Task
Supervised Classification on OVA_Omentum

Supervised Classification on OVA_Omentum

Task 3973 Supervised Classification OVA_Omentum 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.9413, kappa: 0.3819, kb_relative_information_score: 135.1371, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9415, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.097, scimark_benchmark: 1242.4654, usercpu_time_millis: 15910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9402, kappa: 0.2945, kb_relative_information_score: -126.0273, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.936, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9613, scimark_benchmark: 1025.0939, usercpu_time_millis: 6870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9259, kb_relative_information_score: -537.8747, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.8773, scimark_benchmark: 976.56, usercpu_time_millis: 4110, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -146.5711, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.2253, scimark_benchmark: 917.1506, usercpu_time_millis: 176790, usercpu_time_millis_testing: 176790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1274.3298, usercpu_time_millis: 25210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 25160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078, scimark_benchmark: 958.7046, usercpu_time_millis: 14410, usercpu_time_millis_testing: 11030, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.9442, kappa: 0.4303, kb_relative_information_score: 171.2587, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9463, predictive_accuracy: 0.9424, prior_entropy: 0.2882, recall: 0.9424, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0002, scimark_benchmark: 932.1776, usercpu_time_millis: 63950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 63900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9432, kappa: 0.3492, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9399, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1183.8913, usercpu_time_millis: 19160, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 18910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.9265, kappa: 0.2698, kb_relative_information_score: -431.4878, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9312, predictive_accuracy: 0.9223, prior_entropy: 0.2882, recall: 0.9223, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.2385, scimark_benchmark: 1065.239, usercpu_time_millis: 560170, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 559630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9462, kappa: 0.4052, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391, scimark_benchmark: 1379.5698, usercpu_time_millis: 8720, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9417, kappa: 0.3512, kb_relative_information_score: -1033.7966, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.9402, scimark_benchmark: 1600.7525, usercpu_time_millis: 206700, usercpu_time_millis_testing: 206700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9441, kappa: 0.356, kb_relative_information_score: -1095.1133, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9409, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.882, scimark_benchmark: 1189.8987, usercpu_time_millis: 330120, usercpu_time_millis_testing: 330110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.9422, kappa: 0.3486, kb_relative_information_score: 226.2888, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9392, predictive_accuracy: 0.9463, prior_entropy: 0.2882, recall: 0.9463, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2297, root_relative_squared_error: 1.0553, scimark_benchmark: 1636.8176, usercpu_time_millis: 2962070, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2962020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.9436, kappa: 0.3643, kb_relative_information_score: 294.4401, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9408, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0514, scimark_benchmark: 1567.8378, usercpu_time_millis: 3143610, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 3142000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.9093, kappa: 0.3747, kb_relative_information_score: -1234.7173, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.8828, prior_entropy: 0.2882, recall: 0.8828, relative_absolute_error: 1.2287, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3407, root_relative_squared_error: 1.5656, scimark_benchmark: 1542.6749, usercpu_time_millis: 3123050, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3122910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9433, kappa: 0.2872, kb_relative_information_score: -140.9287, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9553, prior_entropy: 0.2882, recall: 0.9553, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8271, scimark_benchmark: 1615.1399, usercpu_time_millis: 3081930, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3081860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1278.8619, usercpu_time_millis: 4087560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4087510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.9407, kappa: 0.3054, kb_relative_information_score: -5.3889, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9367, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.9453, scimark_benchmark: 1632.9213, usercpu_time_millis: 2964560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2964520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.9412, kappa: 0.3537, kb_relative_information_score: 208.1262, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0905, scimark_benchmark: 1445.3614, usercpu_time_millis: 3461890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3461850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.9403, kappa: 0.2563, kb_relative_information_score: 25.6524, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9387, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.8801, scimark_benchmark: 1299.492, usercpu_time_millis: 4129070, usercpu_time_millis_testing: 3550, usercpu_time_millis_training: 4125520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.9178, kappa: 0.3384, kb_relative_information_score: -549.8789, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9439, predictive_accuracy: 0.9003, prior_entropy: 0.2882, recall: 0.9003, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2317, root_relative_squared_error: 1.0649, scimark_benchmark: 987.2501, usercpu_time_millis: 211530, usercpu_time_millis_testing: 211520, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9352, kappa: 0.1739, kb_relative_information_score: -52.939, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9328, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.189, root_relative_squared_error: 0.8687, scimark_benchmark: 1406.2431, usercpu_time_millis: 3464110, usercpu_time_millis_testing: 3720, usercpu_time_millis_training: 3460390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.946, kappa: 0.4557, kb_relative_information_score: 250.7492, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9488, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.9185, scimark_benchmark: 1541.4628, usercpu_time_millis: 3946850, usercpu_time_millis_testing: 4300, usercpu_time_millis_training: 3942550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.9259, kb_relative_information_score: 14.773, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 938.5982, usercpu_time_millis: 1255170, usercpu_time_millis_testing: 308740, usercpu_time_millis_training: 946430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9362, kappa: 0.245, kb_relative_information_score: 302.3076, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9311, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9997, scimark_benchmark: 1514.5979, usercpu_time_millis: 541420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 541380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.9401, kappa: 