Task
Supervised Classification on tr23.wc

Supervised Classification on tr23.wc

Task 4228 Supervised Classification tr23.wc 90 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9137, kappa: 0.8791, kb_relative_information_score: 1745.8008, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9139, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4649, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9489, kappa: 0.9277, kb_relative_information_score: 1802.4925, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9502, predictive_accuracy: 0.9485, prior_entropy: 2.1253, recall: 0.9485, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3535, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9327, kappa: 0.9056, kb_relative_information_score: 1696.419, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9331, predictive_accuracy: 0.9333, prior_entropy: 2.1253, recall: 0.9333, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.404, scimark_benchmark: 906.0979, usercpu_time_millis: 195110, usercpu_time_millis_testing: 89610, usercpu_time_millis_training: 105500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8431, kappa: 0.7802, kb_relative_information_score: 1497.9712, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8447, predictive_accuracy: 0.8441, prior_entropy: 2.1253, recall: 0.8441, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6153, scimark_benchmark: 906.0979, usercpu_time_millis: 40421890, usercpu_time_millis_testing: 2910, usercpu_time_millis_training: 40418980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9137, kappa: 0.8791, kb_relative_information_score: 1745.8008, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9139, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4649, scimark_benchmark: 942.2392, usercpu_time_millis: 1600, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9489, kappa: 0.9277, kb_relative_information_score: 1802.4925, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9502, predictive_accuracy: 0.9485, prior_entropy: 2.1253, recall: 0.9485, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3535, scimark_benchmark: 945.6228, usercpu_time_millis: 15740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9421, kappa: 0.9188, kb_relative_information_score: 1714.9009, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 2.1253, recall: 0.9426, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3811, scimark_benchmark: 928.821, usercpu_time_millis: 333120, usercpu_time_millis_testing: 151130, usercpu_time_millis_training: 181990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4617, f_measure: 0.2752, kb_relative_information_score: 2.9003, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.199, predictive_accuracy: 0.4461, prior_entropy: 2.1253, recall: 0.4461, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.0005, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 85.7675, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9974, scimark_benchmark: 938.3115, usercpu_time_millis: 1990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 85.7675, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9974, scimark_benchmark: 936.1714, usercpu_time_millis: 1900, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 85.7675, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9974, scimark_benchmark: 941.9549, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 85.7675, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9974, scimark_benchmark: 940.0055, usercpu_time_millis: 2040, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 85.7675, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9974, scimark_benchmark: 940.0055, usercpu_time_millis: 1920, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2752, kb_relative_information_score: 373.0835, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.199, predictive_accuracy: 0.4461, prior_entropy: 2.1253, recall: 0.4461, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.4297, root_relative_squared_error: 1.2473, scimark_benchmark: 922.8232, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9296, kappa: 0.9015, kb_relative_information_score: 1698.8859, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9307, predictive_accuracy: 0.9299, prior_entropy: 2.1253, recall: 0.9299, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4161, scimark_benchmark: 926.5859, usercpu_time_millis: 32380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 32360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.937, kappa: 0.9116, kb_relative_information_score: 1663.7294, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9392, predictive_accuracy: 0.9377, prior_entropy: 2.1253, recall: 0.9377, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4116, scimark_benchmark: 931.7994, usercpu_time_millis: 315000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 314960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.5985, kappa: 0.5151, kb_relative_information_score: 694.0221, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.597, predictive_accuracy: 0.6789, prior_entropy: 2.1253, recall: 0.6789, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.787, scimark_benchmark: 933.0918, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9137, kappa: 0.8791, kb_relative_information_score: 1745.8008, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9139, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4649, scimark_benchmark: 926.4745, usercpu_time_millis: 1490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9489, kappa: 0.9277, kb_relative_information_score: 1802.4925, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9502, predictive_accuracy: 0.9485, prior_entropy: 2.1253, recall: 0.9485, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3535, scimark_benchmark: 907.1091, usercpu_time_millis: 14760, usercpu_time_millis_training: 14760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9137, kappa: 0.8791, kb_relative_information_score: 1745.8008, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9139, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4649, scimark_benchmark: 944.5341, usercpu_time_millis: 1660, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.947, kappa: 0.925, kb_relative_information_score: 1795.1947, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9489, predictive_accuracy: 0.9466, prior_entropy: 2.1253, recall: 0.9466, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3596, scimark_benchmark: 1322.806, usercpu_time_millis: 