OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.6975, kappa: 0.39, kb_relative_information_score: 503.7404, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7014, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9125, scimark_benchmark: 1730.1287, usercpu_time_millis: 9.697, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 8.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6082, kappa: 0.2463, kb_relative_information_score: 197.2234, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6721, predictive_accuracy: 0.6417, prior_entropy: 0.9948, recall: 0.6417, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9642, scimark_benchmark: 1729.8402, usercpu_time_millis: 7.694, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 6.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0843, 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: 1719.2653, usercpu_time_millis: 7.351, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 6.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0237, 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: 1970.679, usercpu_time_millis: 5.596, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7923, kappa: 0.5811, kb_relative_information_score: 1543.5781, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7759, scimark_benchmark: 1720.8224, usercpu_time_millis: 6215.842, usercpu_time_millis_testing: 2.949, usercpu_time_millis_training: 6212.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1603.386, mean_absolute_error: 0.3011, 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: 0.6065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1721.2231, usercpu_time_millis: 6161.701, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 6158.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7822, kappa: 0.5605, kb_relative_information_score: 1466.9245, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7871, scimark_benchmark: 1718.6781, usercpu_time_millis: 10198.545, usercpu_time_millis_testing: 4.357, usercpu_time_millis_training: 10194.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1576.748, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1720.3806, usercpu_time_millis: 6773.258, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 6769.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8072, kappa: 0.6111, kb_relative_information_score: 1720.3763, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1722.1998, usercpu_time_millis: 1417.025, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 1415.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1675.5277, mean_absolute_error: 0.2906, 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: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7548, scimark_benchmark: 1728.3663, usercpu_time_millis: 1338.728, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 1337.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7531, kappa: 0.5019, kb_relative_information_score: 1168.4325, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8332, scimark_benchmark: 1727.1069, usercpu_time_millis: 735.101, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 733.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1740.5964, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 1723.9038, usercpu_time_millis: 8260.743, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 8257.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1642.8058, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7534, scimark_benchmark: 1723.9607, usercpu_time_millis: 5747.096, usercpu_time_millis_testing: 5.656, usercpu_time_millis_training: 5741.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7978, kappa: 0.5922, kb_relative_information_score: 1491.5747, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1726.3126, usercpu_time_millis: 4372.286, usercpu_time_millis_testing: 5.557, usercpu_time_millis_training: 4366.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 1556.271, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7617, scimark_benchmark: 1729.8197, usercpu_time_millis: 502.251, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 500.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7569, kappa: 0.5094, kb_relative_information_score: 1081.8267, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8336, scimark_benchmark: 1714.5598, usercpu_time_millis: 317.02, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 315.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1626.1523, mean_absolute_error: 0.2977, 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: 0.5996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7584, scimark_benchmark: 1706.8829, usercpu_time_millis: 319.243, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 318.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1295.4135, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7802, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8034, scimark_benchmark: 1738.9838, usercpu_time_millis: 307.961, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 306.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8112, kappa: 0.6192, kb_relative_information_score: 1626.1918, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1712.5743, usercpu_time_millis: 192.51, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 191.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.763, kappa: 0.5218, kb_relative_information_score: 1253.5882, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8214, scimark_benchmark: 1720.7813, usercpu_time_millis: 176.101, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 175.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7456, kappa: 0.487, kb_relative_information_score: 1157.3996, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.841, scimark_benchmark: 1725.723, usercpu_time_millis: 163.689, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 162.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7368, kappa: 0.4704, kb_relative_information_score: 821.693, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1715.1352, usercpu_time_millis: 117.079, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 115.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1390.8847, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1729.0613, usercpu_time_millis: 107.884, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 106.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7929, kappa: 0.5821, kb_relative_information_score: 1461.1596, mean_absolute_error: 0.3206, 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: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7819, scimark_benchmark: 1736.7494, usercpu_time_millis: 98.896, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 97.