OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0784, 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: 1371.4853, usercpu_time_millis: 10.591, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 8.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1678.4995, mean_absolute_error: 0.2901, 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: 0.5843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1212.8351, usercpu_time_millis: 28588.085, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 28581.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7969, kappa: 0.5903, kb_relative_information_score: 1601.6534, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7707, scimark_benchmark: 1207.9026, usercpu_time_millis: 8195.238, usercpu_time_millis_testing: 2.994, usercpu_time_millis_training: 8192.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7918, kappa: 0.5799, kb_relative_information_score: 1552.2829, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7922, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7729, scimark_benchmark: 1206.9333, usercpu_time_millis: 4334.654, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 4332.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7976, kappa: 0.5918, kb_relative_information_score: 1587.7025, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7981, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1209.5554, usercpu_time_millis: 5333.983, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 5331.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7849, kappa: 0.5661, kb_relative_information_score: 1411.2277, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7856, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1172.1439, usercpu_time_millis: 2614.518, usercpu_time_millis_testing: 3.018, usercpu_time_millis_training: 2611.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1532.7049, mean_absolute_error: 0.3115, 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: 0.6276, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7672, scimark_benchmark: 1199.1397, usercpu_time_millis: 2285.564, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 2282.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7726, kappa: 0.5412, kb_relative_information_score: 1142.196, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8186, scimark_benchmark: 1212.9576, usercpu_time_millis: 771.262, usercpu_time_millis_testing: 3.292, usercpu_time_millis_training: 767.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7889, kappa: 0.5741, kb_relative_information_score: 1496.0957, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7811, scimark_benchmark: 1204.2515, usercpu_time_millis: 6811.146, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 6807.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1678.0212, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7566, scimark_benchmark: 1203.836, usercpu_time_millis: 4012.974, usercpu_time_millis_testing: 2.564, usercpu_time_millis_training: 4010.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1585.1438, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 1202.3375, usercpu_time_millis: 12072.302, usercpu_time_millis_testing: 7.261, usercpu_time_millis_training: 12065.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1529.1624, mean_absolute_error: 0.3123, 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: 0.6291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 1219.493, usercpu_time_millis: 3355.737, usercpu_time_millis_testing: 6.324, usercpu_time_millis_training: 3349.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7536, kappa: 0.5029, kb_relative_information_score: 1039.4122, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8423, scimark_benchmark: 1186.4006, usercpu_time_millis: 102.771, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 101.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1103.7817, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8367, scimark_benchmark: 1214.8049, usercpu_time_millis: 1164.212, usercpu_time_millis_testing: 2.497, usercpu_time_millis_training: 1161.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8032, kappa: 0.6031, kb_relative_information_score: 1729.8399, mean_absolute_error: 0.2819, 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: 0.5678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7567, scimark_benchmark: 1220.391, usercpu_time_millis: 19071.833, usercpu_time_millis_testing: 5.118, usercpu_time_millis_training: 19066.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7377, kappa: 0.4727, kb_relative_information_score: 862.2906, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8701, scimark_benchmark: 1217.9673, usercpu_time_millis: 230.718, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 228.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1374.4547, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8023, scimark_benchmark: 1209.6632, usercpu_time_millis: 8991.924, usercpu_time_millis_testing: 3.783, usercpu_time_millis_training: 8988.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1654.2121, mean_absolute_error: 0.2945, 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: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7485, scimark_benchmark: 1199.2262, usercpu_time_millis: 2451.063, usercpu_time_millis_testing: 4.766, usercpu_time_millis_training: 2446.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8139, kappa: 0.6247, kb_relative_information_score: 1551.5029, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9948, recall: 0.8142, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.755, scimark_benchmark: 1209.2062, usercpu_time_millis: 335.648, usercpu_time_millis_testing: 1.719, usercpu_time_millis_training: 333.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0174, 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: 1210.2881, usercpu_time_millis: 8.581, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 7.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 1112.8952, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8357, scimark_benchmark: 1211.1536, usercpu_time_millis: 203.519, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 202.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8055, kappa: 0.6076, kb_relative_information_score: 1453.7487, mean_absolute_error: 0.3232, 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: 0.651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1218.3688, usercpu_time_millis: 213.957, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 212.