Task
Supervised Classification on AP_Breast_Uterus

Supervised Classification on AP_Breast_Uterus

Task 3982 Supervised Classification AP_Breast_Uterus 64 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

64 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9174, kappa: 0.7898, kb_relative_information_score: 324.6196, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9186, predictive_accuracy: 0.9167, prior_entropy: 0.8356, recall: 0.9167, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9378, kappa: 0.8397, kb_relative_information_score: 376.4903, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.8356, recall: 0.938, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.943, kappa: 0.8504, kb_relative_information_score: 354.5465, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9453, predictive_accuracy: 0.9444, prior_entropy: 0.8356, recall: 0.9444, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.961, kappa: 0.8986, kb_relative_information_score: 393.5954, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.8356, recall: 0.9615, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9699, kappa: 0.9224, kb_relative_information_score: 427.6929, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.8356, recall: 0.9701, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.968, kappa: 0.9179, kb_relative_information_score: 388.3181, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.8356, recall: 0.9679, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9551, kappa: 0.8845, kb_relative_information_score: 407.0107, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.8356, recall: 0.9551, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.6228, kb_relative_information_score: 1.2817, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.5403, predictive_accuracy: 0.735, prior_entropy: 0.8356, recall: 0.735, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9412, kappa: 0.8467, kb_relative_information_score: 343.8024, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9421, predictive_accuracy: 0.9423, prior_entropy: 0.8356, recall: 0.9423, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9292, kappa: 0.8176, kb_relative_information_score: 374.104, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.929, predictive_accuracy: 0.9295, prior_entropy: 0.8356, recall: 0.9295, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.6228, kb_relative_information_score: 17.1746, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.5403, predictive_accuracy: 0.735, prior_entropy: 0.8356, recall: 0.735, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.003, scimark_benchmark: 1123.7444, usercpu_time_millis: 699400, usercpu_time_millis_testing: 176920, usercpu_time_millis_training: 522480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9314, kappa: 0.8235, kb_relative_information_score: 370.0481, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9313, predictive_accuracy: 0.9316, prior_entropy: 0.8356, recall: 0.9316, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5781, scimark_benchmark: 1140.2115, usercpu_time_millis: 2570100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2570090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9475, kappa: 0.868, kb_relative_information_score: 396.6677, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9507, predictive_accuracy: 0.9466, prior_entropy: 0.8356, recall: 0.9466, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5237, scimark_benchmark: 1346.516, usercpu_time_millis: 5330, usercpu_time_millis_testing: 2830, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9507, kappa: 0.8728, kb_relative_information_score: 402.3087, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.8356, recall: 0.9509, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5023, scimark_benchmark: 1299.0169, usercpu_time_millis: 3460, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.6228, kb_relative_information_score: 18.0032, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.5403, predictive_accuracy: 0.735, prior_entropy: 0.8356, recall: 0.735, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0034, scimark_benchmark: 1321.7792, usercpu_time_millis: 600600, usercpu_time_millis_testing: 138790, usercpu_time_millis_training: 461810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9635, kappa: 0.906, kb_relative_information_score: 419.2315, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4319, scimark_benchmark: 1339.4303, usercpu_time_millis: 7380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.88, kappa: 0.6912, kb_relative_information_score: 305.2193, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.8798, predictive_accuracy: 0.8803, prior_entropy: 0.8356, recall: 0.8803, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7788, scimark_benchmark: 1252.7065, usercpu_time_millis: 460510, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 460400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9488, kappa: 0.869, kb_relative_information_score: 397.7728, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 0.8356, recall: 0.9487, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.512, scimark_benchmark: 1344.1776, usercpu_time_millis: 13430, usercpu_time_millis_testing: 12030, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9676, kappa: 0.9162, kb_relative_information_score: 427.0381, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.8356, recall: 0.9679, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3838, scimark_benchmark: 1388.8663, usercpu_time_millis: 179180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 179150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9378, kappa: 0.8397, kb_relative_information_score: 378.9503, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.8356, recall: 0.938, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5492, scimark_benchmark: 1247.9207, usercpu_time_millis: 11400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9197, kappa: 0.7911, kb_relative_information_score: 333.2855, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9198, predictive_accuracy: 0.9209, prior_entropy: 0.8356, recall: 0.9209, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.27, root_relative_squared_error: 0.6119, scimark_benchmark: 955.1641, usercpu_time_millis: 4300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9521, kappa: 0.8748, kb_relative_information_score: 314.893, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9534, predictive_accuracy: 0.953, prior_entropy: 0.8356, recall: 0.953, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4953, scimark_benchmark: 1062.0504, usercpu_time_millis: 3010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9496, kappa: 0.8729, kb_relative_information_score: 399.4882, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9524, predictive_accuracy: 0.9487, prior_entropy: 0.8356, recall: 0.9487, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5131, scimark_benchmark: 1178.3448, usercpu_time_millis: 15650, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 11890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9231, kappa: 0.8025, kb_relative_information_score: 365.7153, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9231, predictive_accuracy: 0.9231, prior_entropy: 0.8356, recall: 0.9231, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6191, scimark_benchmark: 