Task
Supervised Classification on GCM

Supervised Classification on GCM

Task 4646 Supervised Classification GCM 38 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3), predictive_accuracy(1, 3), root_mean_squared_error(1, 3), prior_e... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.5367, kappa: 0.4918, kb_relative_information_score: 943.9684, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5405, predictive_accuracy: 0.5347, prior_entropy: 3.7108, recall: 0.5347, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9598, scimark_benchmark: 915.9324, usercpu_time_millis: 7099990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7099980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.548, kappa: 0.5005, kb_relative_information_score: 955.3335, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5571, predictive_accuracy: 0.5421, prior_entropy: 3.7108, recall: 0.5421, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9607, scimark_benchmark: 1386.5717, usercpu_time_millis: 2220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.6583, kappa: 0.6249, kb_relative_information_score: 1166.8265, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.674, predictive_accuracy: 0.6574, prior_entropy: 3.7108, recall: 0.6574, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.8652, scimark_benchmark: 1339.944, usercpu_time_millis: 13720, usercpu_time_millis_testing: 12950, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.663, kappa: 0.6296, kb_relative_information_score: 1175.859, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6795, predictive_accuracy: 0.6616, prior_entropy: 3.7108, recall: 0.6616, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8598, scimark_benchmark: 1358.4523, usercpu_time_millis: 13290, usercpu_time_millis_testing: 12650, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.7417, kappa: 0.7128, kb_relative_information_score: 1372.5403, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.7497, predictive_accuracy: 0.7368, prior_entropy: 3.7108, recall: 0.7368, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6844, scimark_benchmark: 1329.273, usercpu_time_millis: 134430, usercpu_time_millis_training: 134430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.6266, kappa: 0.6068, kb_relative_information_score: 896.9423, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6421, predictive_accuracy: 0.6416, prior_entropy: 3.7108, recall: 0.6416, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.7784, scimark_benchmark: 1301.9956, usercpu_time_millis: 135130, usercpu_time_millis_training: 135130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.5133, kappa: 0.4837, kb_relative_information_score: 657.039, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5935, predictive_accuracy: 0.5284, prior_entropy: 3.7108, recall: 0.5284, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.8715, scimark_benchmark: 1339.4189, usercpu_time_millis: 4490, usercpu_time_millis_testing: 3540, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.4493, kappa: 0.4328, kb_relative_information_score: 130.083, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5477, predictive_accuracy: 0.4853, prior_entropy: 3.7108, recall: 0.4853, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.9903, scimark_benchmark: 916.6405, usercpu_time_millis: 620, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.3618, kappa: 0.2991, kb_relative_information_score: 571.6513, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.3677, predictive_accuracy: 0.3574, prior_entropy: 3.7108, recall: 0.3574, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.303, root_relative_squared_error: 1.1848, scimark_benchmark: 925.4974, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7565, kappa: 0.7289, kb_relative_information_score: 1391.2379, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.765, predictive_accuracy: 0.7516, prior_entropy: 3.7108, recall: 0.7516, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.6916, scimark_benchmark: 1313.5726, usercpu_time_millis: 278140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 278130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.5495, kappa: 0.5339, kb_relative_information_score: 873.4882, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5461, predictive_accuracy: 0.5753, prior_entropy: 3.7108, recall: 0.5753, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.201, root_relative_squared_error: 0.7861, scimark_benchmark: 1034.1273, usercpu_time_millis: 11320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 11260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.612, kappa: 0.5907, kb_relative_information_score: 894.0618, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6181, predictive_accuracy: 0.6268, prior_entropy: 3.7108, recall: 0.6268, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.781, scimark_benchmark: 869.6028, usercpu_time_millis: 76060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 76050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.1213, kappa: 0.1151, kb_relative_information_score: 394.4658, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0868, predictive_accuracy: 0.2147, prior_entropy: 3.7108, recall: 0.2147, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 938.9967, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.1213, kappa: 0.1151, kb_relative_information_score: 394.4658, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0868, predictive_accuracy: 0.2147, prior_entropy: 3.7108, recall: 0.2147, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 1337.7959, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.1213, kappa: 0.1151, kb_relative_information_score: 394.4658, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0868, predictive_accuracy: 0.2147, prior_entropy: 3.7108, recall: 0.2147, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 916.6405, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.1213, kappa: 0.1151, kb_relative_information_score: 394.4658, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0868, predictive_accuracy: 0.2147, prior_entropy: 3.7108, recall: 0.2147, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 1318.1432, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.1213, kappa: 0.1151, kb_relative_information_score: 394.4658, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0868, predictive_accuracy: 0.2147, prior_entropy: 3.7108, recall: 0.2147, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 933.3136, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.5356, kappa: 0.4902, kb_relative_information_score: 1028.1759, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5813, predictive_accuracy: 0.5321, prior_entropy: 3.7108, recall: 0.5321, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8032, scimark_benchmark: 1442.7264, usercpu_time_millis: 7820, usercpu_time_millis_testing: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.545, kappa: 0.4863, kb_relative_information_score: 1054.7733, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6063, predictive_accuracy: 0.5284, prior_entropy: 3.7108, recall: 