OpenML
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 3880 Supervised Classification arrhythmia 518 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7588, kappa: 0.5141, kb_relative_information_score: 142.212, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7588, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 938.0414, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7562, kappa: 0.5083, kb_relative_information_score: 220.6608, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9949, recall: 0.7566, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9464, scimark_benchmark: 912.5006, usercpu_time_millis: 560, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7118, kappa: 0.4273, kb_relative_information_score: 199.4755, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7424, predictive_accuracy: 0.7235, prior_entropy: 0.9949, recall: 0.7235, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0538, scimark_benchmark: 934.1747, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7588, kappa: 0.5141, kb_relative_information_score: 142.212, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7588, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 885.0921, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 155.7535, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8132, predictive_accuracy: 0.8097, prior_entropy: 0.9949, recall: 0.8097, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7773, scimark_benchmark: 932.0242, usercpu_time_millis: 6330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8142, kappa: 0.6255, kb_relative_information_score: 153.6931, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8211, predictive_accuracy: 0.8164, prior_entropy: 0.9949, recall: 0.8164, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7866, scimark_benchmark: 1299.5783, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7916, kappa: 0.5801, kb_relative_information_score: 152.4315, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7989, predictive_accuracy: 0.7942, prior_entropy: 0.9949, recall: 0.7942, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7938, scimark_benchmark: 860.584, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7847, kappa: 0.5656, kb_relative_information_score: 237.4007, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9949, recall: 0.7854, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8206, scimark_benchmark: 930.5999, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7953, kappa: 0.5869, kb_relative_information_score: 223.0597, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7973, predictive_accuracy: 0.7965, prior_entropy: 0.9949, recall: 0.7965, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7747, scimark_benchmark: 925.4974, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7579, kappa: 0.5121, kb_relative_information_score: 187.375, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7647, predictive_accuracy: 0.7611, prior_entropy: 0.9949, recall: 0.7611, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8146, scimark_benchmark: 869.6028, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8152, kappa: 0.6272, kb_relative_information_score: 181.5922, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8177, predictive_accuracy: 0.8164, prior_entropy: 0.9949, recall: 0.8164, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 924.1296, usercpu_time_millis: 3420, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8088, kappa: 0.6142, kb_relative_information_score: 184.4632, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8104, predictive_accuracy: 0.8097, prior_entropy: 0.9949, recall: 0.8097, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 933.3136, usercpu_time_millis: 1070, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7533, kappa: 0.5022, kb_relative_information_score: 223.1437, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7543, predictive_accuracy: 0.7544, prior_entropy: 0.9949, recall: 0.7544, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.951, scimark_benchmark: 930.5999, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 229.0494, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8096, predictive_accuracy: 0.8075, prior_entropy: 0.9949, recall: 0.8075, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7487, scimark_benchmark: 1304.6687, usercpu_time_millis: 2860, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7984, kappa: 0.5938, kb_relative_information_score: 200.1986, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8054, predictive_accuracy: 0.8009, prior_entropy: 0.9949, recall: 0.8009, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1250.8301, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7853, kappa: 0.5687, kb_relative_information_score: 176.5805, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8006, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7855, scimark_benchmark: 935.5075, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7422, kappa: 0.4847, kb_relative_information_score: 148.6057, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 0.9949, recall: 0.75, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8236, scimark_benchmark: 1304.9611, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7008, kappa: 0.4076, kb_relative_information_score: 112.7227, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7366, predictive_accuracy: 0.7146, prior_entropy: 0.9949, recall: 0.7146, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8736, scimark_benchmark: 1304.6687, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.5994, kappa: 0.2316, kb_relative_information_score: 90.2969, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6648, predictive_accuracy: 0.635, prior_entropy: 0.9949, recall: 0.635, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0197, scimark_benchmark: 1318.1432, usercpu_time_millis: 520, usercpu_time_millis_testing: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6044, kappa: 0.2309, kb_relative_information_score: 102.3604, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6511, predictive_accuracy: 0.6327, prior_entropy: 0.9949, recall: 0.6327, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0517, scimark_benchmark: 940.3347, usercpu_time_millis: 580, usercpu_time_millis_testing: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.4648, kappa: 0.0899, kb_relative_information_score: 13.5605, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5912, predictive_accuracy: 0.5199, prior_entropy: 0.9949, recall: 0.5199, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3907, scimark_benchmark: 1313.9994, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6771, kappa: 0.3772, kb_relative_information_score: 181.2508, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7571, predictive_accuracy: 0.7035, prior_entropy: 0.9949, recall: 0.7035, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.0928, scimark_benchmark: 1336.3256, usercpu_time_millis: 450, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7747, kappa: 0.5469, kb_relative_information_score: 249.9432, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7863, predictive_accuracy: 0.7788, prior_entropy: 0.9949, recall: 0.7788, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9441, scimark_benchmark: 1287.514, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7486, kappa: 0.4937, kb_relative_information_score: 176.4184, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7561, predictive_accuracy: 0.7522, prior_entropy: 0.9949, recall: 0.7522, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.84, scimark_benchmark: 1335.643, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.6124, kappa: 0.2325, kb_relative_information_score: 