10620, usercpu_time_millis_training: 10620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9087, kappa: 0.8727, kb_relative_information_score: 1752.0952, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9143, predictive_accuracy: 0.9088, prior_entropy: 2.1253, recall: 0.9088, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4618, scimark_benchmark: 1323.5075, usercpu_time_millis: 76550, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 76320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9137, kappa: 0.8791, kb_relative_information_score: 1745.8008, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9139, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4649, scimark_benchmark: 1318.3027, usercpu_time_millis: 1220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.5452, kappa: 0.4582, kb_relative_information_score: 821.7912, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5281, predictive_accuracy: 0.6275, prior_entropy: 2.1253, recall: 0.6275, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.7877, scimark_benchmark: 1345.842, usercpu_time_millis: 117150, usercpu_time_millis_testing: 117150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9015, kappa: 0.8608, kb_relative_information_score: 1738.0716, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 2.1253, recall: 0.902, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5247, scimark_benchmark: 1301.1661, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0529, kb_relative_information_score: -40.901, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.0311, predictive_accuracy: 0.1765, prior_entropy: 2.1253, recall: 0.1765, relative_absolute_error: 1.1647, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0818, scimark_benchmark: 1328.941, usercpu_time_millis: 327480, usercpu_time_millis_testing: 327480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9138, kappa: 0.8791, kb_relative_information_score: 1716.0634, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9157, predictive_accuracy: 0.9142, prior_entropy: 2.1253, recall: 0.9142, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4725, scimark_benchmark: 1339.9935, usercpu_time_millis: 11280, usercpu_time_millis_training: 11280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9422, kappa: 0.9171, kb_relative_information_score: 1846.209, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9453, predictive_accuracy: 0.9407, prior_entropy: 2.1253, recall: 0.9407, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.396, scimark_benchmark: 1329.8902, usercpu_time_millis: 373120, usercpu_time_millis_training: 373120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8547, kappa: 0.7926, kb_relative_information_score: 1600.8498, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8615, predictive_accuracy: 0.8515, prior_entropy: 2.1253, recall: 0.8515, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6342, scimark_benchmark: 934.4732, usercpu_time_millis: 879010, usercpu_time_millis_training: 879010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6189, kappa: 0.4671, kb_relative_information_score: 954.5012, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.6149, predictive_accuracy: 0.6245, prior_entropy: 2.1253, recall: 0.6245, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3538, root_relative_squared_error: 1.0269, scimark_benchmark: 1320.9026, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.6551, kappa: 0.5465, kb_relative_information_score: 1196.6704, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8021, predictive_accuracy: 0.6402, prior_entropy: 2.1253, recall: 0.6402, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.9622, scimark_benchmark: 943.1756, usercpu_time_millis: 1920, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6055, kappa: 0.4469, kb_relative_information_score: 937.2504, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.6104, predictive_accuracy: 0.602, prior_entropy: 2.1253, recall: 0.602, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3498, root_relative_squared_error: 1.0153, scimark_benchmark: 1352.6859, usercpu_time_millis: 3645090, usercpu_time_millis_testing: 7940, usercpu_time_millis_training: 3637150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.4783, kappa: 0.3575, kb_relative_information_score: 373.3568, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.3982, predictive_accuracy: 0.6, prior_entropy: 2.1253, recall: 0.6, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.9036, scimark_benchmark: 1449.4352, usercpu_time_millis: 1225790, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1225660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.947, kappa: 0.925, kb_relative_information_score: 1795.1947, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9489, predictive_accuracy: 0.9466, prior_entropy: 2.1253, recall: 0.9466, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3596, scimark_benchmark: 1006.9991, usercpu_time_millis: 9900, usercpu_time_millis_training: 9900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9285, kappa: 0.8991, kb_relative_information_score: 1806.2594, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9293, predictive_accuracy: 0.9284, prior_entropy: 2.1253, recall: 0.9284, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4428, scimark_benchmark: 1334.4761, usercpu_time_millis: 2500, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9345, kappa: 0.9083, kb_relative_information_score: 1812.5034, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9382, predictive_accuracy: 0.9358, prior_entropy: 2.1253, recall: 0.9358, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3647, scimark_benchmark: 1354.7191, usercpu_time_millis: 15040, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9388, kappa: 0.9149, kb_relative_information_score: 1538.2906, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9416, predictive_accuracy: 0.9402, prior_entropy: 2.1253, recall: 0.9402, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4466, scimark_benchmark: 1345.3152, usercpu_time_millis: 40490, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 38940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.3373, kappa: 0.0659, kb_relative_information_score: 537.7765, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.4624, predictive_accuracy: 0.4696, prior_entropy: 2.1253, recall: 0.4696, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0812, scimark_benchmark: 1318.1432, usercpu_time_millis: 850, usercpu_time_millis_testing: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.3971, kappa: 