Task
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 4280 Supervised Classification sleuth_ex2016 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 1319.2526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 1324.7353, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6793, kappa: 0.3358, kb_relative_information_score: 187.0683, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6786, predictive_accuracy: 0.6816, prior_entropy: 0.9794, recall: 0.6816, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9826, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7336, kappa: 0.4493, kb_relative_information_score: 370.0656, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7331, predictive_accuracy: 0.7345, prior_entropy: 0.9794, recall: 0.7345, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9904, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 1371.9645, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.1953, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9414, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6793, kappa: 0.3358, kb_relative_information_score: 187.0683, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6786, predictive_accuracy: 0.6816, prior_entropy: 0.9794, recall: 0.6816, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9826, scimark_benchmark: 1288.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.1953, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9414, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 176.2141, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9274, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7374, kappa: 0.466, kb_relative_information_score: 212.5225, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.744, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8954, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7219, kappa: 0.4227, kb_relative_information_score: 125.9049, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7297, predictive_accuracy: 0.7299, prior_entropy: 0.9794, recall: 0.7299, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9116, scimark_benchmark: 1351.6526, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7164, kappa: 0.4114, kb_relative_information_score: 123.3217, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7255, predictive_accuracy: 0.7253, prior_entropy: 0.9794, recall: 0.7253, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9139, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6952, kappa: 0.3682, kb_relative_information_score: 116.1026, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.707, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9214, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.728, kappa: 0.4381, kb_relative_information_score: 305.9891, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7276, predictive_accuracy: 0.7287, prior_entropy: 0.9794, recall: 0.7287, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9112, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7343, kappa: 0.4501, kb_relative_information_score: 200.0556, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7338, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.879, scimark_benchmark: 892.0148, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6908, kappa: 0.3588, kb_relative_information_score: 315.1326, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6907, predictive_accuracy: 0.6943, prior_entropy: 0.9794, recall: 0.6943, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0616, scimark_benchmark: 1305.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6977, kappa: 0.3738, kb_relative_information_score: 117.1612, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.712, predictive_accuracy: 0.7103, prior_entropy: 0.9794, recall: 0.7103, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9193, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7363, kappa: 0.4554, kb_relative_information_score: 363.9366, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7359, predictive_accuracy: 0.7368, prior_entropy: 0.9794, recall: 0.7368, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9567, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 176.2141, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9274, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.713, kappa: 0.4069, kb_relative_information_score: 259.5772, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7125, predictive_accuracy: 0.7138, prior_entropy: 0.9794, recall: 0.7138, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9086, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.1953, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9414, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7477, kappa: 0.4788, kb_relative_information_score: 412.6518, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7473, predictive_accuracy: 0.7483, prior_entropy: 0.9794, recall: 0.7483, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0187, scimark_benchmark: 1334.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.4963, kappa: -0.0363, kb_relative_information_score: 20.0554, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.4972, predictive_accuracy: 0.4954, prior_entropy: 0.9794, recall: 0.4954, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0164, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.4907, kappa: 0.0704, kb_relative_information_score: 162.513, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7204, predictive_accuracy: 0.6103, prior_entropy: 0.9794, recall: 0.6103, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6242, root_relative_squared_error: 1.2674, scimark_benchmark: 1313.0885, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6464, kappa: 0.272, kb_relative_information_score: 130.1674, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6469, predictive_accuracy: 0.646, prior_entropy: 0.9794, recall: 0.646, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9907, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.7304, kappa: 0.4507, kb_relative_information_score: 198.7076, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7358, predictive_accuracy: 0.7287, prior_entropy: 0.9794, recall: 0.7287, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9022, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6978, kappa: 0.3771, kb_relative_information_score: 192.79, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6978, predictive_accuracy: 0.6977, prior_entropy: 0.9794, recall: 0.6977, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9664, scimark_benchmark: 1349.9741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6814, kappa: 0.3386, kb_relative_information_score: 114.917, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6874, predictive_accuracy: 0.6908, prior_entropy: 