98.4158, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6232, predictive_accuracy: 0.6128, prior_entropy: 0.9949, recall: 0.6128, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2489, scimark_benchmark: 942.9708, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 160.064, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7132, predictive_accuracy: 0.7102, prior_entropy: 0.9949, recall: 0.7102, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 923.6051, usercpu_time_millis: 1080, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 1355.9413, usercpu_time_millis: 740, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 1250.8301, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 893.5298, usercpu_time_millis: 660, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8031, kappa: 0.6031, kb_relative_information_score: 151.9319, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8093, predictive_accuracy: 0.8053, prior_entropy: 0.9949, recall: 0.8053, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7873, scimark_benchmark: 1313.5726, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6775, kappa: 0.3523, kb_relative_information_score: 157.0064, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6789, predictive_accuracy: 0.677, prior_entropy: 0.9949, recall: 0.677, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1407, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7447, kappa: 0.485, kb_relative_information_score: 173.1993, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7451, predictive_accuracy: 0.7456, prior_entropy: 0.9949, recall: 0.7456, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9115, scimark_benchmark: 1319.9043, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7673, kappa: 0.5309, kb_relative_information_score: 199.6138, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7673, predictive_accuracy: 0.7677, prior_entropy: 0.9949, recall: 0.7677, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8772, scimark_benchmark: 1355.7054, usercpu_time_millis: 990, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7021, kappa: 0.3988, kb_relative_information_score: 181.2508, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7028, predictive_accuracy: 0.7035, prior_entropy: 0.9949, recall: 0.7035, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.0928, scimark_benchmark: 1386.5717, usercpu_time_millis: 1610, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 1442.7264, usercpu_time_millis: 3120, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 2610,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5456, kappa: 0.0841, kb_relative_information_score: 41.8456, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5462, predictive_accuracy: 0.5509, prior_entropy: 0.9949, recall: 0.5509, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3451, scimark_benchmark: 1351.788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7641, kappa: 0.527, kb_relative_information_score: 240.9165, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.782, predictive_accuracy: 0.7699, prior_entropy: 0.9949, recall: 0.7699, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9406, scimark_benchmark: 927.0753, usercpu_time_millis: 1260, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 876.8277, usercpu_time_millis: 620, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7647, kappa: 0.5299, kb_relative_information_score: 223.3027, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7903, predictive_accuracy: 0.7721, prior_entropy: 0.9949, recall: 0.7721, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8772, scimark_benchmark: 936.7115, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7933, kappa: 0.5829, kb_relative_information_score: 253.7154, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7946, predictive_accuracy: 0.7942, prior_entropy: 0.9949, recall: 0.7942, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 938.4285, usercpu_time_millis: 2590, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7847, kappa: 0.5656, kb_relative_information_score: 237.4007, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9949, recall: 0.7854, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8206, scimark_benchmark: 924.6116, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7996, kappa: 0.5956, kb_relative_information_score: 235.6668, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8021, predictive_accuracy: 0.8009, prior_entropy: 0.9949, recall: 0.8009, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7869, scimark_benchmark: 924.6116, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7953, kappa: 0.5869, kb_relative_information_score: 223.0597, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7973, predictive_accuracy: 0.7965, prior_entropy: 0.9949, recall: 0.7965, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7747, scimark_benchmark: 902.4773, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, build_cpu_time: 0.3963, build_memory: 442964539.823, f_measure: 0.7911, kappa: 0.5794, kb_relative_information_score: 149.8848, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8004, predictive_accuracy: 0.7942, prior_entropy: 0.9949, recall: 0.7942, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7905, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, build_cpu_time: 2.2942, build_memory: 822172811.1858, f_measure: 0.6307, kappa: 0.2555, kb_relative_information_score: 113.7596, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6333, predictive_accuracy: 0.635, prior_entropy: 0.9949, recall: 0.635, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5972, root_relative_squared_error: 1.1987, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, build_cpu_time: 1.2663, build_memory: 1309135439.9469, f_measure: 0.5995, kappa: 0.1918, kb_relative_information_score: 82.1466, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5995, predictive_accuracy: 0.6018, prior_entropy: 0.9949, recall: 0.6018, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6136, root_relative_squared_error: 1.2315, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.5788, build_memory: 657961738.7434, f_measure: 0.586, kappa: 0.1657, kb_relative_information_score: 65.7944, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5858, predictive_accuracy: 0.5863, prior_entropy: 0.9949, recall: 0.5863, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6113, root_relative_squared_error: 1.227, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, build_cpu_time: 0.2871, build_memory: 1403316138.7788, f_measure: 0.5677, kappa: 0.1281, kb_relative_information_score: 52.8566, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5672, predictive_accuracy: 0.5686, prior_entropy: 0.9949, recall: 0.5686, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5988, root_relative_squared_error: 1.2019, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, build_cpu_time: 0.1342, build_memory: 507116784.4248, f_measure: 0.5354, kappa: 0.0642, kb_relative_information_score: 38.4699, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.5354, predictive_accuracy: 0.5354, prior_entropy: 0.9949, recall: 0.5354, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5815, root_relative_squared_error: 1.1672, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 0.4068, build_memory: 868583013.2035, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 0.4104, build_memory: 1509060819.8761, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 0.3875, build_memory: 859262517.4513, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 0.4115, build_memory: 1595339097.0443, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 943.5504,

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