OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 1932 Supervised Classification heart-statlog 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 1281.7531, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.705, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 1264.9916, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7117, kappa: 0.4154, kb_relative_information_score: 846.5422, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7115, predictive_accuracy: 0.7122, prior_entropy: 0.9912, recall: 0.7122, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8665, scimark_benchmark: 1352.2099, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 1350.073, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8, kappa: 0.5949, kb_relative_information_score: 1219.4583, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7514, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7498, kappa: 0.4918, kb_relative_information_score: 1144.6276, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7516, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9089, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.791, kappa: 0.576, kb_relative_information_score: 1468.633, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.791, predictive_accuracy: 0.7915, prior_entropy: 0.9912, recall: 0.7915, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7787, scimark_benchmark: 1341.2341, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8397, kappa: 0.675, kb_relative_information_score: 1765.1526, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9912, recall: 0.84, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7275, scimark_benchmark: 892.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5866, kb_relative_information_score: 1368.0117, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.796, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7778, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.824, kappa: 0.6427, kb_relative_information_score: 1234.9354, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8249, predictive_accuracy: 0.8248, prior_entropy: 0.9912, recall: 0.8248, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.728, scimark_benchmark: 1330.8781, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5866, kb_relative_information_score: 1368.0117, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.796, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7778, scimark_benchmark: 1319.4881, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8301, kappa: 0.6552, kb_relative_information_score: 1499.9058, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8307, predictive_accuracy: 0.8307, prior_entropy: 0.9912, recall: 0.8307, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7143, scimark_benchmark: 854.5188, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8327, kappa: 0.6602, kb_relative_information_score: 1048.5889, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8344, predictive_accuracy: 0.8337, prior_entropy: 0.9912, recall: 0.8337, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7471, scimark_benchmark: 885.0921, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8224, kappa: 0.6393, kb_relative_information_score: 1037.0982, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8247, predictive_accuracy: 0.8237, prior_entropy: 0.9912, recall: 0.8237, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7559, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8, kappa: 0.5949, kb_relative_information_score: 1219.4583, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7514, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8048, kappa: 0.6037, kb_relative_information_score: 1595.0487, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.806, predictive_accuracy: 0.8059, prior_entropy: 0.9912, recall: 0.8059, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8255, scimark_benchmark: 1330.2021, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8248, kappa: 0.6442, kb_relative_information_score: 1233.3682, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8256, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7301, scimark_benchmark: 1325.2932, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7382, kappa: 0.4701, kb_relative_information_score: 1260.5062, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7384, predictive_accuracy: 0.7381, prior_entropy: 0.9912, recall: 0.7381, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0298, scimark_benchmark: 1310.6407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8332, kappa: 0.6615, kb_relative_information_score: 1536.9947, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8335, predictive_accuracy: 0.8337, prior_entropy: 0.9912, recall: 0.8337, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7074, scimark_benchmark: 1316.6866, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7613, kappa: 0.5156, kb_relative_information_score: 1328.3999, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7615, predictive_accuracy: 0.7622, prior_entropy: 0.9912, recall: 0.7622, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.876, scimark_benchmark: 1360.2999, usercpu_time_millis: 420, usercpu_time_millis_testing: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8249, kappa: 0.6446, kb_relative_information_score: 1740.8975, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8254, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8405, scimark_benchmark: 1298.4923, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7153, kappa: 0.4307, kb_relative_information_score: 764.1907, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7231, predictive_accuracy: 0.7144, prior_entropy: 0.9912, recall: 0.7144, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9078, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7887, kappa: 0.571, kb_relative_information_score: 1228.548, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7893, predictive_accuracy: 0.7896, prior_entropy: 0.9912, recall: 0.7896, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8282, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7773, kappa: 0.5483, kb_relative_information_score: 1428.4197, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8252, scimark_benchmark: 1329.8847, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7996, kappa: 0.593, kb_relative_information_score: 1218.7002, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9912, recall: 0.8007, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 1006.9991, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1285.0758,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7701, kappa: 0.534, kb_relative_information_score: 1274.6998, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.77, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8977, scimark_benchmark: 