Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 431.5777, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6448, scimark_benchmark: 1288.3564, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8577, kappa: 0.7113, kb_relative_information_score: 382.1796, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6795, scimark_benchmark: 1285.4435, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3172, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7102, scimark_benchmark: 1312.6547, usercpu_time_millis: 71.963, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 71.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 379.4184, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6938, scimark_benchmark: 1313.7558, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8479, kappa: 0.6924, kb_relative_information_score: 375.566, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8481, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1316.4161, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.3975, kappa: -0.0051, kb_relative_information_score: -1.7634, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4187, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.003, scimark_benchmark: 1298.1428, usercpu_time_millis: 2.569, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8511, kappa: 0.7025, kb_relative_information_score: 416.1956, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6536, scimark_benchmark: 1296.3953, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 395.9905, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6846, scimark_benchmark: 1285.2261, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 379.616, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6936, scimark_benchmark: 1313.7809, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7388, kappa: 0.4797, kb_relative_information_score: 194.2875, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.786, predictive_accuracy: 0.7536, prior_entropy: 0.9913, recall: 0.7536, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8333, scimark_benchmark: 1311.3564, usercpu_time_millis: 1.321, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 402.9107, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68, scimark_benchmark: 1285.1416, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.6002, kappa: 0.2451, kb_relative_information_score: 80.8716, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7177, predictive_accuracy: 0.6522, prior_entropy: 0.9913, recall: 0.6522, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9422, scimark_benchmark: 1288.6479, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7085, kappa: 0.4172, kb_relative_information_score: 161.0907, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7434, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8694, scimark_benchmark: 1317.3253, usercpu_time_millis: 1.46, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4044, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1294.0077, usercpu_time_millis: 24.256, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 24.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6678, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1283.8799, usercpu_time_millis: 5.991, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 5.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 379.4388, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6938, scimark_benchmark: 1317.0134, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.5809, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1314.8348, usercpu_time_millis: 7.773, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 7.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7967, kappa: 0.6003, kb_relative_information_score: 284.003, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8216, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7756, scimark_benchmark: 1279.4772, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 366.5801, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7087, scimark_benchmark: 1296.611, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8512, kappa: 0.7014, kb_relative_information_score: 414.8966, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677, scimark_benchmark: 1313.2756, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7196, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1293.091, usercpu_time_millis: 4.772, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 4.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 387.5574, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6893, scimark_benchmark: 1277.544, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8642, kappa: 0.7277, kb_relative_information_score: 433.6711, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8704, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6368, scimark_benchmark: 1308.4758, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 421.8447, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6509, scimark_benchmark: 1288.0515, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.854, kappa: 0.7085, kb_relative_information_score: 410.2324, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6602, scimark_benchmark: 1313.1712, usercpu_time_millis: 1.342, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.5913, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.71, scimark_benchmark: 1306.5563, usercpu_time_millis: 9.635, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 9.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 410.4996, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787, scimark_benchmark: 1307.8216, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7357, kappa: 0.4735, kb_relative_information_score: 198.747, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7824, predictive_accuracy: 0.7507, prior_entropy: 0.9913, recall: 0.7507, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8283, scimark_benchmark: 1281.0813, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 346.3658, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7063, scimark_benchmark: 1263.1681, usercpu_time_millis: 1.275, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 373.3361, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7004, scimark_benchmark: 1280.787, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8522, kappa: 0.7009, kb_relative_information_score: 349.3923, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7048, scimark_benchmark: 1287.9665, usercpu_time_millis: 1.263, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8482, kappa: 0.6969, kb_relative_information_score: 406.8527, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.679, scimark_benchmark: 1289.5091, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 3.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.5659, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.691, scimark_benchmark: 1309.3508, usercpu_time_millis: 0.722, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8757, kappa: 0.7493, kb_relative_information_score: 430.448, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8774, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6386, scimark_benchmark: 1279.6336, usercpu_time_millis: 0.787, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 425.68, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6532, scimark_benchmark: 1285.4214, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.661,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8086, kappa: 0.6112, kb_relative_information_score: 217.2303, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8113, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8249, scimark_benchmark: 1294.2958, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.743,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.3993, kappa: -0.0072, kb_relative_information_score: 6.3254, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4343, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.495, root_relative_squared_error: 0.996, scimark_benchmark: 1313.6617, usercpu_time_millis: 2.645, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.4205, kappa: 0.0071, kb_relative_information_score: 19.1728, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5315, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9875, scimark_benchmark: 1287.3345, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 3.