OpenML
Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 3673 Supervised Classification fri_c0_100_10 754 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, build_cpu_time: 0.0293, build_memory: 108171721.6, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.9221, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7387, scimark_benchmark: 943.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, build_cpu_time: 2.8275, build_memory: 1995168936, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 34.3809, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7619, scimark_benchmark: 902.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 1.5582, build_memory: 1192685295.2, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 34.7519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7597, scimark_benchmark: 926.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 1.3968, build_memory: 1086814312, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 34.7519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7597, scimark_benchmark: 912.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 1.439, build_memory: 851520072, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 34.7519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7597, scimark_benchmark: 914.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, build_cpu_time: 0.7115, build_memory: 790211870.4, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 35.4364, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7546, scimark_benchmark: 883.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, build_cpu_time: 0.7563, build_memory: 714657249.6, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 35.4364, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7546, scimark_benchmark: 914.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.358, build_memory: 921508521.6, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 34.6452, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7601, scimark_benchmark: 921.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 0.2582, build_memory: 1461988963.2, f_measure: 0.8163, kappa: 0.6289, kb_relative_information_score: 34.8048, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8301, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7644, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, build_cpu_time: 0.0028, build_memory: 1092758852.8, f_measure: 0.5176, kappa: 0.0506, kb_relative_information_score: 6.9965, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5362, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.024, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, build_cpu_time: 0.0063, build_memory: 265897666.4, f_measure: 0.5977, kappa: 0.1909, kb_relative_information_score: 11.7694, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6069, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9644, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, build_cpu_time: 0.0135, build_memory: 1431571216.8, f_measure: 0.5857, kappa: 0.1684, kb_relative_information_score: 12.04, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5961, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9451, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, build_cpu_time: 0.0101, build_memory: 576729867.2, f_measure: 0.5857, kappa: 0.1684, kb_relative_information_score: 12.04, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5961, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9451, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, build_cpu_time: 0.01, build_memory: 1096239811.2, f_measure: 0.5857, kappa: 0.1684, kb_relative_information_score: 12.04, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5961, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9451, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, build_cpu_time: 0.0091, build_memory: 349365756.8, f_measure: 0.5857, kappa: 0.1684, kb_relative_information_score: 12.04, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5961, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9451, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.0284, build_memory: 286797270.4, f_measure: 0.6211, kappa: 0.2355, kb_relative_information_score: 12.435, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6279, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9383, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.0271, build_memory: 1188579172, f_measure: 0.6211, kappa: 0.2355, kb_relative_information_score: 12.435, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6279, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9383, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, build_cpu_time: 0.0545, build_memory: 406818707.2, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 39.689, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7514, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, build_cpu_time: 0.054, build_memory: 289940280, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 39.689, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7514, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, build_cpu_time: 0.054, build_memory: 648202156, f_measure: 0.5977, kappa: 0.1909, kb_relative_information_score: 12.1594, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6069, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9353, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, build_cpu_time: 0.0271, build_memory: 539512489.6, f_measure: 0.7659, kappa: 0.5267, kb_relative_information_score: 36.0556, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8231, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, build_cpu_time: 0.0256, build_memory: 328906205.6, f_measure: 0.7659, kappa: 0.5267, kb_relative_information_score: 36.0556, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8231, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, build_cpu_time: 0.0253, build_memory: 249838584.8, f_measure: 0.7659, kappa: 0.5267, kb_relative_information_score: 36.0556, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8231, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0285, build_memory: 467005852, f_measure: 0.8494, kappa: 0.6951, kb_relative_information_score: 43.3123, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7241, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0425, build_memory: 1052087230.4, f_measure: 0.8494, kappa: 0.6951, kb_relative_information_score: 43.3123, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7241, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, build_cpu_time: 0.0104, build_memory: 521019076.8, f_measure: 0.7328, kappa: 0.4617, kb_relative_information_score: 48.1638, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7486, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9806, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, build_cpu_time: 0.0065, build_memory: 417620209.6, f_measure: 0.7328, kappa: 0.4617, kb_relative_information_score: 48.1638, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7486, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9806, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 10.5134, build_memory: 122431794.4, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 55.7649, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7333, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 24.8283, build_memory: 54295845.6, f_measure: 0.84, kappa: 0.6768, kb_relative_information_score: 55.6311, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.728, scimark_benchmark: 934.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 0.0162, build_memory: 125114598.4, f_measure: 0.7586, kappa: 0.5188, kb_relative_information_score: 22.1684, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.799, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8673, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 0.0573, build_memory: 117661344, f_measure: 0.7898, kappa: 0.5749, kb_relative_information_score: 56.9275, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7897, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7965, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, build_cpu_time: 0.0284, build_memory: 105739576, f_measure: 0.7702, kappa: 0.5407, kb_relative_information_score: 22.1405, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8063, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8694, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, build_cpu_time: 0.0067, build_memory: 1192795538.4, f_measure: 0.7816, kappa: 0.5625, kb_relative_information_score: 23.6574, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8136, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601, scimark_benchmark: 898.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, build_cpu_time: 0.1512, build_memory: 2358096774.4, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.2743, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8176, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.0041, build_memory: 2686847049.6, f_measure: 0.732, kappa: 0.4726, kb_relative_information_score: 22.897, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7961, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8662, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, build_cpu_time: 0.0013, build_memory: 2566235313.6, f_measure: 0.7229, kappa: 0.4526, kb_relative_information_score: 23.5072, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7773, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.3459, build_memory: 115938635.2, f_measure: 0.8092, kappa: 0.6138, kb_relative_information_score: 48.7043, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7226, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.6188, build_memory: 1281276556, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 48.1863, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.718, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 1.2265, build_memory: 864456996, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 49.892, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7008, scimark_benchmark: 942.728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.3068, build_memory: 1159466613.6, f_measure: 0.8802, kappa: 0.7586, kb_relative_information_score: 72.0353, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8811, predictive_accuracy: 0.88, prior_entropy: 0.9931, recall: 0.88, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6741, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.1462, build_memory: 626796304.8, f_measure: 0.8602, kappa: 0.7183, kb_relative_information_score: 69.6361, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8611, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7074, scimark_benchmark: 934.1739,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 0.0717, build_memory: 51693196, f_measure: 0.8602, kappa: 0.7183, kb_relative_information_score: 69.5399, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8611, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7004, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, build_cpu_time: 0.061, build_memory: 109388133.6, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 62.8979, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7859, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, build_cpu_time: 0.0568, build_memory: 87127864, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 62.8979, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7859, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.1831, build_memory: 2785085154.4, f_measure: 0.8376, kappa: 0.6715, kb_relative_information_score: 43.0274, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8466, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7301, scimark_benchmark: 945.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.3955, build_memory: 2420508651.2, f_measure: 0.8384, kappa: 0.6728, kb_relative_information_score: 42.9484, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8431, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7282, scimark_benchmark: 944.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.1274, build_memory: 723116729.6, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 42.2133, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7271, scimark_benchmark: 939.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, build_cpu_time: 0.086, build_memory: 607398028.8, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 42.0142, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7361, scimark_benchmark: 947.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 0.0315, build_memory: 2618421012.8, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 42.1103, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7449, scimark_benchmark: 908.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, build_cpu_time: 0.0238, build_memory: 1791974496.8, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 40.1631, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7672, scimark_benchmark: 948.9266,

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