Task
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: 0.7185, 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: 938.0414,
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: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6948, kappa: 0.3683, kb_relative_information_score: 849.8988, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7082, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9128, scimark_benchmark: 1330.9699, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.637, kappa: 0.252, kb_relative_information_score: 1268.5681, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6368, predictive_accuracy: 0.6372, prior_entropy: 0.9792, recall: 0.6372, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1133, scimark_benchmark: 1284.2094, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
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: 1295.0797,
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: 933.1165,
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: 1293.6566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.63, kappa: 0.2325, kb_relative_information_score: 666.7594, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6323, predictive_accuracy: 0.6399, prior_entropy: 0.9792, recall: 0.6399, 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: 1339.9935, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 485.9121, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9667, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6944, kappa: 0.3661, kb_relative_information_score: 1089.7487, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6963, predictive_accuracy: 0.6998, prior_entropy: 0.9792, recall: 0.6998, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9105, scimark_benchmark: 1320.9026, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.633, kappa: 0.2408, kb_relative_information_score: 616.6414, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6417, predictive_accuracy: 0.6484, prior_entropy: 0.9792, recall: 0.6484, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9545, scimark_benchmark: 922.1419, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1284.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6956, kappa: 0.3687, kb_relative_information_score: 1087.2452, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6973, predictive_accuracy: 0.7009, prior_entropy: 0.9792, recall: 0.7009, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9119, scimark_benchmark: 1323.7742, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.6879, kappa: 0.3531, kb_relative_information_score: 1326.2964, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6964, predictive_accuracy: 0.6983, prior_entropy: 0.9792, recall: 0.6983, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9212, scimark_benchmark: 1368.9272, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.6871, kappa: 0.3509, kb_relative_information_score: 1949.5931, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6923, predictive_accuracy: 0.6955, prior_entropy: 0.9792, recall: 0.6955, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0732, scimark_benchmark: 929.0363, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
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: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6933, kappa: 0.3654, kb_relative_information_score: 848.012, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7074, predictive_accuracy: 0.7061, prior_entropy: 0.9792, recall: 0.7061, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9131, scimark_benchmark: 1331.5882, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6913, kappa: 0.3603, kb_relative_information_score: 1297.6632, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6914, predictive_accuracy: 0.695, prior_entropy: 0.9792, recall: 0.695, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9151, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.6932, kappa: 0.3649, kb_relative_information_score: 853.6221, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.706, predictive_accuracy: 0.7054, prior_entropy: 0.9792, recall: 0.7054, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9136, scimark_benchmark: 1337.0272, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.63, kappa: 0.2325, kb_relative_information_score: 666.7603, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6323, predictive_accuracy: 0.6399, prior_entropy: 0.9792, recall: 0.6399, 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: 1308.3432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6495, kappa: 0.2728, kb_relative_information_score: 537.6469, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6503, predictive_accuracy: 0.6561, prior_entropy: 0.9792, recall: 0.6561, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9593, scimark_benchmark: 1310.6407, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6547, kappa: 0.284, kb_relative_information_score: 1151.9677, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6596, predictive_accuracy: 0.6651, prior_entropy: 0.9792, recall: 0.6651, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.0362, scimark_benchmark: 1334.2813, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6296, kappa: 0.2319, kb_relative_information_score: 1433.7382, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6323, predictive_accuracy: 0.6399, prior_entropy: 0.9792, recall: 0.6399, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2179, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6345, kappa: 0.2476, kb_relative_information_score: 1367.001, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6347, predictive_accuracy: 0.6344, prior_entropy: 0.9792, recall: 0.6344, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6047, root_relative_squared_error: 1.2272, scimark_benchmark: 765.566, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6187, kappa: 0.2212, kb_relative_information_score: -184.5717, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6226, predictive_accuracy: 0.6167, prior_entropy: 0.9792, recall: 0.6167, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0055, scimark_benchmark: 1316.8289, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4319, kb_relative_information_score: -268.2643, mean_absolute_error: 0.5, 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: 1.0297, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0148, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6768, kappa: 0.3295, kb_relative_information_score: 1955.1228, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6789, predictive_accuracy: 0.6833, prior_entropy: 0.9792, recall: 0.6833, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1421, scimark_benchmark: 1297.2338, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.6385, kappa: 0.2502, kb_relative_information_score: 469.7607, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6408, predictive_accuracy: 0.6477, prior_entropy: 0.9792, recall: 0.6477, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9692, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6767, kappa: 0.3294, kb_relative_information_score: 1237.1604, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.682, predictive_accuracy: 0.6858, prior_entropy: 0.9792, recall: 0.6858, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9054, scimark_benchmark: 765.566, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.6847, kappa: 0.3471, kb_relative_information_score: 1083.3751, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6843, predictive_accuracy: 0.6877, prior_entropy: 0.9792, recall: 0.6877, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.937, scimark_benchmark: 1346.4887, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1311.