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: 0.7912, 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: 0.8693, 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: 0.8333, 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: 0.8242, 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: 0.5001, 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: 0.8763, 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: 0.8716, 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: 0.8762, 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: 0.8098, 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: 0.8561, 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: 0.8711, 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: 0.8615, 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: 0.8652, 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: 0.8491, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1385.4705, mean_absolute_error: 0.3306, 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: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1498.6498, usercpu_time_millis: 1125.73, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 1124.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7971, kappa: 0.5907, kb_relative_information_score: 1560.666, mean_absolute_error: 0.3071, 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: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1850.9434, usercpu_time_millis: 3819.14, usercpu_time_millis_testing: 3.528, usercpu_time_millis_training: 3815.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7797, kappa: 0.5555, kb_relative_information_score: 1365.13, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1592.3873, usercpu_time_millis: 840.18, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 839.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0355, 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: 1497.1216, usercpu_time_millis: 7.57, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 6.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7941, kappa: 0.5849, kb_relative_information_score: 1467.5203, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7848, scimark_benchmark: 1544.4068, usercpu_time_millis: 135.03, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 134.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8008, kappa: 0.5983, kb_relative_information_score: 1347.4575, mean_absolute_error: 0.338, 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: 0.6808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7772, scimark_benchmark: 1506.8039, usercpu_time_millis: 253.53, usercpu_time_millis_testing: 6.99, usercpu_time_millis_training: 246.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7952, kappa: 0.5869, kb_relative_information_score: 1502.0519, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1853.9121, usercpu_time_millis: 3069.296, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 3067.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1641.4615, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1484.843, usercpu_time_millis: 7085.24, usercpu_time_millis_testing: 4.33, usercpu_time_millis_training: 7080.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7991, kappa: 0.5948, kb_relative_information_score: 1348.5747, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1512.1217, usercpu_time_millis: 1268.47, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 1264.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8119, kappa: 0.6206, kb_relative_information_score: 1532.1269, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8122, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1548.6363, usercpu_time_millis: 1462.48, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 1459.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1649.6284, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1841.6847, usercpu_time_millis: 2223.75, usercpu_time_millis_testing: 2.257, usercpu_time_millis_training: 2221.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8056, kappa: 0.6078, kb_relative_information_score: 1441.0635, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1504.088, usercpu_time_millis: 1502.74, usercpu_time_millis_testing: 4.11, usercpu_time_millis_training: 1498.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7636, kappa: 0.523, kb_relative_information_score: 1283.5269, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1853.454, usercpu_time_millis: 976.263, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 974.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1636.9377, mean_absolute_error: 0.297, 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: 0.5982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1848.916, usercpu_time_millis: 921.192, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 919.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7866, kappa: 0.5695, kb_relative_information_score: 1484.0875, mean_absolute_error: 0.3167, 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: 0.6379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7843, scimark_benchmark: 1587.6582, usercpu_time_millis: 1264.01, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1263.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7846, kappa: 0.5654, kb_relative_information_score: 1430.5091, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1842.7957, usercpu_time_millis: 571.255, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 569.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7933, kappa: 0.583, kb_relative_information_score: 1479.2983, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1852.9259, usercpu_time_millis: 542.363, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 541.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7581, kappa: 0.5121, kb_relative_information_score: 1261.1318, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8239, scimark_benchmark: 1852.5406, usercpu_time_millis: 477.222, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 476.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.769, kappa: 0.5339, kb_relative_information_score: 1252.2567, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1855.6669, usercpu_time_millis: 274.294, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 273.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7615, kappa: 0.5188, kb_relative_information_score: 1086.9157, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8297, scimark_benchmark: 1852.9988, usercpu_time_millis: 191.678, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 189.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7505, kappa: 0.4967, kb_relative_information_score: 1209.462, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 1851.5764, usercpu_time_millis: 79.132, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 78.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7363, kappa: 0.4693, kb_relative_information_score: 715.7534, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7367, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8844, scimark_benchmark: 1992.2576, usercpu_time_millis: 63.082, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 62.216,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1402, 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: 1486.5263, usercpu_time_millis: 9.7, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 8.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1205.9861, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219, scimark_benchmark: 1514.9532, usercpu_time_millis: 149.5, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 148.