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 384.4377, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6906, scimark_benchmark: 1308.8561, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 392.591, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864, scimark_benchmark: 1301.6947, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 362.0407, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7121, scimark_benchmark: 1310.8673, usercpu_time_millis: 503.44, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 503.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8512, kappa: 0.7012, kb_relative_information_score: 414.1981, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.856, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6771, scimark_benchmark: 1310.7628, usercpu_time_millis: 2.04, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0449, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1291.9091, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7782, kappa: 0.5498, kb_relative_information_score: 210.8524, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7836, predictive_accuracy: 0.7812, prior_entropy: 0.9913, recall: 0.7812, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8378, scimark_benchmark: 1282.7808, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 426.0158, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6466, scimark_benchmark: 1290.6811, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8075, kappa: 0.61, kb_relative_information_score: 278.2121, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8204, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7602, scimark_benchmark: 1286.7375, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8364, kappa: 0.6755, kb_relative_information_score: 368.3723, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8525, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7021, scimark_benchmark: 1315.2817, usercpu_time_millis: 1.947, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7249, kappa: 0.4736, kb_relative_information_score: 177.2836, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7768, predictive_accuracy: 0.729, prior_entropy: 0.9913, recall: 0.729, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8617, scimark_benchmark: 1293.6886, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8656, kappa: 0.7309, kb_relative_information_score: 433.5798, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8727, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6378, scimark_benchmark: 1325.2403, usercpu_time_millis: 0.747, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.7848, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1320.9967, usercpu_time_millis: 4.274, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 4.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 410.5312, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6786, scimark_benchmark: 1309.5001, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -1.3433, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033, scimark_benchmark: 1307.4392, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.5992, kappa: 0.2445, kb_relative_information_score: 83.339, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7206, predictive_accuracy: 0.6522, prior_entropy: 0.9913, recall: 0.6522, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9408, scimark_benchmark: 1298.601, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 373.4527, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6984, scimark_benchmark: 1288.627, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.1559, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6965, scimark_benchmark: 1278.87, usercpu_time_millis: 673.197, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 673.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -0.512, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005, scimark_benchmark: 1313.2513, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.8595, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.003, scimark_benchmark: 1313.2169, usercpu_time_millis: 2.825, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 2.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.4776, kappa: 0.0631, kb_relative_information_score: 41.6369, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.599, predictive_accuracy: 0.5754, prior_entropy: 0.9913, recall: 0.5754, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9721, scimark_benchmark: 1292.2228, usercpu_time_millis: 2.972, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8464, kappa: 0.6892, kb_relative_information_score: 366.6063, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8465, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6847, scimark_benchmark: 1289.1766, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.4313, kappa: 0.0106, kb_relative_information_score: 27.1812, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.532, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9782, scimark_benchmark: 1278.521, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6367, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1315.1179, usercpu_time_millis: 9.853, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 9.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6296, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1316.9153, usercpu_time_millis: 10.046, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 10.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8373, kappa: 0.6701, kb_relative_information_score: 365.1146, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8375, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.695, scimark_benchmark: 1309.1217, usercpu_time_millis: 2.939, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7189, kappa: 0.4366, kb_relative_information_score: 172.244, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7507, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8601, scimark_benchmark: 1281.1592, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7589, kappa: 0.5106, kb_relative_information_score: 188.6476, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7645, predictive_accuracy: 0.7623, prior_entropy: 0.9913, recall: 0.7623, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8525, scimark_benchmark: 1314.5047, usercpu_time_millis: 1.182, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7512, kappa: 0.5192, kb_relative_information_score: 210.3578, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7935, predictive_accuracy: 0.7536, prior_entropy: 0.9913, recall: 0.7536, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.835, scimark_benchmark: 1310.9674, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8351, kappa: 0.6672, kb_relative_information_score: 332.7982, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8364, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7314, scimark_benchmark: 1289.9107, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 387.1364, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6895, scimark_benchmark: 1304.3049, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.671,

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

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

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From your own software

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

OpenML APIs