0.5284, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8181, scimark_benchmark: 1442.7264, usercpu_time_millis: 7380, usercpu_time_millis_testing: 7380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.3355, kappa: 0.3084, kb_relative_information_score: 274.529, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5037, predictive_accuracy: 0.39, prior_entropy: 3.7108, recall: 0.39, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9763, scimark_benchmark: 937.6212, usercpu_time_millis: 53120, usercpu_time_millis_testing: 50230, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7, kappa: 0.6667, kb_relative_information_score: 388.9877, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.7293, predictive_accuracy: 0.6947, prior_entropy: 3.7108, recall: 0.6947, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9555, scimark_benchmark: 882.7843, usercpu_time_millis: 7090, usercpu_time_millis_testing: 4600, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.6944, kappa: 0.6583, kb_relative_information_score: 1266.4064, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.713, predictive_accuracy: 0.6868, prior_entropy: 3.7108, recall: 0.6868, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.7584, scimark_benchmark: 1333.5799, usercpu_time_millis: 165560, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 164800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7743, kappa: 0.7494, kb_relative_information_score: 1402.9616, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.7893, predictive_accuracy: 0.7705, prior_entropy: 3.7108, recall: 0.7705, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.708, scimark_benchmark: 1280.6952, usercpu_time_millis: 10380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.6026, kappa: 0.581, kb_relative_information_score: 827.8145, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6194, predictive_accuracy: 0.6184, prior_entropy: 3.7108, recall: 0.6184, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8023, scimark_benchmark: 1307.4861, usercpu_time_millis: 2830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.3649, kappa: 0.3032, kb_relative_information_score: 586.3344, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.3692, predictive_accuracy: 0.3616, prior_entropy: 3.7108, recall: 0.3616, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.302, root_relative_squared_error: 1.181, scimark_benchmark: 1354.2491, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.4148, kappa: 0.3797, kb_relative_information_score: 767.3053, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.407, predictive_accuracy: 0.4337, prior_entropy: 3.7108, recall: 0.4337, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9151, scimark_benchmark: 1307.3269, usercpu_time_millis: 2260, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.5637, kappa: 0.5217, kb_relative_information_score: 1007.9818, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5888, predictive_accuracy: 0.5616, prior_entropy: 3.7108, recall: 0.5616, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.865, scimark_benchmark: 1325.942, usercpu_time_millis: 50980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.5221, kappa: 0.5012, kb_relative_information_score: 930.2681, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.558, predictive_accuracy: 0.5468, prior_entropy: 3.7108, recall: 0.5468, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.995, scimark_benchmark: 1290.1085, usercpu_time_millis: 14740, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 12800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0063, kb_relative_information_score: 58.6489, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0034, predictive_accuracy: 0.0579, prior_entropy: 3.7108, recall: 0.0579, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.3669, root_relative_squared_error: 1.4346, scimark_benchmark: 1404.1865, usercpu_time_millis: 27970, usercpu_time_millis_testing: 6150, usercpu_time_millis_training: 21820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.5238, kappa: 0.4776, kb_relative_information_score: 889.3882, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5279, predictive_accuracy: 0.5216, prior_entropy: 3.7108, recall: 0.5216, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2565, root_relative_squared_error: 1.003, scimark_benchmark: 1330.0803, usercpu_time_millis: 11360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.2456, kappa: 0.2064, kb_relative_information_score: 416.4807, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.2266, predictive_accuracy: 0.28, prior_entropy: 3.7108, recall: 0.28, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.3207, root_relative_squared_error: 1.2541, scimark_benchmark: 1384.4418, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.518, kappa: 0.471, kb_relative_information_score: 878.1343, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.5224, predictive_accuracy: 0.5153, prior_entropy: 3.7108, recall: 0.5153, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2632, root_relative_squared_error: 1.029, scimark_benchmark: 1351.788, usercpu_time_millis: 77800, usercpu_time_millis_training: 77800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.0431, kb_relative_information_score: 3.1762, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.0249, predictive_accuracy: 0.1579, prior_entropy: 3.7108, recall: 0.1579, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0003, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.5989, kappa: 0.5583, kb_relative_information_score: 1046.1419, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6053, predictive_accuracy: 0.5953, prior_entropy: 3.7108, recall: 0.5953, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9142, scimark_benchmark: 1505.597, usercpu_time_millis: 5500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 163.8577, build_memory: 2809180659.04, f_measure: 0.72, kappa: 0.6957, kb_relative_information_score: 1137.6975, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.7294, predictive_accuracy: 0.7216, prior_entropy: 3.7108, recall: 0.7216, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.6975, scimark_benchmark: 931.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, build_cpu_time: 74.3969, build_memory: 194210242.16, f_measure: 0.6852, kappa: 0.6594, kb_relative_information_score: 1125.7084, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6885, predictive_accuracy: 0.6884, prior_entropy: 3.7108, recall: 0.6884, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.7089, scimark_benchmark: 928.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, build_cpu_time: 68.3318, build_memory: 1149338180.96, f_measure: 0.6852, kappa: 0.6594, kb_relative_information_score: 1125.7084, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1309, number_of_instances: 1900, precision: 0.6885, predictive_accuracy: 0.6884, prior_entropy: 3.7108, recall: 0.6884, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.2557, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.7089, scimark_benchmark: 607.5071,

    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