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7561, kappa: 0.508, kb_relative_information_score: 1344.3201, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.811, scimark_benchmark: 1213.1996, usercpu_time_millis: 8903.339, usercpu_time_millis_testing: 4.366, usercpu_time_millis_training: 8898.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7826, kappa: 0.5614, kb_relative_information_score: 1297.63, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7831, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1212.5451, usercpu_time_millis: 561.127, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 559.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0344, 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: 1217.8023, usercpu_time_millis: 11.906, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 10.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1622.9759, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1205.2887, usercpu_time_millis: 6129.974, usercpu_time_millis_testing: 3.018, usercpu_time_millis_training: 6126.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7862, kappa: 0.5687, kb_relative_information_score: 1364.2069, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1212.7998, usercpu_time_millis: 3246.368, usercpu_time_millis_testing: 4.699, usercpu_time_millis_training: 3241.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8084, kappa: 0.6137, kb_relative_information_score: 1752.0889, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7453, scimark_benchmark: 1195.9986, usercpu_time_millis: 4068.589, usercpu_time_millis_testing: 6.963, usercpu_time_millis_training: 4061.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8025, kappa: 0.6018, kb_relative_information_score: 1639.7502, mean_absolute_error: 0.2944, 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: 0.5931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1205.5702, usercpu_time_millis: 402.249, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 401.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.799, kappa: 0.5947, kb_relative_information_score: 1329.3179, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.799, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7837, scimark_benchmark: 1217.2222, usercpu_time_millis: 34.775, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 33.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1486, 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: 1200.0713, usercpu_time_millis: 5.641, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 4.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8076, kappa: 0.6121, kb_relative_information_score: 1735.977, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494, scimark_benchmark: 1208.494, usercpu_time_millis: 1626.369, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 1624.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8009, kappa: 0.5983, kb_relative_information_score: 1580.323, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634, scimark_benchmark: 1216.9382, usercpu_time_millis: 8774.154, usercpu_time_millis_testing: 4.949, usercpu_time_millis_training: 8769.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8054, kappa: 0.6077, kb_relative_information_score: 1746.4031, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7482, scimark_benchmark: 1183.7611, usercpu_time_millis: 2268.384, usercpu_time_millis_testing: 2.819, usercpu_time_millis_training: 2265.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1334, 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: 1211.2803, usercpu_time_millis: 7.918, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 6.537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1324.0055, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8098, scimark_benchmark: 1199.9744, usercpu_time_millis: 1236.506, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 1235.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 870.2591, mean_absolute_error: 0.4005, 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: 0.8067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1213.3366, usercpu_time_millis: 440.68, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 438.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.738, kappa: 0.4724, kb_relative_information_score: 792.0423, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8737, scimark_benchmark: 1221.5838, usercpu_time_millis: 148.199, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 146.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7917, kappa: 0.5799, kb_relative_information_score: 1497.0946, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1197.4014, usercpu_time_millis: 765.841, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 764.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8133, kappa: 0.6235, kb_relative_information_score: 1597.6853, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7528, scimark_benchmark: 1209.7244, usercpu_time_millis: 4467.948, usercpu_time_millis_testing: 7.308, usercpu_time_millis_training: 4460.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7929, kappa: 0.5821, kb_relative_information_score: 1511.2872, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1202.2706, usercpu_time_millis: 11633.291, usercpu_time_millis_testing: 5.167, usercpu_time_millis_training: 11628.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1620.9791, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7505, scimark_benchmark: 1209.7752, usercpu_time_millis: 4311.813, usercpu_time_millis_testing: 6.91, usercpu_time_millis_training: 4304.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7942, kappa: 0.5848, kb_relative_information_score: 1484.5286, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7769, scimark_benchmark: 1209.5942, usercpu_time_millis: 4384.698, usercpu_time_millis_testing: 4.636, usercpu_time_millis_training: 4380.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.793, kappa: 0.5824, kb_relative_information_score: 1613.5115, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7785, scimark_benchmark: 1188.0004, usercpu_time_millis: 6536.654, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 6534.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1579.421, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7628, scimark_benchmark: 1197.1533, usercpu_time_millis: 7026.489, usercpu_time_millis_testing: 4.17, usercpu_time_millis_training: 7022.