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.091, 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: 1525.0539, usercpu_time_millis: 6.19, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7748, kappa: 0.5462, kb_relative_information_score: 1708.462, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1495.1226, usercpu_time_millis: 32.14, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 31.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7524, kappa: 0.5004, kb_relative_information_score: 981.6775, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8479, scimark_benchmark: 1492.0652, usercpu_time_millis: 400.62, usercpu_time_millis_testing: 2.64, usercpu_time_millis_training: 397.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7744, kappa: 0.5447, kb_relative_information_score: 1297.041, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1611.9928, usercpu_time_millis: 444.34, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 443.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1551.4818, mean_absolute_error: 0.3071, 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: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1319.8856, usercpu_time_millis: 8959.04, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 8955.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1399.9684, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1428.2043, usercpu_time_millis: 379.17, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 378.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1360.0176, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1484.0633, usercpu_time_millis: 30.1, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 29.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8066, kappa: 0.6099, kb_relative_information_score: 1606.5866, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 832.757, usercpu_time_millis: 9454.42, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 9447.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7921, kappa: 0.5806, kb_relative_information_score: 1533.7507, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7766, scimark_benchmark: 1483.1686, usercpu_time_millis: 7678.66, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 7675.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7987, kappa: 0.5939, kb_relative_information_score: 1508.7949, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7719, scimark_benchmark: 1370.9044, usercpu_time_millis: 5675.76, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 5671.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7461, kappa: 0.488, kb_relative_information_score: 1169.3728, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8414, scimark_benchmark: 1408.2407, usercpu_time_millis: 17.13, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 16.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7945, kappa: 0.5855, kb_relative_information_score: 1556.4742, mean_absolute_error: 0.307, 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: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 816.8622, usercpu_time_millis: 5017.23, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 5015.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1043, 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: 1488.9801, usercpu_time_millis: 7.41, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.769, kappa: 0.5341, kb_relative_information_score: 1254.1081, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1432.8269, usercpu_time_millis: 1165.29, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 1163.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7841, kappa: 0.5643, kb_relative_information_score: 1311.4124, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8034, scimark_benchmark: 1514.926, usercpu_time_millis: 1472.47, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 1470.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1379.9955, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7985, scimark_benchmark: 909.2085, usercpu_time_millis: 3227.46, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 3224.91,
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: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1154, 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: 1375.9638, usercpu_time_millis: 7.89, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 6.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.0394, 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: 1555.5566, usercpu_time_millis: 5.24, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7939, kappa: 0.5845, kb_relative_information_score: 1470.2281, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1223.1789, usercpu_time_millis: 1529.29, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 1527.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8131, kappa: 0.6231, kb_relative_information_score: 1535.9253, mean_absolute_error: 0.3119, 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: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1225.6298, usercpu_time_millis: 747.25, usercpu_time_millis_testing: 5.62, usercpu_time_millis_training: 741.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7659, kappa: 0.5278, kb_relative_information_score: 1260.3091, mean_absolute_error: 0.3467, 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: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8216, scimark_benchmark: 841.1637, usercpu_time_millis: 428.84, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 427.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7895, kappa: 0.5756, kb_relative_information_score: 1153.9832, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 964.1576, usercpu_time_millis: 172.02, usercpu_time_millis_testing: 12.09, usercpu_time_millis_training: 159.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0896, 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: 1156.9993, usercpu_time_millis: 11.17, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 9.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0865, 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: 843.3052, usercpu_time_millis: 10.78, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 9.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1670.9498, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1849.8294, usercpu_time_millis: 12192.644, usercpu_time_millis_testing: 4.32, usercpu_time_millis_training: 12188.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 1622.7739, mean_absolute_error: 0.2973, 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: 0.5989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1719.9869, usercpu_time_millis: 6404.413, usercpu_time_millis_testing: 3.335, usercpu_time_millis_training: 6401.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1607.1097, mean_absolute_error: 0.301, 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: 0.6062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7586, scimark_benchmark: 1854.4431, usercpu_time_millis: 4424.368, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 4420.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8082, kappa: 0.613, kb_relative_information_score: 1653.5005, mean_absolute_error: 0.2942, 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: 0.5927, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1822.0693, usercpu_time_millis: 3280.288, usercpu_time_millis_testing: 3.533, usercpu_time_millis_training: 3276.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7491, kappa: 0.494, kb_relative_information_score: 1286.924, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1849.8294, usercpu_time_millis: 2642.167, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 2640.211,

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