0.9794, recall: 0.6908, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9289, scimark_benchmark: 1321.5205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6665, kappa: 0.3105, kb_relative_information_score: 159.4837, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6657, predictive_accuracy: 0.6678, prior_entropy: 0.9794, recall: 0.6678, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0044, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6883, kappa: 0.3597, kb_relative_information_score: 183.9406, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6896, predictive_accuracy: 0.6874, prior_entropy: 0.9794, recall: 0.6874, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9886, scimark_benchmark: 1321.6263, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.6637, kappa: 0.304, kb_relative_information_score: 262.5685, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6628, predictive_accuracy: 0.6655, prior_entropy: 0.9794, recall: 0.6655, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.1743, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5384, kappa: 0.0602, kb_relative_information_score: 104.1473, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.5523, predictive_accuracy: 0.5782, prior_entropy: 0.9794, recall: 0.5782, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6495, root_relative_squared_error: 1.3187, scimark_benchmark: 1317.1452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6592, kappa: 0.2964, kb_relative_information_score: 238.8126, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6587, predictive_accuracy: 0.6598, prior_entropy: 0.9794, recall: 0.6598, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1262, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.6321, kappa: 0.2395, kb_relative_information_score: 204.2028, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6312, predictive_accuracy: 0.6333, prior_entropy: 0.9794, recall: 0.6333, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2295, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6769, kappa: 0.3298, kb_relative_information_score: 289.6669, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6765, predictive_accuracy: 0.6805, prior_entropy: 0.9794, recall: 0.6805, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.1477, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4333, kb_relative_information_score: -1.3383, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0008, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6561, kappa: 0.2933, kb_relative_information_score: 199.66, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6573, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1216, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, build_cpu_time: 0.6064, build_memory: 958098212.0552, f_measure: 0.7265, kappa: 0.4366, kb_relative_information_score: 373.1503, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7267, predictive_accuracy: 0.7264, prior_entropy: 0.9794, recall: 0.7264, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0595, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, build_cpu_time: 0.245, build_memory: 1652815149.2874, f_measure: 0.7399, kappa: 0.4632, kb_relative_information_score: 394.4819, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7396, predictive_accuracy: 0.7402, prior_entropy: 0.9794, recall: 0.7402, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0326, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, build_cpu_time: 0.139, build_memory: 1504920026.2897, f_measure: 0.7342, kappa: 0.4516, kb_relative_information_score: 390.3183, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 0.9794, recall: 0.7345, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0286, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, build_cpu_time: 0.0625, build_memory: 1061243730.1149, f_measure: 0.7145, kappa: 0.4105, kb_relative_information_score: 354.2893, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7141, predictive_accuracy: 0.7149, prior_entropy: 0.9794, recall: 0.7149, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0641, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.049, build_memory: 1537001555.0529, f_measure: 0.7148, kappa: 0.4102, kb_relative_information_score: 347.8892, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7143, predictive_accuracy: 0.7161, prior_entropy: 0.9794, recall: 0.7161, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0568, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, build_cpu_time: 0.3305, build_memory: 1327621810.6667, f_measure: 0.7098, kappa: 0.3992, kb_relative_information_score: 227.411, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7092, predictive_accuracy: 0.7115, prior_entropy: 0.9794, recall: 0.7115, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8818, scimark_benchmark: 940.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0897, build_memory: 856373802.2253, f_measure: 0.7195, kappa: 0.4219, kb_relative_information_score: 238.5597, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9794, recall: 0.7195, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8841, scimark_benchmark: 947.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, build_cpu_time: 0.0669, build_memory: 2582341569.223, f_measure: 0.7101, kappa: 0.402, kb_relative_information_score: 234.9656, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7099, predictive_accuracy: 0.7103, prior_entropy: 0.9794, recall: 0.7103, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8902, scimark_benchmark: 945.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, build_cpu_time: 0.0442, build_memory: 139081926.1241, f_measure: 0.7101, kappa: 0.402, kb_relative_information_score: 234.9656, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7099, predictive_accuracy: 0.7103, prior_entropy: 0.9794, recall: 0.7103, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8902, scimark_benchmark: 927.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, build_cpu_time: 0.0364, build_memory: 1684414267.6966, f_measure: 0.7171, kappa: 0.4167, kb_relative_information_score: 230.6844, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.717, predictive_accuracy: 0.7172, prior_entropy: 0.9794, recall: 0.7172, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8957, scimark_benchmark: 929.1607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 0.015, build_memory: 2510302263.7241, f_measure: 0.7132, kappa: 0.4079, kb_relative_information_score: 229.8207, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7128, predictive_accuracy: 0.7138, prior_entropy: 0.9794, recall: 0.7138, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9047, scimark_benchmark: 939.5205,

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