OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 928.2662, mean_absolute_error: 0.393, 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: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8789, scimark_benchmark: 1850.2875, usercpu_time_millis: 68.406, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 67.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8005, kappa: 0.5976, kb_relative_information_score: 1370.8456, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1853.454, usercpu_time_millis: 42.977, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 41.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0509, 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: 1849.6074, usercpu_time_millis: 9.303, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 7.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0922, 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: 1849.8294, usercpu_time_millis: 8.456, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 7.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1507, 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: 1850.3603, usercpu_time_millis: 5.581, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 4.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0639, 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: 1949.1656, usercpu_time_millis: 5.713, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 4.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7452, kappa: 0.4859, kb_relative_information_score: 813.8766, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7455, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8667, scimark_benchmark: 1961.9231, usercpu_time_millis: 5.65, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.759, kappa: 0.5141, kb_relative_information_score: 1249.6276, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1855.3171, usercpu_time_millis: 253.086, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 252.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1625.8139, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1834.0157, usercpu_time_millis: 5312.101, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 5307.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7604, kappa: 0.5166, kb_relative_information_score: 1243.2327, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1833.7131, usercpu_time_millis: 994.107, usercpu_time_millis_testing: 1.966, usercpu_time_millis_training: 992.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7535, kappa: 0.5028, kb_relative_information_score: 1159.5587, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8397, scimark_benchmark: 1821.1368, usercpu_time_millis: 637.947, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 636.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7842, kappa: 0.5647, kb_relative_information_score: 1155.68, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1935.445, usercpu_time_millis: 267.063, usercpu_time_millis_testing: 2.448, usercpu_time_millis_training: 264.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.803, kappa: 0.6028, kb_relative_information_score: 1795.3554, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1757.5396, usercpu_time_millis: 5419.358, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 5416.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7771, kappa: 0.5502, kb_relative_information_score: 1448.8816, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1829.0028, usercpu_time_millis: 4097.768, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 4095.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7975, kappa: 0.5916, kb_relative_information_score: 1519.563, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7724, scimark_benchmark: 1896.3543, usercpu_time_millis: 3476.083, usercpu_time_millis_testing: 3.422, usercpu_time_millis_training: 3472.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7864, kappa: 0.5691, kb_relative_information_score: 1518.4693, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1757.7121, usercpu_time_millis: 1612.366, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 1610.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1448.7216, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1758.5475, usercpu_time_millis: 282.018, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 280.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7743, kappa: 0.5445, kb_relative_information_score: 1289.8361, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8112, scimark_benchmark: 1885.5336, usercpu_time_millis: 1573.008, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 1571.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7795, kappa: 0.5553, kb_relative_information_score: 1373.5688, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1935.1114, usercpu_time_millis: 434.815, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 433.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7809, kappa: 0.5579, kb_relative_information_score: 1366.2942, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1935.7387, usercpu_time_millis: 153.724, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 152.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1478.3402, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1969.4083, usercpu_time_millis: 559.467, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 557.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.6006, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1950.3004, usercpu_time_millis: 4.64, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 3.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7908, kappa: 0.5781, kb_relative_information_score: 1190.9088, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8002, scimark_benchmark: 1939.0948, usercpu_time_millis: 36.226, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 34.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7948, kappa: 0.5861, kb_relative_information_score: 1529.6547, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7739, scimark_benchmark: 1824.6933, usercpu_time_millis: 6828.956, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 6825.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7964, kappa: 0.5894, kb_relative_information_score: 1608.1331, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7718, scimark_benchmark: 1771.6673, usercpu_time_millis: 12026.831, usercpu_time_millis_testing: 4.957, usercpu_time_millis_training: 12021.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7797, kappa: 0.5554, kb_relative_information_score: 1369.521, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7807, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1741.401, usercpu_time_millis: 3124.196, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 3121.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7946, kappa: 0.5856, kb_relative_information_score: 1555.106, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7703, scimark_benchmark: 1770.2264, usercpu_time_millis: 3107.572, usercpu_time_millis_testing: 1.969, usercpu_time_millis_training: 3105.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 1424.5258, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7766, scimark_benchmark: 1723.1219, usercpu_time_millis: 1413.141, usercpu_time_millis_testing: 4.9, usercpu_time_millis_training: 1408.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7955, kappa: 0.5875, kb_relative_information_score: 1524.0855, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7959, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7738, scimark_benchmark: 1840.0704, usercpu_time_millis: 1411.057, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 1409.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.774, kappa: 0.544, kb_relative_information_score: 1337.3285, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1831.7402, usercpu_time_millis: 1295.305, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 1293.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7974, kappa: 0.5915, kb_relative_information_score: 1412.8312, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1729.3908, usercpu_time_millis: 1050.871, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 1047.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7972, kappa: 0.5908, kb_relative_information_score: 1556.2115, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.771, scimark_benchmark: 1743.2086, usercpu_time_millis: 569.212, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 568.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7896, kappa: 0.5755, kb_relative_information_score: 1380.2765, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1829.6641, usercpu_time_millis: 106.657, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 105.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7599, kappa: 0.5156, kb_relative_information_score: 1098.8312, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8316, scimark_benchmark: 1779.2361, usercpu_time_millis: 35.721, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 35.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2628, mean_absolute_error: 0.4965, 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: 1761.7387, usercpu_time_millis: 6.954, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 5.921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1644.8996, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759, scimark_benchmark: 1848.7762, usercpu_time_millis: 5772.217, usercpu_time_millis_testing: 2.549, usercpu_time_millis_training: 5769.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1620.7067, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1848.7762, usercpu_time_millis: 5365.837, usercpu_time_millis_testing: 3.482, usercpu_time_millis_training: 5362.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1572.8865, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1844.8764, usercpu_time_millis: 5237.494, usercpu_time_millis_testing: 2.826, usercpu_time_millis_training: 5234.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8014, kappa: 0.5993, kb_relative_information_score: 1626.4035, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1846.3057, usercpu_time_millis: 5007.007, usercpu_time_millis_testing: 2.982, usercpu_time_millis_training: 5004.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7947, kappa: 0.5858, kb_relative_information_score: 1543.636, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7706, scimark_benchmark: 1836.6789, usercpu_time_millis: 3772.343, usercpu_time_millis_testing: 3.188, usercpu_time_millis_training: 3769.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7811, kappa: 0.5583, kb_relative_information_score: 1403.366, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 2108.2671, usercpu_time_millis: 3660.684, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 3658.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7875, kappa: 0.5714, kb_relative_information_score: 1436.4951, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7867, scimark_benchmark: 1858.1494, usercpu_time_millis: 2739.14, usercpu_time_millis_testing: 3.127, usercpu_time_millis_training: 2736.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7958, kappa: 0.588, kb_relative_information_score: 1572.901, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7962, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1831.1542, usercpu_time_millis: 2408.866, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 2407.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7516, kappa: 0.499, kb_relative_information_score: 1270.1771, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8241, scimark_benchmark: 1851.8567, usercpu_time_millis: 2392.777, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 2390.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7676, kappa: 0.5311, kb_relative_information_score: 1289.7547, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8153, scimark_benchmark: 1723.4443, usercpu_time_millis: 2147.807, usercpu_time_millis_testing: 2.189, usercpu_time_millis_training: 2145.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8085, kappa: 0.6137, kb_relative_information_score: 1463.483, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7683, scimark_benchmark: 1850.2875, usercpu_time_millis: 1276.609, usercpu_time_millis_testing: 5.622, usercpu_time_millis_training: 1270.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1486.8227, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1861.7817, usercpu_time_millis: 1164.769, usercpu_time_millis_testing: 4.12, usercpu_time_millis_training: 1160.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7838, kappa: 0.5639, kb_relative_information_score: 1401.8957, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7927, scimark_benchmark: 1834.1796, usercpu_time_millis: 1218.437, usercpu_time_millis_testing: 2.348, usercpu_time_millis_training: 1216.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.788, kappa: 0.5724, kb_relative_information_score: 1411.3557, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7847, scimark_benchmark: 1857.1082, usercpu_time_millis: 986.014, usercpu_time_millis_testing: 3.502, usercpu_time_millis_training: 982.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7472, kappa: 0.4906, kb_relative_information_score: 1243.5558, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8315, scimark_benchmark: 1845.7061, usercpu_time_millis: 1080.581, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 1079.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1554.4735, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7611, scimark_benchmark: 1853.9121, usercpu_time_millis: 861.168, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 858.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7715, kappa: 0.539, kb_relative_information_score: 1267.242, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7718, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8151, scimark_benchmark: 1774.3437, usercpu_time_millis: 957.696, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 955.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.751, kappa: 0.4977, kb_relative_information_score: 1267.521, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288, scimark_benchmark: 1835.0844, usercpu_time_millis: 943.336, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 942.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1347.773, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1856.7258, usercpu_time_millis: 765.392, usercpu_time_millis_testing: 2.047, usercpu_time_millis_training: 763.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7637, kappa: 0.5231, kb_relative_information_score: 1243.6774, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8235, scimark_benchmark: 1854.4431, usercpu_time_millis: 697.035, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 695.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7809, kappa: 0.5579, kb_relative_information_score: 1419.0136, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7922, scimark_benchmark: 1967.4842, usercpu_time_millis: 552.764, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 551.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8078, kappa: 0.6123, kb_relative_information_score: 1512.4492, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1861.3236, usercpu_time_millis: 555.655, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 553.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7663, kappa: 0.5284, kb_relative_information_score: 1303.9724, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8156, scimark_benchmark: 1852.9259, usercpu_time_millis: 547.807, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 546.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7588, kappa: 0.5133, kb_relative_information_score: 1134.1579, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1855.0232, usercpu_time_millis: 543.935, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 542.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7876, kappa: 0.5715, kb_relative_information_score: 1341.546, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1842.6679, usercpu_time_millis: 543.803, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 541.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1077.7876, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8299, scimark_benchmark: 1849.8294, usercpu_time_millis: 492.807, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 490.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7829, kappa: 0.562, kb_relative_information_score: 1509.749, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.783, scimark_benchmark: 1734.1615, usercpu_time_millis: 600.541, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 599.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7924, kappa: 0.5814, kb_relative_information_score: 1342.5243, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903, scimark_benchmark: 1843.8137, usercpu_time_millis: 408.476, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 406.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1512.2209, mean_absolute_error: 0.3146, 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: 0.6338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7668, scimark_benchmark: 1852.8859, usercpu_time_millis: 334.959, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 333.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1614.0197, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1861.2508, usercpu_time_millis: 331.498, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 330.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7877, kappa: 0.5717, kb_relative_information_score: 1181.6586, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, scimark_benchmark: 1842.6464, usercpu_time_millis: 246.267, usercpu_time_millis_testing: 3.932, usercpu_time_millis_training: 242.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7518, kappa: 0.4995, kb_relative_information_score: 1103.4787, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8387, scimark_benchmark: 1842.1882, usercpu_time_millis: 382.017, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 379.99,

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