0.133, kb_relative_information_score: 612.8601, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5265, predictive_accuracy: 0.4951, prior_entropy: 2.1253, recall: 0.4951, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.089, scimark_benchmark: 854.5188, usercpu_time_millis: 770, usercpu_time_millis_testing: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.3362, kappa: 0.0641, kb_relative_information_score: 73.1929, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5721, predictive_accuracy: 0.474, prior_entropy: 2.1253, recall: 0.474, relative_absolute_error: 1.0346, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3476, root_relative_squared_error: 1.0089, scimark_benchmark: 869.6028, usercpu_time_millis: 1580, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7315, kappa: 0.6209, kb_relative_information_score: 388.7469, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.738, predictive_accuracy: 0.7392, prior_entropy: 2.1253, recall: 0.7392, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9504, scimark_benchmark: 939.449, usercpu_time_millis: 520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9075, kappa: 0.8713, kb_relative_information_score: 1750.4617, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9133, predictive_accuracy: 0.9078, prior_entropy: 2.1253, recall: 0.9078, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4632, scimark_benchmark: 882.7843, usercpu_time_millis: 53870, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 53580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9015, kappa: 0.8608, kb_relative_information_score: 1738.0716, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 2.1253, recall: 0.902, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5247, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.6854, kappa: 0.5916, kb_relative_information_score: 929.5458, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8032, predictive_accuracy: 0.7397, prior_entropy: 2.1253, recall: 0.7397, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.7429, scimark_benchmark: 1066.7184, usercpu_time_millis: 2840, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.5374, kappa: 0.3498, kb_relative_information_score: 741.722, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.5337, predictive_accuracy: 0.5417, prior_entropy: 2.1253, recall: 0.5417, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.1346, scimark_benchmark: 1313.5726, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8958, kappa: 0.8549, kb_relative_information_score: 1647.6974, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8992, predictive_accuracy: 0.8971, prior_entropy: 2.1253, recall: 0.8971, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.4937, scimark_benchmark: 1320.2556, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9116, kappa: 0.8756, kb_relative_information_score: 1702.2699, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9141, predictive_accuracy: 0.9118, prior_entropy: 2.1253, recall: 0.9118, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4734, scimark_benchmark: 1339.7143, usercpu_time_millis: 12220, usercpu_time_millis_training: 12220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.6989, kappa: 0.5684, kb_relative_information_score: 1167.5515, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.8045, predictive_accuracy: 0.7255, prior_entropy: 2.1253, recall: 0.7255, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.878, scimark_benchmark: 1321.9426, usercpu_time_millis: 7890, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.0628, kappa: 0.0057, kb_relative_information_score: -9.1721, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.2519, predictive_accuracy: 0.1814, prior_entropy: 2.1253, recall: 0.1814, relative_absolute_error: 1.1441, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.5163, scimark_benchmark: 1425.1294, usercpu_time_millis: 3330, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9136, kappa: 0.8787, kb_relative_information_score: 1738.3604, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9147, predictive_accuracy: 0.9137, prior_entropy: 2.1253, recall: 0.9137, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4895, scimark_benchmark: 1341.2341, usercpu_time_millis: 4810, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.5111, kappa: 0.4039, kb_relative_information_score: 763.3681, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.4834, predictive_accuracy: 0.5936, prior_entropy: 2.1253, recall: 0.5936, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.368, root_relative_squared_error: 1.0683, scimark_benchmark: 1351.788, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8969, kappa: 0.8569, kb_relative_information_score: 1676.5139, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9001, predictive_accuracy: 0.8985, prior_entropy: 2.1253, recall: 0.8985, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.5338, scimark_benchmark: 1353.5686, usercpu_time_millis: 6140, usercpu_time_millis_training: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4617, f_measure: 0.2752, kb_relative_information_score: 2.9003, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.199, predictive_accuracy: 0.4461, prior_entropy: 2.1253, recall: 0.4461, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.0005, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9298, kappa: 0.9013, kb_relative_information_score: 1813.8788, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9298, predictive_accuracy: 0.9299, prior_entropy: 2.1253, recall: 0.9299, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4341, scimark_benchmark: 1368.9272, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 99.0616, build_memory: 4795763932.3961, f_measure: 0.9423, kappa: 0.9185, kb_relative_information_score: 1749.6087, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.9434, predictive_accuracy: 0.9422, prior_entropy: 2.1253, recall: 0.9422, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3712, scimark_benchmark: 942.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9388, kappa: 0.9136, kb_relative_information_score: 1747.2762, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2385, number_of_instances: 2040, precision: 0.94, predictive_accuracy: 0.9387, prior_entropy: 2.1253, recall: 0.9387, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.3445, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3786,

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