1275.3855, usercpu_time_millis: 4510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9409, kappa: 0.8503, kb_relative_information_score: 388.2063, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9426, predictive_accuracy: 0.9402, prior_entropy: 0.8356, recall: 0.9402, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5543, scimark_benchmark: 1339.3969, usercpu_time_millis: 5030, usercpu_time_millis_testing: 2710, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9507, kappa: 0.8728, kb_relative_information_score: 402.3087, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.8356, recall: 0.9509, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5023, scimark_benchmark: 1283.5378, usercpu_time_millis: 2690, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9635, kappa: 0.906, kb_relative_information_score: 419.2315, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4319, scimark_benchmark: 1387.1476, usercpu_time_millis: 5520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.878, kappa: 0.6865, kb_relative_information_score: 301.2722, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.8779, predictive_accuracy: 0.8782, prior_entropy: 0.8356, recall: 0.8782, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7909, scimark_benchmark: 686.5428, usercpu_time_millis: 853380, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 853300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9488, kappa: 0.869, kb_relative_information_score: 397.7728, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 0.8356, recall: 0.9487, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.512, scimark_benchmark: 980.0755, usercpu_time_millis: 16220, usercpu_time_millis_testing: 14400, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9676, kappa: 0.9162, kb_relative_information_score: 427.0381, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.8356, recall: 0.9679, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3838, scimark_benchmark: 942.7217, usercpu_time_millis: 225640, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 225540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9443, kappa: 0.8566, kb_relative_information_score: 388.759, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9442, predictive_accuracy: 0.9444, prior_entropy: 0.8356, recall: 0.9444, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.225, root_relative_squared_error: 0.5099, scimark_benchmark: 1104.357, usercpu_time_millis: 12920, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9215, kappa: 0.7951, kb_relative_information_score: 333.4858, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9222, predictive_accuracy: 0.9231, prior_entropy: 0.8356, recall: 0.9231, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.6078, scimark_benchmark: 763.9544, usercpu_time_millis: 4120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9496, kappa: 0.868, kb_relative_information_score: 318.4214, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9518, predictive_accuracy: 0.9509, prior_entropy: 0.8356, recall: 0.9509, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4837, scimark_benchmark: 578.6484, usercpu_time_millis: 4050, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9492, kappa: 0.871, kb_relative_information_score: 399.4882, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9504, predictive_accuracy: 0.9487, prior_entropy: 0.8356, recall: 0.9487, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5131, scimark_benchmark: 955.839, usercpu_time_millis: 13130, usercpu_time_millis_testing: 3110, usercpu_time_millis_training: 10020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9274, kappa: 0.8135, kb_relative_information_score: 371.3562, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9274, predictive_accuracy: 0.9274, prior_entropy: 0.8356, recall: 0.9274, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6011, scimark_benchmark: 1032.0114, usercpu_time_millis: 4710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9634, kappa: 0.9055, kb_relative_information_score: 419.9234, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.42, scimark_benchmark: 1129.5787, usercpu_time_millis: 2635380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2635360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9637, kappa: 0.907, kb_relative_information_score: 413.1869, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.409, scimark_benchmark: 1195.5702, usercpu_time_millis: 2502070, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 2501880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9419, kappa: 0.85, kb_relative_information_score: 392.5622, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9418, predictive_accuracy: 0.9423, prior_entropy: 0.8356, recall: 0.9423, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5252, scimark_benchmark: 1114.6313, usercpu_time_millis: 2552960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2552940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9592, kappa: 0.895, kb_relative_information_score: 413.5906, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.8356, recall: 0.9594, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4566, scimark_benchmark: 1582.3329, usercpu_time_millis: 2146830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2146820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9676, kappa: 0.9162, kb_relative_information_score: 427.0381, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.8356, recall: 0.9679, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3838, scimark_benchmark: 1378.5913, usercpu_time_millis: 169520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 169510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.6228, kb_relative_information_score: 16.8395, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.5403, predictive_accuracy: 0.735, prior_entropy: 0.8356, recall: 0.735, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0027, scimark_benchmark: 1411.2116, usercpu_time_millis: 293370, usercpu_time_millis_testing: 64920, usercpu_time_millis_training: 228450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9631, kappa: 0.904, kb_relative_information_score: 413.4784, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.964, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3951, scimark_benchmark: 1317.7772, usercpu_time_millis: 3230050, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 3228310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9631, kappa: 0.904, kb_relative_information_score: 410.5116, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.964, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3951, scimark_benchmark: 1425.5792, usercpu_time_millis: 1988100, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 1987460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9321, kappa: 0.8221, kb_relative_information_score: 382.1576, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 0.8356, recall: 0.9338, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4853, scimark_benchmark: 1372.2004, usercpu_time_millis: 22370, usercpu_time_millis_testing: 22370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9698, kappa: 0.9216, kb_relative_information_score: 416.1372, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.8356, recall: 