OpenML
Supervised Classification on usp05-ft

Supervised Classification on usp05-ft

Task 3908 Supervised Classification usp05-ft 321 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8597, kappa: 0.6624, kb_relative_information_score: 39.9284, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6108, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8421, kappa: 0.6087, kb_relative_information_score: 32.0726, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8243, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.7117, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8926, kappa: 0.7837, kb_relative_information_score: 43.9086, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8726, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.6475, scimark_benchmark: 1064.8317, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8455, kappa: 0.64, kb_relative_information_score: 37.5081, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8194, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.7514, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9074, kappa: 0.8157, kb_relative_information_score: 43.8732, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8916, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5904, scimark_benchmark: 909.1698, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9449, kappa: 0.8897, kb_relative_information_score: 52.6048, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9338, predictive_accuracy: 0.9583, prior_entropy: 1.4392, recall: 0.9583, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.4559, scimark_benchmark: 1342.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8092, kappa: 0.5078, kb_relative_information_score: 27.9491, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7917, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8116, scimark_benchmark: 1318.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8899, kappa: 0.7604, kb_relative_information_score: 41.1478, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8669, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.6299, scimark_benchmark: 1337.8643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9029, kappa: 0.7788, kb_relative_information_score: 45.0783, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.895, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.161, root_relative_squared_error: 0.623, scimark_benchmark: 1337.5749, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9074, kappa: 0.8157, kb_relative_information_score: 46.4176, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8916, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.549, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9308, kappa: 0.8528, kb_relative_information_score: 49.9844, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9176, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5266, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.883, kappa: 0.7356, kb_relative_information_score: 41.086, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8659, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6966, scimark_benchmark: 1088.605, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.8566, kappa: 0.6618, kb_relative_information_score: 32.8191, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8351, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.7394, scimark_benchmark: 1337.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8601, kappa: 0.6732, kb_relative_information_score: 36.7925, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8717, predictive_accuracy: 0.8611, prior_entropy: 1.4392, recall: 0.8611, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8238, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8751, kappa: 0.7205, kb_relative_information_score: 34.4431, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.851, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.6642, scimark_benchmark: 1324.5988, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8751, kappa: 0.7205, kb_relative_information_score: 34.4367, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.851, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.6666, scimark_benchmark: 1345.4669, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8596, kappa: 0.6714, kb_relative_information_score: 34.125, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8361, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.6691, scimark_benchmark: 1299.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8596, kappa: 0.6714, kb_relative_information_score: 33.0124, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8361, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.6762, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 49.9849, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5265, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8455, kappa: 0.64, kb_relative_information_score: 37.5081, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8194, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.7514, scimark_benchmark: 1348.3809, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8253, kappa: 0.5753, kb_relative_information_score: 29.0699, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8364, predictive_accuracy: 0.8194, prior_entropy: 1.4392, recall: 0.8194, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9307, scimark_benchmark: 1360.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8332, kappa: 0.6073, kb_relative_information_score: 31.6744, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8418, predictive_accuracy: 0.8333, prior_entropy: 1.4392, recall: 0.8333, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9037, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7743, kappa: 0.4437, kb_relative_information_score: 13.4309, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7257, predictive_accuracy: 0.8333, prior_entropy: 1.4392, recall: 0.8333, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8285, scimark_benchmark: 1313.9606, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9308, kappa: 0.8528, kb_relative_information_score: 51.2645, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9176, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4593, scimark_benchmark: 1328.4045, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6906, kappa: 0.1957, kb_relative_information_score: 12.0877, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.6796, predictive_accuracy: 0.7083, prior_entropy: 1.4392, recall: 0.7083, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.2065, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9308, kappa: 0.8528, kb_relative_information_score: 45.1158, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9176, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.518, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4175, f_measure: 0.6616, kb_relative_information_score: -1.1618, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0058, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.7572, kappa: 0.3371, kb_relative_information_score: 17.1489, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.729, predictive_accuracy: 0.8194, prior_entropy: 1.4392, recall: 0.8194, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.8929, scimark_benchmark: 1300.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9002, kappa: 0.7791, kb_relative_information_score: 15.8285, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8879, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8286, scimark_benchmark: 1329.4984, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8861, kappa: 0.7545, kb_relative_information_score: 40.011, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.6413, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9074, kappa: 0.8157, kb_relative_information_score: 43.8786, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8916, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5904, scimark_benchmark: 1333.1945, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 50.1074, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.5163, scimark_benchmark: 1341.7207, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 51.3191, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4924, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9375, kappa: 0.8303, kb_relative_information_score: 49.0326, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9465, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5002, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8597, kappa: 0.6624, kb_relative_information_score: -16.759, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 1.3405, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.074, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8596, kappa: 0.6714, kb_relative_information_score: 34.1512, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8361, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.6703, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 49.9077, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.5269, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8073, kappa: 0.524, kb_relative_information_score: 31.005, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.778, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.7271, scimark_benchmark: 1404.1865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8418, kappa: 0.6195, kb_relative_information_score: 32.9541, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.7143, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9163, kappa: 0.8111, kb_relative_information_score: 47.979, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9096, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.5737, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 49.9849, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5265, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 50.1074, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.5163, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9306, kappa: 0.8491, kb_relative_information_score: 51.3191, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9188, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4924, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4175, f_measure: 0.6616, kb_relative_information_score: -1.1618, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0058, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9158, kappa: 0.8114, kb_relative_information_score: 44.8067, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.5252, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4175, f_measure: 0.6616, kb_relative_information_score: -1.1618, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0058, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9308, kappa: 0.8528, kb_relative_information_score: 49.1315, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9176, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4744, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6616, kb_relative_information_score: 16.7541, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0856, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8504, kappa: 0.6412, kb_relative_information_score: 31.5175, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8302, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.6933, scimark_benchmark: 901.0726, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9, kappa: 0.7672, kb_relative_information_score: 32.2799, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8907, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.165, root_relative_squared_error: 0.6386, scimark_benchmark: 935.8834, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.7506, kappa: 0.3134, kb_relative_information_score: 23.8215, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7613, predictive_accuracy: 0.8056, prior_entropy: 1.4392, recall: 0.8056, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8454, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9381, kappa: 0.8602, kb_relative_information_score: 50.9675, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9329, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.5112, scimark_benchmark: 939.2687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9381, kappa: 0.8602, kb_relative_information_score: 50.9675, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9329, predictive_accuracy: 0.9444, prior_entropy: 1.4392, recall: 0.9444, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.5112, scimark_benchmark: 940.2751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.9493, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5061, scimark_benchmark: 915.2795, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.6616, kb_relative_information_score: -33.479, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.6175, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3268, root_relative_squared_error: 1.2645, scimark_benchmark: 947.0793, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.0553, build_memory: 291910394.4211, f_measure: 0.9449, kappa: 0.8897, kb_relative_information_score: -27.8041, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9338, predictive_accuracy: 0.9583, prior_entropy: 1.4392, recall: 0.9583, relative_absolute_error: 1.5703, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.2236, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.0529, build_memory: 1379487712.7368, f_measure: 0.9449, kappa: 0.8897, kb_relative_information_score: -27.8041, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9338, predictive_accuracy: 0.9583, prior_entropy: 1.4392, recall: 0.9583, relative_absolute_error: 1.5703, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.2236, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.0585, build_memory: 515639357.3684, f_measure: 0.9449, kappa: 0.8897, kb_relative_information_score: -27.8041, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9338, predictive_accuracy: 0.9583, prior_entropy: 1.4392, recall: 0.9583, relative_absolute_error: 1.5703, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.2236, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.048, build_memory: 822844385.6842, f_measure: 0.9449, kappa: 0.8897, kb_relative_information_score: -27.8041, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.9338, predictive_accuracy: 0.9583, prior_entropy: 1.4392, recall: 0.9583, relative_absolute_error: 1.5703, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.2236, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 0.0035, build_memory: 477601866, f_measure: 0.896, kappa: 0.767, kb_relative_information_score: 42.0002, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8788, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.6292, scimark_benchmark: 926.9332,

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