OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 451.5175, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3184, scimark_benchmark: 1316.8601, usercpu_time_millis: 16.418, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 14.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1295.0866, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7693, kappa: 0.5432, kb_relative_information_score: 261.8109, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7826, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7454, scimark_benchmark: 1323.3841, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1290.6361, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1301.6521, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1319.9549, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1302.12, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1295.9679, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1319.568, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1315.944, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9477, kappa: 0.8957, kb_relative_information_score: 325.2633, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9528, predictive_accuracy: 0.9478, prior_entropy: 1, recall: 0.9478, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5712, scimark_benchmark: 1290.0293, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 401.8484, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4202, scimark_benchmark: 1319.4282, usercpu_time_millis: 3.233, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 422.346, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3766, scimark_benchmark: 1311.8137, usercpu_time_millis: 6.491, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 5.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 166.5042, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 1316.3958, usercpu_time_millis: 7.554, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 6.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 414.949, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3935, scimark_benchmark: 1316.9319, usercpu_time_millis: 8.14, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 7.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 351.5515, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5214, scimark_benchmark: 1288.5959, usercpu_time_millis: 8.746, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 7.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 463.2392, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2787, scimark_benchmark: 1308.9106, usercpu_time_millis: 14.024, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 12.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9568, kappa: 0.9137, kb_relative_information_score: 303.0065, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9603, predictive_accuracy: 0.9568, prior_entropy: 1, recall: 0.9568, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.581, scimark_benchmark: 1289.8006, usercpu_time_millis: 11.31, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 9.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 462.5206, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3255, scimark_benchmark: 1293.2531, usercpu_time_millis: 20.042, usercpu_time_millis_testing: 2.194, usercpu_time_millis_training: 17.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 356.5368, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.4995, scimark_benchmark: 1298.1707, usercpu_time_millis: 11.035, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 9.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 361.391, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9313, kappa: 0.8633, kb_relative_information_score: 276.6992, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9399, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1285.5995, usercpu_time_millis: 8.88, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 7.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 472.9291, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2577, scimark_benchmark: 1285.7615, usercpu_time_millis: 15.497, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 14.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 461.0784, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3037, scimark_benchmark: 1320.3621, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 398.8117, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.21, root_relative_squared_error: 0.42, scimark_benchmark: 1289.012, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 172.8568, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7691, scimark_benchmark: 1317.2931, usercpu_time_millis: 4.094, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 3.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8777, kappa: 0.759, kb_relative_information_score: 170.0068, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9029, predictive_accuracy: 0.8795, prior_entropy: 1, recall: 0.8795, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7739, scimark_benchmark: 1292.4964, usercpu_time_millis: 6.394, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 5.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 447.7024, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9712, kappa: 0.9424, kb_relative_information_score: 306.9719, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9728, predictive_accuracy: 0.9712, prior_entropy: 1, recall: 0.9712, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5746, scimark_benchmark: 1314.3708, usercpu_time_millis: 10.299, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 9.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 404.1653, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4137, scimark_benchmark: 1308.8679, usercpu_time_millis: 9.027, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 8.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 448.3389, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.16, root_relative_squared_error: 0.32, scimark_benchmark: 1313.9941, usercpu_time_millis: 16.212, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 14.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 472.7314, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2582, scimark_benchmark: 1285.363, usercpu_time_millis: 20.32, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 18.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 375.6525, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4651, scimark_benchmark: 1296.1781, usercpu_time_millis: 15.713, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 13.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 454.2812, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3086, scimark_benchmark: 1288.412, usercpu_time_millis: 4.645, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 4.159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 373.2056, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4681, scimark_benchmark: 1284.424, usercpu_time_millis: 4.672, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 4.152,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.826, kappa: 0.6619, kb_relative_information_score: 151.4827, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8737, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8007, scimark_benchmark: 1318.4165, usercpu_time_millis: 8.008, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 7.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8796, kappa: 0.7626, kb_relative_information_score: 168.2585, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9041, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7762, scimark_benchmark: 1293.2354, usercpu_time_millis: 12.335, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 10.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 445.7784, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3224, scimark_benchmark: 1297.7694, usercpu_time_millis: 15.756, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 13.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1312.1865, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1295.2944, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.06,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1336.7899, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1316.2673, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1322.7222, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1325.1834, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1321.4394, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1302.3611, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1321.1812, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.1419, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1292.4619, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1313.5743, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.4338, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1287.775, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.9137, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7039, kappa: 0.4281, kb_relative_information_score: 168.7335, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7481, predictive_accuracy: 0.714, prior_entropy: 1, recall: 0.714, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 1310.466, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1325.3672, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.889, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1295.8309, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1374.8336, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1318.1593, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.087,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs