OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7344, kappa: 0.464, kb_relative_information_score: 960.0386, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 15.1848, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7657, kappa: 0.5288, kb_relative_information_score: 1356.5174, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7934, kappa: 0.5834, kb_relative_information_score: 1724.3496, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7728, scimark_benchmark: 1728.4686, usercpu_time_millis: 4262.964, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 4261.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1674.4711, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7538, scimark_benchmark: 2139.0357, usercpu_time_millis: 3250.353, usercpu_time_millis_testing: 2.269, usercpu_time_millis_training: 3248.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7797, kappa: 0.5555, kb_relative_information_score: 1322.755, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8075, scimark_benchmark: 1745.0687, usercpu_time_millis: 2457.762, usercpu_time_millis_testing: 2.92, usercpu_time_millis_training: 2454.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8034, kappa: 0.6034, kb_relative_information_score: 1595.3747, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7602, scimark_benchmark: 1741.9508, usercpu_time_millis: 2171.758, usercpu_time_millis_testing: 2.158, usercpu_time_millis_training: 2169.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7858, kappa: 0.5678, kb_relative_information_score: 1434.6997, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1730.7008, usercpu_time_millis: 2043.254, usercpu_time_millis_testing: 2.513, usercpu_time_millis_training: 2040.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7512, kappa: 0.4981, kb_relative_information_score: 1252.6732, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8249, scimark_benchmark: 1743.2411, usercpu_time_millis: 2036.164, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 2033.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1600.7547, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7569, scimark_benchmark: 1724.4096, usercpu_time_millis: 1807.93, usercpu_time_millis_testing: 3.192, usercpu_time_millis_training: 1804.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7722, kappa: 0.5402, kb_relative_information_score: 1284.7819, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1739.825, usercpu_time_millis: 1805.715, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 1803.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7764, kappa: 0.5489, kb_relative_information_score: 1364.1471, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1738.4534, usercpu_time_millis: 1400.885, usercpu_time_millis_testing: 2.454, usercpu_time_millis_training: 1398.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1676.3917, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.75, scimark_benchmark: 1724.8648, usercpu_time_millis: 1188.184, usercpu_time_millis_testing: 2.237, usercpu_time_millis_training: 1185.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8117, kappa: 0.6202, kb_relative_information_score: 1660.2609, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7485, scimark_benchmark: 1751.5819, usercpu_time_millis: 914.163, usercpu_time_millis_testing: 2.446, usercpu_time_millis_training: 911.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1196.3619, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1719.4427, usercpu_time_millis: 838.076, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 836.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7779, kappa: 0.5517, kb_relative_information_score: 1219.7829, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1728.4686, usercpu_time_millis: 518.291, usercpu_time_millis_testing: 2.408, usercpu_time_millis_training: 515.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1641.1142, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7646, scimark_benchmark: 1748.3127, usercpu_time_millis: 266.363, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 265.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1269, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1720.8381, usercpu_time_millis: 8.336, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 7.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1263, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1720.9479, usercpu_time_millis: 9.54, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 8.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.143, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1747.9158, usercpu_time_millis: 6.205, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 5.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1677.3296, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1719.4241, usercpu_time_millis: 7981.805, usercpu_time_millis_testing: 4.344, usercpu_time_millis_training: 7977.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1649.1889, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7546, scimark_benchmark: 1710.815, usercpu_time_millis: 6293.694, usercpu_time_millis_testing: 6.02, usercpu_time_millis_training: 6287.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1608.5159, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7603, scimark_benchmark: 1734.392, usercpu_time_millis: 5984.538, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 5980.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.787, kappa: 0.5703, kb_relative_information_score: 1461.2209, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7849, scimark_benchmark: 1725.3223, usercpu_time_millis: 4473.649, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 4471.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8023, kappa: 0.6013, kb_relative_information_score: 1550.1608, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7669, scimark_benchmark: 1740.395, usercpu_time_millis: 4360.794, usercpu_time_millis_testing: 3.348, usercpu_time_millis_training: 4357.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.805, kappa: 0.6067, kb_relative_information_score: 1664.3156, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1727.1069, usercpu_time_millis: 3125.86, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 3123.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1686.612, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1738.846, usercpu_time_millis: 2516.904, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 2515.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8054, kappa: 0.6075, kb_relative_information_score: 1642.8976, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 2012.1335, usercpu_time_millis: 1795.707, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 1794.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7807, kappa: 0.5574, kb_relative_information_score: 1392.9001, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1718.9758, usercpu_time_millis: 1758.176, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 1756.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7508, kappa: 0.4974, kb_relative_information_score: 1275.4541, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8222, scimark_benchmark: 1721.345, usercpu_time_millis: 1248.09, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 1246.