0.9701, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.377, scimark_benchmark: 1296.7023, usercpu_time_millis: 2411970, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 2411370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9526, kappa: 0.8774, kb_relative_information_score: 405.1291, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9526, predictive_accuracy: 0.953, prior_entropy: 0.8356, recall: 0.953, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4913, scimark_benchmark: 1313.1303, usercpu_time_millis: 2135020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2135000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9266, kappa: 0.8096, kb_relative_information_score: 343.7469, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9265, predictive_accuracy: 0.9274, prior_entropy: 0.8356, recall: 0.9274, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.59, scimark_benchmark: 1631.1824, usercpu_time_millis: 1732150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1732140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9576, kappa: 0.892, kb_relative_information_score: 410.7701, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9583, predictive_accuracy: 0.9573, prior_entropy: 0.8356, recall: 0.9573, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4684, scimark_benchmark: 1663.9905, usercpu_time_millis: 1774230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1774160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9742, kappa: 0.9331, kb_relative_information_score: 375.2913, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.8356, recall: 0.9744, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.393, scimark_benchmark: 1577.9097, usercpu_time_millis: 1751870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1751850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9513, kappa: 0.8761, kb_relative_information_score: 402.3261, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9522, predictive_accuracy: 0.9509, prior_entropy: 0.8356, recall: 0.9509, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.5021, scimark_benchmark: 1576.1648, usercpu_time_millis: 1820920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1820850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9551, kappa: 0.8845, kb_relative_information_score: 406.2097, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.8356, recall: 0.9551, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4789, scimark_benchmark: 1584.2558, usercpu_time_millis: 1795180, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1794930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.9188, kappa: 0.7915, kb_relative_information_score: 358.0848, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9188, predictive_accuracy: 0.9188, prior_entropy: 0.8356, recall: 0.9188, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6343, scimark_benchmark: 1401.4851, usercpu_time_millis: 2036890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2036870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.943, kappa: 0.8504, kb_relative_information_score: 376.9799, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9453, predictive_accuracy: 0.9444, prior_entropy: 0.8356, recall: 0.9444, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4439, scimark_benchmark: 973.5907, usercpu_time_millis: 33590, usercpu_time_millis_testing: 33590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9525, kappa: 0.8768, kb_relative_information_score: 385.6595, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.8356, recall: 0.953, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4339, scimark_benchmark: 1048.4906, usercpu_time_millis: 28040, usercpu_time_millis_testing: 28040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9507, kappa: 0.8728, kb_relative_information_score: 402.3087, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.8356, recall: 0.9509, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5023, scimark_benchmark: 1208.512, usercpu_time_millis: 1560, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.879, kappa: 0.6913, kb_relative_information_score: 304.9343, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.88, predictive_accuracy: 0.8782, prior_entropy: 0.8356, recall: 0.8782, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7828, scimark_benchmark: 1198.8481, usercpu_time_millis: 490730, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 490630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9635, kappa: 0.906, kb_relative_information_score: 419.2315, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.8356, recall: 0.9637, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4319, scimark_benchmark: 854.7325, usercpu_time_millis: 7890, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9574, kappa: 0.8908, kb_relative_information_score: 410.7701, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 0.8356, recall: 0.9573, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4684, scimark_benchmark: 1024.8012, usercpu_time_millis: 4690, usercpu_time_millis_testing: 3170, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9275, kappa: 0.8144, kb_relative_information_score: 368.7172, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9278, predictive_accuracy: 0.9274, prior_entropy: 0.8356, recall: 0.9274, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5752, scimark_benchmark: 1146.8099, usercpu_time_millis: 11440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9574, kappa: 0.8908, kb_relative_information_score: 410.7701, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 0.8356, recall: 0.9573, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4684, scimark_benchmark: 917.0647, usercpu_time_millis: 9760, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 6600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9451, kappa: 0.8558, kb_relative_information_score: 309.8457, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9479, predictive_accuracy: 0.9466, prior_entropy: 0.8356, recall: 0.9466, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4995, scimark_benchmark: 1019.5146, usercpu_time_millis: 2210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9309, kappa: 0.8208, kb_relative_information_score: 346.7922, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9308, predictive_accuracy: 0.9316, prior_entropy: 0.8356, recall: 0.9316, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5728, scimark_benchmark: 1075.5063, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9488, kappa: 0.869, kb_relative_information_score: 397.7728, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 0.8356, recall: 0.9487, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.512, scimark_benchmark: 1099.4039, usercpu_time_millis: 11800, usercpu_time_millis_testing: 11800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9275, kappa: 0.8144, kb_relative_information_score: 371.3562, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.39, number_of_instances: 468, precision: 0.9278, predictive_accuracy: 0.9274, prior_entropy: 0.8356, recall: 0.9274, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4413, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6011, scimark_benchmark: 1305.664, usercpu_time_millis: 2210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2200,

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