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7619, kappa: 0.52, kb_relative_information_score: 920.2602, mean_absolute_error: 0.3931, 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: 0.7918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8473, scimark_benchmark: 1735.9375, usercpu_time_millis: 70.392, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 68.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1263, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1716.4902, usercpu_time_millis: 9.565, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 8.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8068, kappa: 0.6102, kb_relative_information_score: 1674.3312, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8072, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.755, scimark_benchmark: 2007.1715, usercpu_time_millis: 3683.991, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 3682.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7552, kappa: 0.5061, kb_relative_information_score: 1327.6085, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8149, scimark_benchmark: 1721.8007, usercpu_time_millis: 7246.503, usercpu_time_millis_testing: 2.705, usercpu_time_millis_training: 7243.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1660.7893, mean_absolute_error: 0.2927, 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: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7558, scimark_benchmark: 1723.0604, usercpu_time_millis: 11832.435, usercpu_time_millis_testing: 5.579, usercpu_time_millis_training: 11826.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 1642.3768, mean_absolute_error: 0.2956, 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: 0.5954, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7574, scimark_benchmark: 1731.4775, usercpu_time_millis: 6895.597, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 6892.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1573.0493, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1709.3964, usercpu_time_millis: 4269.652, usercpu_time_millis_testing: 7.427, usercpu_time_millis_training: 4262.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7777, kappa: 0.5514, kb_relative_information_score: 1445.5366, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1728.0111, usercpu_time_millis: 2886.36, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 2884.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7528, kappa: 0.5013, kb_relative_information_score: 1284.1309, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8209, scimark_benchmark: 1726.1218, usercpu_time_millis: 2766.271, usercpu_time_millis_testing: 2.115, usercpu_time_millis_training: 2764.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1577.6461, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7668, scimark_benchmark: 1723.504, usercpu_time_millis: 3833.861, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 3831.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7821, kappa: 0.5604, kb_relative_information_score: 1453.1565, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1724.8103, usercpu_time_millis: 6487.322, usercpu_time_millis_testing: 3.258, usercpu_time_millis_training: 6484.064,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6166, kappa: 0.2637, kb_relative_information_score: 199.9518, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6862, predictive_accuracy: 0.6502, prior_entropy: 0.9948, recall: 0.6502, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9637, scimark_benchmark: 1739.4627, usercpu_time_millis: 22.475, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 19.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6747, kappa: 0.3471, kb_relative_information_score: 389.9131, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9313, scimark_benchmark: 1733.0489, usercpu_time_millis: 20.033, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 18.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.6462, kappa: 0.3085, kb_relative_information_score: 246.8309, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6946, predictive_accuracy: 0.6692, prior_entropy: 0.9948, recall: 0.6692, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9552, scimark_benchmark: 1728.354, usercpu_time_millis: 14.498, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 12.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.6732, kappa: 0.3448, kb_relative_information_score: 381.6532, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9327, scimark_benchmark: 1730.591, usercpu_time_millis: 12.469, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 11.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.6736, kappa: 0.3453, kb_relative_information_score: 390.2026, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6854, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9311, scimark_benchmark: 1733.7613, usercpu_time_millis: 12.314, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 11.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6056, kappa: 0.2417, kb_relative_information_score: 189.9035, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6695, predictive_accuracy: 0.6396, prior_entropy: 0.9948, recall: 0.6396, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655, scimark_benchmark: 1730.1903, usercpu_time_millis: 12.167, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 10.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6752, kappa: 0.347, kb_relative_information_score: 404.7826, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6836, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9292, scimark_benchmark: 1722.7088, usercpu_time_millis: 9.248, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 8.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7726, kappa: 0.5414, kb_relative_information_score: 1049.0967, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7728, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8254, scimark_benchmark: 1724.4205, usercpu_time_millis: 6.868, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 6.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.002, 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: 1735.1968, usercpu_time_millis: 10.448, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 8.