark_benchmark: 897.0978, usercpu_time_millis: 1340, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6928, kappa: 0.3626, kb_relative_information_score: 1340.3733, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6948, predictive_accuracy: 0.6984, prior_entropy: 0.9792, recall: 0.6984, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9048, scimark_benchmark: 944.235, usercpu_time_millis: 650, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6967, kappa: 0.3708, kb_relative_information_score: 1356.5689, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6986, predictive_accuracy: 0.7021, prior_entropy: 0.9792, recall: 0.7021, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9085, scimark_benchmark: 939.7241, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6323, kappa: 0.2373, kb_relative_information_score: 656.9202, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6346, predictive_accuracy: 0.642, prior_entropy: 0.9792, recall: 0.642, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9664, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6323, kappa: 0.2373, kb_relative_information_score: 656.9202, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6346, predictive_accuracy: 0.642, prior_entropy: 0.9792, recall: 0.642, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9664, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6323, kappa: 0.2373, kb_relative_information_score: 656.9202, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6346, predictive_accuracy: 0.642, prior_entropy: 0.9792, recall: 0.642, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9664, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6329, kappa: 0.2385, kb_relative_information_score: 657.4198, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6353, predictive_accuracy: 0.6427, prior_entropy: 0.9792, recall: 0.6427, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9663, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6361, kappa: 0.2453, kb_relative_information_score: 665.9985, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6397, predictive_accuracy: 0.6469, prior_entropy: 0.9792, recall: 0.6469, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9592, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4319, kb_relative_information_score: -0.4067, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.3423, predictive_accuracy: 0.5851, prior_entropy: 0.9792, recall: 0.5851, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4927, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.6296, kappa: 0.2317, kb_relative_information_score: 1289.5108, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6318, predictive_accuracy: 0.6394, prior_entropy: 0.9792, recall: 0.6394, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0891, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6322, kappa: 0.2374, kb_relative_information_score: 1322.9297, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6361, predictive_accuracy: 0.6436, prior_entropy: 0.9792, recall: 0.6436, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0863, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6339, kappa: 0.2405, kb_relative_information_score: 1330.7225, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6361, predictive_accuracy: 0.6434, prior_entropy: 0.9792, recall: 0.6434, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0857, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6437, kappa: 0.2609, kb_relative_information_score: 1367.0648, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.645, predictive_accuracy: 0.6514, prior_entropy: 0.9792, recall: 0.6514, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.545, root_relative_squared_error: 1.1061, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6853, kappa: 0.3481, kb_relative_information_score: 1468.4417, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6849, predictive_accuracy: 0.6884, prior_entropy: 0.9792, recall: 0.6884, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9354, scimark_benchmark: 1351.3088, usercpu_time_millis: 5200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1338.5214, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6739, kappa: 0.3243, kb_relative_information_score: 1103.2229, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6734, predictive_accuracy: 0.6773, prior_entropy: 0.9792, recall: 0.6773, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9213, scimark_benchmark: 1317.5348, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7047, kappa: 0.3888, kb_relative_information_score: 1557.8404, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7044, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6298, kappa: 0.2321, kb_relative_information_score: 666.6918, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6321, predictive_accuracy: 0.6398, prior_entropy: 0.9792, recall: 0.6398, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9682, scimark_benchmark: 1320.2063, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.6277, kappa: 0.2313, kb_relative_information_score: 1203.8205, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6269, predictive_accuracy: 0.6288, prior_entropy: 0.9792, recall: 0.6288, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1307, scimark_benchmark: 1346.0226, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6728, kappa: 0.3223, kb_relative_information_score: 1104.9553, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6826, predictive_accuracy: 0.6851, prior_entropy: 0.9792, recall: 0.6851, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9325, scimark_benchmark: 1339.6197, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6663, kappa: 0.3086, kb_relative_information_score: 1180.5321, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6658, predictive_accuracy: 0.67, prior_entropy: 0.9792, recall: 0.67, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9602, scimark_benchmark: 1313.8988, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6317, kappa: 0.2362, kb_relative_information_score: 1462.9358, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6348, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2138, scimark_benchmark: 1338.7159, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1296.9979, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6739, kappa: 0.3243, kb_relative_information_score: 1103.2229, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6734, predictive_accuracy: 0.6773, prior_entropy: 0.9792, recall: 0.6773, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9213, scimark_benchmark: 1325.6322, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7047, kappa: 0.3888, kb_relative_information_score: 1557.8404, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7044, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1339.7636, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6739, kappa: 0.3243, kb_relative_information_score: 1103.2229, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6734, predictive_accuracy: 0.6773, prior_entropy: 0.9792, recall: 0.6773, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9213, scimark_benchmark: 1360.8502, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6799, kappa: 0.3375, kb_relative_information_score: 1541.8151, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6792, predictive_accuracy: 0.6823, prior_entropy: 0.9792, recall: 0.6823, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 1344.4042, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6318, kappa: 0.2363, kb_relative_information_score: 624.6681, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6342, predictive_accuracy: 0.6417, prior_entropy: 0.9792, recall: 0.6417, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6845, kappa: 0.3455, kb_relative_information_score: 1003.7261, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6883, predictive_accuracy: 0.692, prior_entropy: 0.9792, recall: 0.692, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9213, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs