Task
Supervised Classification on AP_Breast_Omentum

Supervised Classification on AP_Breast_Omentum

Task 3961 Supervised Classification AP_Breast_Omentum 77 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.892, kappa: 0.6221, kb_relative_information_score: 198.7411, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.8924, predictive_accuracy: 0.8979, prior_entropy: 0.6896, recall: 0.8979, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9662, kappa: 0.8853, kb_relative_information_score: 352.1702, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9664, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9535, kappa: 0.8401, kb_relative_information_score: 314.5063, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9544, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9662, kappa: 0.8853, kb_relative_information_score: 344.4039, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9664, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9666, kappa: 0.8876, kb_relative_information_score: 363.5489, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9665, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9579, kappa: 0.8612, kb_relative_information_score: 246.1271, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9591, predictive_accuracy: 0.9572, prior_entropy: 0.6896, recall: 0.9572, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9561, kappa: 0.8494, kb_relative_information_score: 348.8159, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9568, predictive_accuracy: 0.9572, prior_entropy: 0.6896, recall: 0.9572, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.5178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.952, kappa: 0.8378, kb_relative_information_score: 341.0297, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9518, predictive_accuracy: 0.9525, prior_entropy: 0.6896, recall: 0.9525, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.213, root_relative_squared_error: 0.551, scimark_benchmark: 1150.4212, usercpu_time_millis: 2790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.7349, kb_relative_information_score: 3.0822, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.3866, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9579, kappa: 0.8539, kb_relative_information_score: 277.1133, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9606, predictive_accuracy: 0.9596, prior_entropy: 0.6896, recall: 0.9596, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9548, kappa: 0.8482, kb_relative_information_score: 343.7319, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7349, kb_relative_information_score: 45.9956, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.1258, scimark_benchmark: 1586.7278, usercpu_time_millis: 1472656.25, usercpu_time_millis_testing: 87656.25, usercpu_time_millis_training: 1385000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9618, kappa: 0.8716, kb_relative_information_score: 355.6221, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9617, predictive_accuracy: 0.962, prior_entropy: 0.6896, recall: 0.962, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5043, scimark_benchmark: 1922.3298, usercpu_time_millis: 13781.25, usercpu_time_millis_testing: 6968.75, usercpu_time_millis_training: 6812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9639, kappa: 0.8777, kb_relative_information_score: 359.5855, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9639, predictive_accuracy: 0.9644, prior_entropy: 0.6896, recall: 0.9644, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4883, scimark_benchmark: 1922.3298, usercpu_time_millis: 14281.25, usercpu_time_millis_testing: 7093.75, usercpu_time_millis_training: 7187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7349, kb_relative_information_score: 113.8545, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.1063, scimark_benchmark: 1922.3298, usercpu_time_millis: 34796.875, usercpu_time_millis_testing: 19343.75, usercpu_time_millis_training: 15453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7349, kb_relative_information_score: 113.8545, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.1063, scimark_benchmark: 1280.301, usercpu_time_millis: 25656.25, usercpu_time_millis_testing: 11937.5, usercpu_time_millis_training: 13718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.7349, kb_relative_information_score: -36.4086, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0008, scimark_benchmark: 1399.0016, usercpu_time_millis: 1347050, usercpu_time_millis_testing: 58930, usercpu_time_millis_training: 1288120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7349, kb_relative_information_score: 113.8545, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.1063, scimark_benchmark: 1351.4586, usercpu_time_millis: 25380, usercpu_time_millis_testing: 13200, usercpu_time_millis_training: 12180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7349, kb_relative_information_score: 113.8545, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.1063, scimark_benchmark: 1368.9424, usercpu_time_millis: 71030, usercpu_time_millis_testing: 34740, usercpu_time_millis_training: 36290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9618, kappa: 0.8716, kb_relative_information_score: 355.6221, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9617, predictive_accuracy: 0.962, prior_entropy: 0.6896, recall: 0.962, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5043, scimark_benchmark: 1391.2912, usercpu_time_millis: 25280, usercpu_time_millis_testing: 11950, usercpu_time_millis_training: 13330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9639, kappa: 0.8777, kb_relative_information_score: 359.5855, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9639, predictive_accuracy: 0.9644, prior_entropy: 0.6896, recall: 0.9644, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4883, scimark_benchmark: 1695.2797, usercpu_time_millis: 22280, usercpu_time_millis_testing: 10270, usercpu_time_millis_training: 12010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.7349, kb_relative_information_score: 46.6735, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.125, scimark_benchmark: 1665.974, usercpu_time_millis: 577515.625, usercpu_time_millis_testing: 134531.25, usercpu_time_millis_training: 442984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9646, kappa: 0.8826, kb_relative_information_score: 359.5855, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.965, predictive_accuracy: 0.9644, prior_entropy: 0.6896, recall: 0.9644, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4883, scimark_benchmark: 1196.1221, usercpu_time_millis: 7720, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 7580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9646, kappa: 0.8826, kb_relative_information_score: 359.5855, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.965, predictive_accuracy: 0.9644, prior_entropy: 0.6896, recall: 0.9644, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4883, scimark_benchmark: 1303.2517, usercpu_time_millis: 6040, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9523, kappa: 0.8394, kb_relative_information_score: 330.2126, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9521, predictive_accuracy: 0.9525, prior_entropy: 0.6896, recall: 0.9525, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5581, scimark_benchmark: 1240.403, usercpu_time_millis: 3966400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3966380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9516, kappa: 0.8434, kb_relative_information_score: 335.8051, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9556, predictive_accuracy: 0.9501, prior_entropy: 0.6896, recall: 0.9501, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.5777, scimark_benchmark: 1353.088, usercpu_time_millis: 4420, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9667, kappa: 0.8887, kb_relative_information_score: 363.5489, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4717, scimark_benchmark: 1316.8314, usercpu_time_millis: 2760, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9646, kappa: 0.8826, kb_relative_information_score: 359.5855, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.965, predictive_accuracy: 0.9644, prior_entropy: 0.6896, recall: 0.9644, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4883, scimark_benchmark: 1503.604, usercpu_time_millis: 6000, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.7349, kb_relative_information_score: -57.4531, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 1.0416, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.3875, root_relative_squared_error: 1.0024, scimark_benchmark: 1441.6399, usercpu_time_millis: 281610, usercpu_time_millis_testing: 63410, usercpu_time_millis_training: 218200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8588, kappa: 0.5407, kb_relative_information_score: 177.6246, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.8638, predictive_accuracy: 0.8551, prior_entropy: 0.6896, recall: 0.8551, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9793, scimark_benchmark: 1217.9037, usercpu_time_millis: 514900, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 514810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9385, kappa: 0.7954, kb_relative_information_score: 313.9584, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9389, predictive_accuracy: 0.9382, prior_entropy: 0.6896, recall: 0.9382, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.6412, scimark_benchmark: 1375.3363, usercpu_time_millis: 11530, usercpu_time_millis_testing: 10320, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9662, kappa: 0.8853, kb_relative_information_score: 363.9151, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9664, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.464, scimark_benchmark: 1373.311, usercpu_time_millis: 160700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9433, kappa: 0.8112, kb_relative_information_score: 319.1881, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9436, predictive_accuracy: 0.943, prior_entropy: 0.6896, recall: 0.943, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.5904, scimark_benchmark: 992.1992, usercpu_time_millis: 12360, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 12240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9612, kappa: 0.8675, kb_relative_information_score: 332.6331, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9615, predictive_accuracy: 0.962, prior_entropy: 0.6896, recall: 0.962, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4934, scimark_benchmark: 837.634, usercpu_time_millis: 3430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9526, kappa: 0.8349, kb_relative_information_score: 247.3577, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9562, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.5514, scimark_benchmark: 1195.8407, usercpu_time_millis: 3640, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9514, kappa: 0.8419, kb_relative_information_score: 335.8051, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9545, predictive_accuracy: 0.9501, prior_entropy: 0.6896, recall: 0.9501, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.5777, scimark_benchmark: 1238.9942, usercpu_time_millis: 8320, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 5870,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.956, kappa: 0.8569, kb_relative_information_score: 343.7319, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.959, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.5495, scimark_benchmark: 1375.2197, usercpu_time_millis: 4450, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 1930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9624, kappa: 0.8754, kb_relative_information_score: 355.6221, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.963, predictive_accuracy: 0.962, prior_entropy: 0.6896, recall: 0.962, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5043, scimark_benchmark: 991.8955, usercpu_time_millis: 4640, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9469, kappa: 0.8197, kb_relative_information_score: 325.815, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9467, predictive_accuracy: 0.9477, prior_entropy: 0.6896, recall: 0.9477, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.219, root_relative_squared_error: 0.5665, scimark_benchmark: 808.8428, usercpu_time_millis: 9300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9669, kappa: 0.8899, kb_relative_information_score: 363.5489, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 0.6896, recall: 0.9667, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4717, scimark_benchmark: 752.0997, usercpu_time_millis: 8680, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 5950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9526, kappa: 0.8349, kb_relative_information_score: 240.9511, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9562, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.5619, scimark_benchmark: 1001.7477, usercpu_time_millis: 2240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9486, kappa: 0.8233, kb_relative_information_score: 310.9832, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9493, predictive_accuracy: 0.9501, prior_entropy: 0.6896, recall: 0.9501, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.5594, scimark_benchmark: 1122.7878, usercpu_time_millis: 1620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9385, kappa: 0.7954, kb_relative_information_score: 313.9584, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9389, predictive_accuracy: 0.9382, prior_entropy: 0.6896, recall: 0.9382, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.6412, scimark_benchmark: 1139.942, usercpu_time_millis: 14230, usercpu_time_millis_testing: 14230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9535, kappa: 0.8401, kb_relative_information_score: 346.0563, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.9544, predictive_accuracy: 0.9549, prior_entropy: 0.6896, recall: 0.9549, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5298, scimark_benchmark: 1331.306, usercpu_time_millis: 2750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2700,

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