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7946, kappa: 0.5857, kb_relative_information_score: 1561.859, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7952, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7695, scimark_benchmark: 1857.1082, usercpu_time_millis: 2775.72, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 2773.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1706.5202, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7462, scimark_benchmark: 1735.1637, usercpu_time_millis: 2732.636, usercpu_time_millis_testing: 4.878, usercpu_time_millis_training: 2727.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1449.1559, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7818, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7896, scimark_benchmark: 1852.9259, usercpu_time_millis: 2719.586, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 2718.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8133, kappa: 0.6236, kb_relative_information_score: 1588.2505, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1747.8213, usercpu_time_millis: 1438.63, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 1433.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7641, kappa: 0.5241, kb_relative_information_score: 1226.812, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.767, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1739.022, usercpu_time_millis: 1172.625, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 1170.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7866, kappa: 0.5694, kb_relative_information_score: 1370.734, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1857.1082, usercpu_time_millis: 1110.601, usercpu_time_millis_testing: 2.887, usercpu_time_millis_training: 1107.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1684.4758, mean_absolute_error: 0.2892, 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: 0.5825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1852.4707, usercpu_time_millis: 1079.895, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 1078.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8084, kappa: 0.6136, kb_relative_information_score: 1708.5003, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7445, scimark_benchmark: 1857.5664, usercpu_time_millis: 963.388, usercpu_time_millis_testing: 3.304, usercpu_time_millis_training: 960.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7661, kappa: 0.5282, kb_relative_information_score: 1281.733, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 1857.1082, usercpu_time_millis: 860.377, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 858.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1575.8326, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1859.1356, usercpu_time_millis: 742.052, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 740.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7948, kappa: 0.5862, kb_relative_information_score: 1380.5673, mean_absolute_error: 0.3323, 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: 0.6693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7861, scimark_benchmark: 1853.3841, usercpu_time_millis: 612.756, usercpu_time_millis_testing: 3.038, usercpu_time_millis_training: 609.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7819, kappa: 0.56, kb_relative_information_score: 1411.2974, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7968, scimark_benchmark: 1851.8567, usercpu_time_millis: 501.423, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 500.218,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1577.5579, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1847.7988, usercpu_time_millis: 252.719, usercpu_time_millis_testing: 1.768, usercpu_time_millis_training: 250.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1462.9314, mean_absolute_error: 0.3217, 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: 0.6481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1853.9121, usercpu_time_millis: 191.334, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 189.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 811.5604, mean_absolute_error: 0.4078, 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: 0.8214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8818, scimark_benchmark: 1848.916, usercpu_time_millis: 121.046, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 120.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7749, kappa: 0.5459, kb_relative_information_score: 1289.5389, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1840.7617, usercpu_time_millis: 119.789, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 119.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7509, kappa: 0.4973, kb_relative_information_score: 975.6688, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8499, scimark_benchmark: 1853.3841, usercpu_time_millis: 100.478, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 99.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7817, kappa: 0.5596, kb_relative_information_score: 1296.3528, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7973, scimark_benchmark: 1841.1522, usercpu_time_millis: 94.812, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 93.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7517, kappa: 0.4988, kb_relative_information_score: 890.3714, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8572, scimark_benchmark: 1853.9121, usercpu_time_millis: 86.578, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 85.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7452, kappa: 0.4857, kb_relative_information_score: 543.0376, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7464, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9069, scimark_benchmark: 1840.8272, usercpu_time_millis: 52.48, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 51.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7097, kappa: 0.4142, kb_relative_information_score: 491.2019, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7103, predictive_accuracy: 0.711, prior_entropy: 0.9948, recall: 0.711, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9154, scimark_benchmark: 1855.4813, usercpu_time_millis: 36.324, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 34.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7392, kappa: 0.4744, kb_relative_information_score: 420.5013, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9258, scimark_benchmark: 1742.1603, usercpu_time_millis: 41.549, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 40.102,

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