Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1765 Supervised Classification anneal 298 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9455, kb_relative_information_score: 4018.427, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 1.2149, recall: 0.9782, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3122, scimark_benchmark: 851.2074, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9719, kappa: 0.9306, kb_relative_information_score: 3949.944, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9717, predictive_accuracy: 0.9724, prior_entropy: 1.2149, recall: 0.9724, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3343, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7853, kappa: 0.3988, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8258, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 932.438, usercpu_time_millis: 480, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9534, kappa: 0.8824, kb_relative_information_score: 3817.7131, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9594, predictive_accuracy: 0.9508, prior_entropy: 1.2149, recall: 0.9508, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.429, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9708, kappa: 0.9284, kb_relative_information_score: 4007.5841, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 1.2149, recall: 0.9717, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3518, scimark_benchmark: 938.5498, usercpu_time_millis: 2180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9777, kappa: 0.9449, kb_relative_information_score: 4014.7117, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9777, predictive_accuracy: 0.978, prior_entropy: 1.2149, recall: 0.978, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3138, scimark_benchmark: 936.2574, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7853, kappa: 0.3988, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8258, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 935.5664, usercpu_time_millis: 550, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9719, kappa: 0.9306, kb_relative_information_score: 3949.944, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9717, predictive_accuracy: 0.9724, prior_entropy: 1.2149, recall: 0.9724, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3343, scimark_benchmark: 941.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 944.0133, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 901.4991, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9847, kappa: 0.9625, kb_relative_information_score: 4112.931, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 1.2149, recall: 0.9851, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.2316, scimark_benchmark: 938.988, usercpu_time_millis: 20310, usercpu_time_millis_testing: 9100, usercpu_time_millis_training: 11210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9864, kappa: 0.9669, kb_relative_information_score: 4110.7282, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9868, predictive_accuracy: 0.9869, prior_entropy: 1.2149, recall: 0.9869, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.2318, scimark_benchmark: 901.6243, usercpu_time_millis: 8690, usercpu_time_millis_testing: 3550, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9865, kappa: 0.967, kb_relative_information_score: 4117.1428, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 1.2149, recall: 0.9869, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2361, scimark_benchmark: 928.7131, usercpu_time_millis: 5000, usercpu_time_millis_testing: 2230, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9853, kappa: 0.9641, kb_relative_information_score: 4110.9177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.2149, recall: 0.9857, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2399, scimark_benchmark: 939.7883, usercpu_time_millis: 1800, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.985, kappa: 0.9632, kb_relative_information_score: 4091.1731, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 1.2149, recall: 0.9853, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.2498, scimark_benchmark: 894.7131, usercpu_time_millis: 1000, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7585, kappa: 0.4088, kb_relative_information_score: 1241.0042, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.829, prior_entropy: 1.2149, recall: 0.829, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8337, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1264.0246, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8436, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.754, kappa: 0.3812, kb_relative_information_score: 1990.9383, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8212, prior_entropy: 1.2149, recall: 0.8212, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.231, root_relative_squared_error: 0.8946, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 1015.138, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9753, kappa: 0.944, kb_relative_information_score: 4066.8629, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9765, predictive_accuracy: 0.978, prior_entropy: 1.2149, recall: 0.978, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2877, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9814, kappa: 0.9542, kb_relative_information_score: 4116.3037, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9815, predictive_accuracy: 0.9817, prior_entropy: 1.2149, recall: 0.9817, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2697, scimark_benchmark: 936.7184, usercpu_time_millis: 2210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7744, kappa: 0.4362, kb_relative_information_score: 1609.5151, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7468, predictive_accuracy: 0.829, prior_entropy: 1.2149, recall: 0.829, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8011, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1354.5533, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 1324.6442, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9534, kappa: 0.8824, kb_relative_information_score: 3817.7131, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9594, predictive_accuracy: 0.9508, prior_entropy: 1.2149, recall: 0.9508, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.429, scimark_benchmark: 1323.5075, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1331.1314, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1309.2287, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9719, kappa: 0.9306, kb_relative_information_score: 3949.944, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9717, predictive_accuracy: 0.9724, prior_entropy: 1.2149, recall: 0.9724, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3343, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1317.5348, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9455, kb_relative_information_score: 4018.427, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 1.2149, recall: 0.9782, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3122, scimark_benchmark: 1253.0071, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7853, kappa: 0.3988, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8258, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1352.3373, usercpu_time_millis: 870, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1324.2313, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1333.1149, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7853, kappa: 0.3988, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8258, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1322.7257, usercpu_time_millis: 860, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1336.156, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9708, kappa: 0.9284, kb_relative_information_score: 4007.5841, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 1.2149, recall: 0.9717, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3518, scimark_benchmark: 1360.0477, usercpu_time_millis: 3150, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7853, kappa: 0.3988, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8258, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9379, scimark_benchmark: 1267.3105, usercpu_time_millis: 880, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9534, kappa: 0.8824, kb_relative_information_score: 3817.7131, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9594, predictive_accuracy: 0.9508, prior_entropy: 1.2149, recall: 0.9508, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.429, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1297.2338, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 1326.8946, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9455, kb_relative_information_score: 4018.427, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 1.2149, recall: 0.9782, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3122, scimark_benchmark: 1371.9645, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1288.1375, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9708, kappa: 0.9284, kb_relative_information_score: 4007.5841, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 1.2149, recall: 0.9717, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3518, scimark_benchmark: 1328.1857, usercpu_time_millis: 3020, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 1261.7298, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1347.917, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,

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

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From your own software

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

OpenML APIs