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7381, kappa: 0.4717, kb_relative_information_score: 727.1744, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8815, scimark_benchmark: 1716.0319, usercpu_time_millis: 12.165, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 11.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0047, 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: 1724.3614, usercpu_time_millis: 7.317, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 6.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.5468, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1728.4686, usercpu_time_millis: 5.492, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 4.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1653.9065, mean_absolute_error: 0.2939, 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: 0.592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1715.6347, usercpu_time_millis: 6314.639, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 6311.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8082, kappa: 0.6133, kb_relative_information_score: 1728.4215, mean_absolute_error: 0.283, 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: 0.57, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494, scimark_benchmark: 1735.633, usercpu_time_millis: 2008.982, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 2007.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.786, kappa: 0.5683, kb_relative_information_score: 1322.9895, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7866, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 1724.0833, usercpu_time_millis: 1530.88, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 1527.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7982, kappa: 0.5928, kb_relative_information_score: 1484.0474, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1795.1512, usercpu_time_millis: 1418.475, usercpu_time_millis_testing: 2.63, usercpu_time_millis_training: 1415.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7522, kappa: 0.5, kb_relative_information_score: 1282.1549, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1727.1069, usercpu_time_millis: 1265.054, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 1263.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1652.7889, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1730.591, usercpu_time_millis: 860.825, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 859.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7513, kappa: 0.4983, kb_relative_information_score: 1196.8621, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8404, scimark_benchmark: 1732.1016, usercpu_time_millis: 753.838, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 752.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1469.5393, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1719.0219, usercpu_time_millis: 425.532, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 424.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7579, kappa: 0.5116, kb_relative_information_score: 1061.3862, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8361, scimark_benchmark: 1722.2536, usercpu_time_millis: 325.806, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 324.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7923, kappa: 0.5811, kb_relative_information_score: 1534.7609, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7747, scimark_benchmark: 1728.8162, usercpu_time_millis: 4991.215, usercpu_time_millis_testing: 2.454, usercpu_time_millis_training: 4988.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.5263, mean_absolute_error: 0.3902, 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: 0.7859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1730.1287, usercpu_time_millis: 303.464, usercpu_time_millis_testing: 1.854, usercpu_time_millis_training: 301.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 1435.5744, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7736, scimark_benchmark: 1732.8983, usercpu_time_millis: 728.625, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 726.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1314.5699, mean_absolute_error: 0.3409, 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: 0.6868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7983, scimark_benchmark: 1718.6781, usercpu_time_millis: 274.706, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 272.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7866, kappa: 0.5696, kb_relative_information_score: 1112.9215, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8108, scimark_benchmark: 1730.591, usercpu_time_millis: 71.654, usercpu_time_millis_testing: 3.121, usercpu_time_millis_training: 68.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7528, kappa: 0.5015, kb_relative_information_score: 864.847, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1727.4447, usercpu_time_millis: 59.063, usercpu_time_millis_testing: 4.301, usercpu_time_millis_training: 54.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7448, kappa: 0.4853, kb_relative_information_score: 1152.7322, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8451, scimark_benchmark: 1733.7613, usercpu_time_millis: 530.519, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 529.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.4926, kappa: 0.1184, kb_relative_information_score: 127.8628, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7116, predictive_accuracy: 0.5916, prior_entropy: 0.9948, recall: 0.5916, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9765, scimark_benchmark: 1729.2681, usercpu_time_millis: 12.746, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 11.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1028, 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: 1723.6152, usercpu_time_millis: 6.736, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 5.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6613, kappa: 0.3222, kb_relative_information_score: 327.5102, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.676, predictive_accuracy: 0.671, prior_entropy: 0.9948, recall: 0.671, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.942, scimark_benchmark: 1732.0396, usercpu_time_millis: 14.306, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 12.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0037, 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: 1736.9559, usercpu_time_millis: 7.21, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 6.126,

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