1384.8417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7382, kappa: 0.4701, kb_relative_information_score: 1260.5062, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7384, predictive_accuracy: 0.7381, prior_entropy: 0.9912, recall: 0.7381, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0298, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.705, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 1363.434, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 1391.6472, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7862, scimark_benchmark: 1335.4072, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 1301.9956, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7398, kappa: 0.4728, kb_relative_information_score: 1270.684, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7397, predictive_accuracy: 0.74, prior_entropy: 0.9912, recall: 0.74, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0262, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7631, kappa: 0.5188, kb_relative_information_score: 1101.4671, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7654, predictive_accuracy: 0.7652, prior_entropy: 0.9912, recall: 0.7652, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8625, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7697, kappa: 0.5324, kb_relative_information_score: 1158.979, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7702, predictive_accuracy: 0.7707, prior_entropy: 0.9912, recall: 0.7707, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648, scimark_benchmark: 1066.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7771, kappa: 0.5488, kb_relative_information_score: 1474.2396, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7772, predictive_accuracy: 0.777, prior_entropy: 0.9912, recall: 0.777, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9503, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6227, kappa: 0.2937, kb_relative_information_score: 918.5328, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7808, predictive_accuracy: 0.6759, prior_entropy: 0.9912, recall: 0.6759, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.1456, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7786, kappa: 0.5518, kb_relative_information_score: 1414.8881, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7787, predictive_accuracy: 0.7785, prior_entropy: 0.9912, recall: 0.7785, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9122, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.716, kappa: 0.4245, kb_relative_information_score: 1140.4084, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7159, predictive_accuracy: 0.7163, prior_entropy: 0.9912, recall: 0.7163, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0719, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7898, kappa: 0.573, kb_relative_information_score: 1551.5907, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7912, predictive_accuracy: 0.7911, prior_entropy: 0.9912, recall: 0.7911, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9198, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0442, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7788, kappa: 0.5511, kb_relative_information_score: 1343.5547, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7791, predictive_accuracy: 0.7796, prior_entropy: 0.9912, recall: 0.7796, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8788, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, build_cpu_time: 1.7469, build_memory: 847680620.56, f_measure: 0.7936, kappa: 0.5813, kb_relative_information_score: 1570.9202, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7936, predictive_accuracy: 0.7941, prior_entropy: 0.9912, recall: 0.7941, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9045, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, build_cpu_time: 0.8684, build_memory: 1661385850.48, f_measure: 0.8013, kappa: 0.597, kb_relative_information_score: 1606.9149, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8014, predictive_accuracy: 0.8019, prior_entropy: 0.9912, recall: 0.8019, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8884, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 0.4755, build_memory: 806888394.72, f_measure: 0.8049, kappa: 0.6044, kb_relative_information_score: 1630.785, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8048, predictive_accuracy: 0.8052, prior_entropy: 0.9912, recall: 0.8052, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.873, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, build_cpu_time: 0.2657, build_memory: 566176024.08, f_measure: 0.8063, kappa: 0.6071, kb_relative_information_score: 1636.3088, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8063, predictive_accuracy: 0.8067, prior_entropy: 0.9912, recall: 0.8067, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8634, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, build_cpu_time: 0.1257, build_memory: 1409689723.68, f_measure: 0.8086, kappa: 0.6119, kb_relative_information_score: 1651.6837, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8085, predictive_accuracy: 0.8089, prior_entropy: 0.9912, recall: 0.8089, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8505, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 1.031, build_memory: 797753950.56, f_measure: 0.8344, kappa: 0.6638, kb_relative_information_score: 1355.6304, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8354, predictive_accuracy: 0.8352, prior_entropy: 0.9912, recall: 0.8352, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7143, scimark_benchmark: 790.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, build_cpu_time: 1.4478, build_memory: 115113091.36, f_measure: 0.8377, kappa: 0.6704, kb_relative_information_score: 1359.8139, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8389, predictive_accuracy: 0.8385, prior_entropy: 0.9912, recall: 0.8385, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.712, scimark_benchmark: 935.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, build_cpu_time: 0.3662, build_memory: 1210429659.04, f_measure: 0.8215, kappa: 0.6381, kb_relative_information_score: 1366.8306, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8215, predictive_accuracy: 0.8219, prior_entropy: 0.9912, recall: 0.8219, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7246, scimark_benchmark: 912.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, build_cpu_time: 0.2061, build_memory: 132609347.28, f_measure: 0.8166, kappa: 0.628, kb_relative_information_score: 1358.9569, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 0.9912, recall: 0.817, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 842.8201,

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