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.778, kappa: 0.5521, kb_relative_information_score: 1380.5675, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992, scimark_benchmark: 1733.4112, usercpu_time_millis: 1194.055, usercpu_time_millis_testing: 2.248, usercpu_time_millis_training: 1191.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.792, kappa: 0.5805, kb_relative_information_score: 1437.2051, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7855, scimark_benchmark: 1717.2815, usercpu_time_millis: 1095.289, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 1093.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7985, kappa: 0.5934, kb_relative_information_score: 1453.8512, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7989, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1723.5031, usercpu_time_millis: 909.728, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 905.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8075, kappa: 0.6116, kb_relative_information_score: 1448.7764, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.808, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7702, scimark_benchmark: 1714.6802, usercpu_time_millis: 572.522, usercpu_time_millis_testing: 3.52, usercpu_time_millis_training: 569.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7373, kappa: 0.473, kb_relative_information_score: 1091.3678, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7395, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8562, scimark_benchmark: 1730.7642, usercpu_time_millis: 513.98, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 512.744,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6822, kappa: 0.3589, kb_relative_information_score: 713.1218, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6843, predictive_accuracy: 0.6849, prior_entropy: 0.9948, recall: 0.6849, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.0319, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7242, kappa: 0.4435, kb_relative_information_score: 765.5673, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7257, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7347, kappa: 0.4646, kb_relative_information_score: 956.5069, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.0319, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7363, kappa: 0.4694, kb_relative_information_score: 1190.6397, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.743, kappa: 0.4814, kb_relative_information_score: 1030.6781, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7818, kappa: 0.5597, kb_relative_information_score: 1429.0194, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1833.1288, usercpu_time_millis: 4237.087, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 4234.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7316, kappa: 0.4583, kb_relative_information_score: 878.4645, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 13.831, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7914, kappa: 0.5792, kb_relative_information_score: 1508.0621, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7777, scimark_benchmark: 1840.6995, usercpu_time_millis: 3230.519, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 3228.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.0319, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1552.7026, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7661, scimark_benchmark: 1846.6923, usercpu_time_millis: 2602.811, usercpu_time_millis_testing: 3.039, usercpu_time_millis_training: 2599.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8088, kappa: 0.6143, kb_relative_information_score: 1660.0663, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7516, scimark_benchmark: 1849.8294, usercpu_time_millis: 876.661, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 874.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7744, kappa: 0.5449, kb_relative_information_score: 1307.3771, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1844.4224, usercpu_time_millis: 807.036, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 804.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1673.4193, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556, scimark_benchmark: 1849.7595, usercpu_time_millis: 729.399, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 728.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1474.7122, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1837.1902, usercpu_time_millis: 641.915, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 639.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7744, kappa: 0.5448, kb_relative_information_score: 1241.6207, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8122, scimark_benchmark: 1845.3986, usercpu_time_millis: 560.077, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 558.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.763, kappa: 0.5218, kb_relative_information_score: 1101.514, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8281, scimark_benchmark: 1821.405, usercpu_time_millis: 500.837, usercpu_time_millis_testing: 2.225, usercpu_time_millis_training: 498.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7847, kappa: 0.5657, kb_relative_information_score: 1426.5012, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7905, scimark_benchmark: 1820.5148, usercpu_time_millis: 384.377, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 383.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7773, kappa: 0.5507, kb_relative_information_score: 1177.9273, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7777, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8126, scimark_benchmark: 1853.9121, usercpu_time_millis: 379.255, usercpu_time_millis_testing: 2.532, usercpu_time_millis_training: 376.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7501, kappa: 0.4957, kb_relative_information_score: 985.0829, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7364, kappa: 0.4697, kb_relative_information_score: 839.6257, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8719, scimark_benchmark: 1824.4185, usercpu_time_millis: 155.906, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 154.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8059, kappa: 0.6086, kb_relative_information_score: 1681.6284, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1851.3986, usercpu_time_millis: 150.713, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 149.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7587, kappa: 0.5131, kb_relative_information_score: 1016.5859, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1836.0792, usercpu_time_millis: 133.008, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 131.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.785, kappa: 0.5663, kb_relative_information_score: 1209.9998, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1847.0385, usercpu_time_millis: 83.28, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 81.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 863.112, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1840.8272, usercpu_time_millis: 81.494, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 80.662,

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