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6297, kappa: 0.2319, kb_relative_information_score: 666.7823, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.632, predictive_accuracy: 0.6396, prior_entropy: 0.9792, recall: 0.6396, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9682, scimark_benchmark: 1329.8902, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.6401, kappa: 0.2537, kb_relative_information_score: 662.6647, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6441, predictive_accuracy: 0.6509, prior_entropy: 0.9792, recall: 0.6509, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9578, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1313.6093, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6281, kappa: 0.2284, kb_relative_information_score: 961.8896, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6294, predictive_accuracy: 0.637, prior_entropy: 0.9792, recall: 0.637, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.084, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6281, kappa: 0.2284, kb_relative_information_score: 961.8896, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6294, predictive_accuracy: 0.637, prior_entropy: 0.9792, recall: 0.637, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.084, scimark_benchmark: 1334.9657, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6324, kappa: 0.2375, kb_relative_information_score: 620.8131, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6349, predictive_accuracy: 0.6424, prior_entropy: 0.9792, recall: 0.6424, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9673, scimark_benchmark: 1334.8495,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6155, kappa: 0.206, kb_relative_information_score: 1154.2761, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6146, predictive_accuracy: 0.6167, prior_entropy: 0.9792, recall: 0.6167, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2566, scimark_benchmark: 1280.6952, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5219, kappa: 0.0243, kb_relative_information_score: 463.9629, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.5291, predictive_accuracy: 0.5592, prior_entropy: 0.9792, recall: 0.5592, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3475, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6672, kappa: 0.3112, kb_relative_information_score: 1310.1957, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6664, predictive_accuracy: 0.6698, prior_entropy: 0.9792, recall: 0.6698, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0036, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.6132, kappa: 0.205, kb_relative_information_score: 1400.3696, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6303, predictive_accuracy: 0.6372, prior_entropy: 0.9792, recall: 0.6372, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6024, root_relative_squared_error: 1.2226, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 1567.2127, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1989, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.6397, kappa: 0.2554, kb_relative_information_score: 1627.6933, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6508, predictive_accuracy: 0.6561, prior_entropy: 0.9792, recall: 0.6561, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1903, scimark_benchmark: 1341.2341, 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: 1330.0803,
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: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 44.5736, build_memory: 2090643422.8417, f_measure: 0.6864, kappa: 0.3509, kb_relative_information_score: 1370.3176, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6858, predictive_accuracy: 0.6889, prior_entropy: 0.9792, recall: 0.6889, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9237, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, build_cpu_time: 0.7271, build_memory: 661018150.4139, f_measure: 0.6922, kappa: 0.3625, kb_relative_information_score: 2057.8757, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6918, predictive_accuracy: 0.695, prior_entropy: 0.9792, recall: 0.695, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0673, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 0.2312, build_memory: 853129066.7542, f_measure: 0.6886, kappa: 0.3546, kb_relative_information_score: 2030.7473, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6887, predictive_accuracy: 0.6924, prior_entropy: 0.9792, recall: 0.6924, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0552, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, build_cpu_time: 0.1718, build_memory: 417263994.8792, f_measure: 0.6914, kappa: 0.3599, kb_relative_information_score: 2026.9826, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.6926, predictive_accuracy: 0.6964, prior_entropy: 0.9792, recall: 0.6964, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0416, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, build_cpu_time: 0.1062, build_memory: 1273979950.025, f_measure: 0.6819, kappa: 0.3402, kb_relative_information_score: 1923.8977, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.683, predictive_accuracy: 0.6872, prior_entropy: 0.9792, recall: 0.6872, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.045, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, build_cpu_time: 2.4878, build_memory: 1890594999.6472, f_measure: 0.698, kappa: 0.3738, kb_relative_information_score: 1207.7752, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7059, predictive_accuracy: 0.7073, prior_entropy: 0.9792, recall: 0.7073, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9052, scimark_benchmark: 946.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, build_cpu_time: 5.0411, build_memory: 353131383.1597, f_measure: 0.6972, kappa: 0.3723, kb_relative_information_score: 1209.8182, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7055, predictive_accuracy: 0.7068, prior_entropy: 0.9792, recall: 0.7068, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9043, scimark_benchmark: 944.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, build_cpu_time: 0.2255, build_memory: 158551686.9944, f_measure: 0.7078, kappa: 0.3945, kb_relative_information_score: 1432.8812, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.708, predictive_accuracy: 0.7109, prior_entropy: 0.9792, recall: 0.7109, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8952, scimark_benchmark: 942.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, build_cpu_time: 0.1189, build_memory: 221423438.4097, f_measure: 0.7054, kappa: 0.3897, kb_relative_information_score: 1433.2144, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7055, predictive_accuracy: 0.7085, prior_entropy: 0.9792, recall: 0.7085, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8966, scimark_benchmark: 938.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7081, kappa: 0.3953, kb_relative_information_score: 1431.2407, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7082, predictive_accuracy: 0.7111, prior_entropy: 0.9792, recall: 0.7111, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, build_cpu_time: 0.0331, build_memory: 81038248.5083, f_measure: 0.7035, kappa: 0.3858, kb_relative_information_score: 1421.8868, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7033, predictive_accuracy: 0.7063, prior_entropy: 0.9792, recall: 0.7063, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.905, scimark_benchmark: 943.7915,

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