0.2864, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1452.9459, usercpu_time_millis: 3527230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3527190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.9295, kappa: 0.3192, kb_relative_information_score: -296.948, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9365, predictive_accuracy: 0.9236, prior_entropy: 0.2882, recall: 0.9236, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2724, root_relative_squared_error: 1.2518, scimark_benchmark: 1237.7153, usercpu_time_millis: 4803260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4803200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.9452, kappa: 0.4029, kb_relative_information_score: 229.6413, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9436, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9797, scimark_benchmark: 1176.6319, usercpu_time_millis: 4499930, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4499830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9456, kappa: 0.3605, kb_relative_information_score: 332.5987, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9427, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.9391, scimark_benchmark: 1480.8909, usercpu_time_millis: 3458290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3458260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.9453, kappa: 0.4188, kb_relative_information_score: 224.2041, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.945, predictive_accuracy: 0.9456, prior_entropy: 0.2882, recall: 0.9456, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2294, root_relative_squared_error: 1.0544, scimark_benchmark: 838.2681, usercpu_time_millis: 22770, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 22660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 649.9633, usercpu_time_millis: 30520, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9268, kappa: 0.0213, kb_relative_information_score: -508.8938, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9199, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.8763, scimark_benchmark: 483.5637, usercpu_time_millis: 11040, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 10590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.941, kappa: 0.2929, kb_relative_information_score: -99.6038, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9372, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.952, scimark_benchmark: 581.3055, usercpu_time_millis: 13010, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 12910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.9402, kappa: 0.4231, kb_relative_information_score: 13.2272, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9466, predictive_accuracy: 0.9353, prior_entropy: 0.2882, recall: 0.9353, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2206, root_relative_squared_error: 1.0136, scimark_benchmark: 855.6762, usercpu_time_millis: 76700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 76570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9362, kappa: 0.245, kb_relative_information_score: 302.3076, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9311, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9997, scimark_benchmark: 1501.0017, usercpu_time_millis: 557280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 557160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9483, kappa: 0.4151, kb_relative_information_score: 104.5717, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.9366, kappa: 0.2479, kb_relative_information_score: 238.5552, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9316, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9402, kappa: 0.2945, kb_relative_information_score: -126.0273, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.936, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.9267, kappa: 0.2444, kb_relative_information_score: -233.0936, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9285, predictive_accuracy: 0.9249, prior_entropy: 0.2882, recall: 0.9249, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.274, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.9259, kb_relative_information_score: -567.3243, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.9507, kappa: 0.4712, kb_relative_information_score: 384.2654, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.95, predictive_accuracy: 0.9515, prior_entropy: 0.2882, recall: 0.9515, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9189, kappa: 0.3935, kb_relative_information_score: -856.4851, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.8984, prior_entropy: 0.2882, recall: 0.8984, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9351, kappa: 0.1839, kb_relative_information_score: -226.9304, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.931, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9252, kappa: -0.0025, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.8947, kappa: 0.1676, kb_relative_information_score: -1495.895, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9248, predictive_accuracy: 0.8712, prior_entropy: 0.2882, recall: 0.8712, relative_absolute_error: 1.3525, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -141.8067, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.9259, kb_relative_information_score: -15799.8675, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.1329, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4889, root_relative_squared_error: 2.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.9456, kappa: 0.3541, kb_relative_information_score: 421.1289, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9428, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.95, kappa: 0.4123, kb_relative_information_score: 195.0079, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.948, predictive_accuracy: 0.956, prior_entropy: 0.2882, recall: 0.956, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -5.2768, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9476, kappa: 0.3756, kb_relative_information_score: 19.4731, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9547, prior_entropy: 0.2882, recall: 0.9547, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.9454, kappa: 0.3936, kb_relative_information_score: -152.6212, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9431, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9532, kappa: 0.4281, kb_relative_information_score: -115.416, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9555, predictive_accuracy: 0.9612, prior_entropy: 0.2882, recall: 0.9612, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9415, kappa: 0.273, kb_relative_information_score: -726.0309, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9401, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9393, kappa: 0.2316, kb_relative_information_score: -479.3363, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9396, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.9259, kb_relative_information_score: -15700.3388, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.0679, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4828, root_relative_squared_error: 2.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9259, kb_relative_information_score: -509.7448, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.9259, kb_relative_information_score: -329.3544, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.207, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9432, kappa: 0.3492, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9399, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.9339, kappa: 0.1759, kb_relative_information_score: -139.1788, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9282, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9705,

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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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