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: 0.8652, f_measure: 0.7957, kappa: 0.5878, kb_relative_information_score: 1566.697, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7721, scimark_benchmark: 1484.3064, usercpu_time_millis: 8834.63, usercpu_time_millis_testing: 3.82, usercpu_time_millis_training: 8830.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1633.7909, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.762, scimark_benchmark: 1409.5825, usercpu_time_millis: 13592.08, usercpu_time_millis_testing: 4.24, usercpu_time_millis_training: 13587.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.741, kappa: 0.4774, kb_relative_information_score: 762.2994, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7419, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8734, scimark_benchmark: 1426.8271, usercpu_time_millis: 64.2, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 63.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8052, kappa: 0.607, kb_relative_information_score: 1681.486, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7536, scimark_benchmark: 1552.1477, usercpu_time_millis: 2599.23, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 2597.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8117, kappa: 0.6203, kb_relative_information_score: 1560.0261, mean_absolute_error: 0.3081, 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: 0.6207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1367.1382, usercpu_time_millis: 156.96, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 156.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7551, kappa: 0.5062, kb_relative_information_score: 872.2617, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8556, scimark_benchmark: 1464.1063, usercpu_time_millis: 191.6, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 189.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.6887, kappa: 0.3742, kb_relative_information_score: 425.5871, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6979, predictive_accuracy: 0.6947, prior_entropy: 0.9948, recall: 0.6947, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9243, scimark_benchmark: 1472.9342, usercpu_time_millis: 23.7, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 21.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7893, kappa: 0.5752, kb_relative_information_score: 1498.039, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7908, scimark_benchmark: 1597.7951, usercpu_time_millis: 44.88, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 44.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7291, kappa: 0.4536, kb_relative_information_score: 625.7017, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7291, predictive_accuracy: 0.7297, prior_entropy: 0.9948, recall: 0.7297, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8942, scimark_benchmark: 1500.0842, usercpu_time_millis: 74.85, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 73.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7972, kappa: 0.591, kb_relative_information_score: 1312.4469, mean_absolute_error: 0.3419, 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: 0.6887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7912, scimark_benchmark: 1566.8084, usercpu_time_millis: 305.14, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 303.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7898, kappa: 0.576, kb_relative_information_score: 1398.7021, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1419.7865, usercpu_time_millis: 84.25, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 83.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1593.1091, mean_absolute_error: 0.3027, 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: 0.6098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1423.0675, usercpu_time_millis: 9074.9, usercpu_time_millis_testing: 4.25, usercpu_time_millis_training: 9070.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -3.4446, mean_absolute_error: 0.4967, 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: 1.0006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 1437.0125, usercpu_time_millis: 4.07, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 3.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7659, kappa: 0.5279, kb_relative_information_score: 976.4527, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8402, scimark_benchmark: 1424.8494, usercpu_time_millis: 77.72, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 76.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1550.7676, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7669, scimark_benchmark: 1539.8804, usercpu_time_millis: 5113.67, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 5110.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7687, kappa: 0.5362, kb_relative_information_score: 1623.7826, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.812, scimark_benchmark: 1548.6229, usercpu_time_millis: 26.86, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 26.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8045, kappa: 0.6056, kb_relative_information_score: 1694.1014, mean_absolute_error: 0.2876, 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: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1498.9945, usercpu_time_millis: 19442.75, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 19438.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7617, kappa: 0.5192, kb_relative_information_score: 1164.8476, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8271, scimark_benchmark: 1258.2155, usercpu_time_millis: 1448.5, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 1446.52,
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: 0.8475, 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 - 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: 0.8527, 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: 0.8606, 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: 0.8693, 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: 0.8298, 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: 0.8825, 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: 0.8752, 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: 0.8529, 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: 0.8799, 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: 0.8812, 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: 0.8641, 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: 0.8657, 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: 0.8774, f_measure: 0.804, kappa: 0.6049, kb_relative_information_score: 1768.2776, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1831.6164, usercpu_time_millis: 6534.725, usercpu_time_millis_testing: 4.143, usercpu_time_millis_training: 6530.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7908, kappa: 0.5779, kb_relative_information_score: 1519.8722, mean_absolute_error: 0.3117, 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: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1851.3986, usercpu_time_millis: 6934.374, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 6932.285,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1567.9842, mean_absolute_error: 0.3061, 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: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674, scimark_benchmark: 1213.1499, usercpu_time_millis: 4171.586, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 4169.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.78, kappa: 0.556, kb_relative_information_score: 1293.9847, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1219.2679, usercpu_time_millis: 637.179, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 635.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.785, kappa: 0.5661, kb_relative_information_score: 1354.2539, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, scimark_benchmark: 1207.0972, usercpu_time_millis: 2840.245, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 2836.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7699, kappa: 0.5357, kb_relative_information_score: 1204.7668, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7711, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.816, scimark_benchmark: 1193.8295, usercpu_time_millis: 1399.365, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 1396.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.766, kappa: 0.5279, kb_relative_information_score: 1311.5021, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8148, scimark_benchmark: 1214.1575, usercpu_time_millis: 809.303, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 807.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8075, kappa: 0.6118, kb_relative_information_score: 1721.8034, mean_absolute_error: 0.2835, 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: 0.5711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.754, scimark_benchmark: 1215.9556, usercpu_time_millis: 5720.363, usercpu_time_millis_testing: 2.973, usercpu_time_millis_training: 5717.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.807, kappa: 0.6107, kb_relative_information_score: 1651.0846, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 1198.9413, usercpu_time_millis: 10211.995, usercpu_time_millis_testing: 4.456, usercpu_time_millis_training: 10207.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 965.8188, mean_absolute_error: 0.3879, 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: 0.7813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8621, scimark_benchmark: 1191.14, usercpu_time_millis: 571.352, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 569.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1642.9515, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1217.6244, usercpu_time_millis: 17668.395, usercpu_time_millis_testing: 5.718, usercpu_time_millis_training: 17662.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1360.9162, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7916, scimark_benchmark: 1190.238, usercpu_time_millis: 801.249, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 798.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.122, 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: 1205.5659, usercpu_time_millis: 8.271, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 6.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7993, kappa: 0.5952, kb_relative_information_score: 1605.4793, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1199.9068, usercpu_time_millis: 3836.45, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 3834.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.799, kappa: 0.5944, kb_relative_information_score: 1513.6191, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7701, scimark_benchmark: 1206.3225, usercpu_time_millis: 2185.661, usercpu_time_millis_testing: 3.413, usercpu_time_millis_training: 2182.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7461, kappa: 0.4881, kb_relative_information_score: 1189.0181, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8407, scimark_benchmark: 1182.7351, usercpu_time_millis: 898.204, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 896.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1514, 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: 1177.7764, usercpu_time_millis: 6.979, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 5.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7633, kappa: 0.5225, kb_relative_information_score: 1284.3898, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.819, scimark_benchmark: 1212.8846, usercpu_time_millis: 275.296, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 274.159,
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,
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: 0.8713, 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: 0.8788, 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: 0.87, 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: 0.8812, 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: 0.8515, 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: 0.4993, 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: 0.838, 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: 0.8212, 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: 0.881, 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: 0.844, 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: 0.874, 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: 0.8172, 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: 0.8702, 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: 0.8208, 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: 0.8723, 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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs