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Supervised Classification on tr45.wc

Supervised Classification on tr45.wc

Task 3518 Supervised Classification tr45.wc 283 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 244.3521, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1522, scimark_benchmark: 1305.7138, usercpu_time_millis: 2790, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.4002, kappa: 0.3115, kb_relative_information_score: 246.0238, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4765, predictive_accuracy: 0.4203, prior_entropy: 3.0415, recall: 0.4203, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.1613, scimark_benchmark: 1346.3935, usercpu_time_millis: 452280, usercpu_time_millis_testing: 451830, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8983, kappa: 0.8833, kb_relative_information_score: 603.3881, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9011, predictive_accuracy: 0.9, prior_entropy: 3.0415, recall: 0.9, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4823, scimark_benchmark: 1313.6093, usercpu_time_millis: 21480, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 20970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.972, kappa: 0.9679, kb_relative_information_score: 663.6644, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9728, predictive_accuracy: 0.9725, prior_entropy: 3.0415, recall: 0.9725, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.069, root_relative_squared_error: 0.2354, scimark_benchmark: 1297.2338, usercpu_time_millis: 3668520, usercpu_time_millis_training: 3668520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7705, kappa: 0.7387, kb_relative_information_score: 354.4336, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7896, predictive_accuracy: 0.7783, prior_entropy: 3.0415, recall: 0.7783, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7176, scimark_benchmark: 1346.3935, usercpu_time_millis: 367800, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 367440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.823, kappa: 0.7919, kb_relative_information_score: 531.5805, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8299, predictive_accuracy: 0.8217, prior_entropy: 3.0415, recall: 0.8217, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6179, scimark_benchmark: 1321.5205, usercpu_time_millis: 140510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6086, kappa: 0.5471, kb_relative_information_score: 389.5284, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.6076, predictive_accuracy: 0.613, prior_entropy: 3.0415, recall: 0.613, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.9488, scimark_benchmark: 1305.7138, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899, scimark_benchmark: 1305.7138, usercpu_time_millis: 110930, usercpu_time_millis_training: 110930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.968, kappa: 0.9629, kb_relative_information_score: 663.353, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9682, predictive_accuracy: 0.9681, prior_entropy: 3.0415, recall: 0.9681, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.2323, scimark_benchmark: 1311.1837, usercpu_time_millis: 2108680, usercpu_time_millis_training: 2108680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9156, kappa: 0.9038, kb_relative_information_score: 587.1772, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9231, predictive_accuracy: 0.9174, prior_entropy: 3.0415, recall: 0.9174, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4133, scimark_benchmark: 1318.5627, usercpu_time_millis: 1908960, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1908900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7143, kappa: 0.6724, kb_relative_information_score: 452.0563, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7989, predictive_accuracy: 0.7304, prior_entropy: 3.0415, recall: 0.7304, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7919, scimark_benchmark: 1320.9366, usercpu_time_millis: 18030, usercpu_time_millis_testing: 7700, usercpu_time_millis_training: 10330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.2699, kappa: 0.2211, kb_relative_information_score: 106.2686, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2154, predictive_accuracy: 0.3739, prior_entropy: 3.0415, recall: 0.3739, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9441, scimark_benchmark: 1352.1951, usercpu_time_millis: 8115000, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 8114420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9245, kappa: 0.9123, kb_relative_information_score: 619.9436, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9266, predictive_accuracy: 0.9246, prior_entropy: 3.0415, recall: 0.9246, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4132, scimark_benchmark: 922.1419, usercpu_time_millis: 12910, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 12390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.661, kappa: 0.6087, kb_relative_information_score: 441.8291, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7495, predictive_accuracy: 0.658, prior_entropy: 3.0415, recall: 0.658, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8899, scimark_benchmark: 1413.089, usercpu_time_millis: 26910, usercpu_time_millis_testing: 23900, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.6345, kappa: 0.5403, kb_relative_information_score: 252.3023, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7173, predictive_accuracy: 0.5942, prior_entropy: 3.0415, recall: 0.5942, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.8827, scimark_benchmark: 1367.8403, usercpu_time_millis: 8130, usercpu_time_millis_testing: 4750, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.1383, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8938, scimark_benchmark: 1329.0992, usercpu_time_millis: 4420, usercpu_time_millis_training: 4420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9122, kappa: 0.9003, kb_relative_information_score: 611.1211, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9123, predictive_accuracy: 0.9145, prior_entropy: 3.0415, recall: 0.9145, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.4184, scimark_benchmark: 918.6005, usercpu_time_millis: 983330, usercpu_time_millis_testing: 132510, usercpu_time_millis_training: 850820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.4691, kappa: 0.3921, kb_relative_information_score: 294.9722, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7178, predictive_accuracy: 0.458, prior_entropy: 3.0415, recall: 0.458, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.123, scimark_benchmark: 1327.9952, usercpu_time_millis: 46150, usercpu_time_millis_testing: 20300, usercpu_time_millis_training: 25850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8588, kappa: 0.8319, kb_relative_information_score: 548.5038, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8551, prior_entropy: 3.0415, recall: 0.8551, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4899, scimark_benchmark: 1323.237, usercpu_time_millis: 120890, usercpu_time_millis_training: 120890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9089, kappa: 0.8953, kb_relative_information_score: 586.1984, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9128, predictive_accuracy: 0.9101, prior_entropy: 3.0415, recall: 0.9101, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.122, root_relative_squared_error: 0.4161, scimark_benchmark: 1339.0827, usercpu_time_millis: 1025900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1025870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9593, kappa: 0.9527, kb_relative_information_score: 656.0501, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9599, predictive_accuracy: 0.9594, prior_entropy: 3.0415, recall: 0.9594, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2497, scimark_benchmark: 1313.5726, usercpu_time_millis: 492600, usercpu_time_millis_training: 492600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9089, kappa: 0.8953, kb_relative_information_score: 588.8146, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9134, predictive_accuracy: 0.9101, prior_entropy: 3.0415, recall: 0.9101, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4154, scimark_benchmark: 1372.5518, usercpu_time_millis: 211440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 211430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.6592, kappa: 0.607, kb_relative_information_score: 441.1336, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7543, predictive_accuracy: 0.6565, prior_entropy: 3.0415, recall: 0.6565, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.8925, scimark_benchmark: 918.6005, usercpu_time_millis: 28650, usercpu_time_millis_testing: 22060, usercpu_time_millis_training: 6590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.0873, kb_relative_information_score: 0.6963, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2932, root_relative_squared_error: 1.0001, scimark_benchmark: 1339.4189, usercpu_time_millis: 3690, usercpu_time_millis_testing: 3680, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.5409, kappa: 0.4437, kb_relative_information_score: 26.0307, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.7656, predictive_accuracy: 0.5522, prior_entropy: 3.0415, recall: 0.5522, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.0221, scimark_benchmark: 932.0242, usercpu_time_millis: 4400, usercpu_time_millis_testing: 4000, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8843, kappa: 0.8665, kb_relative_information_score: 584.9499, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8871, predictive_accuracy: 0.8855, prior_entropy: 3.0415, recall: 0.8855, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.484, scimark_benchmark: 880.8372, usercpu_time_millis: 106560, usercpu_time_millis_training: 106560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 876.0664, usercpu_time_millis: 3420, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9272, kappa: 0.9221, kb_relative_information_score: 540.1417, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 3.0415, recall: 0.9333, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.4617, scimark_benchmark: 932.0242, usercpu_time_millis: 174250, usercpu_time_millis_testing: 4030, usercpu_time_millis_training: 170220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9709, kappa: 0.9663, kb_relative_information_score: 663.9638, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9714, predictive_accuracy: 0.971, prior_entropy: 3.0415, recall: 0.971, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.2241, scimark_benchmark: 1313.5726, usercpu_time_millis: 987070, usercpu_time_millis_training: 987070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9117, kappa: 0.8987, kb_relative_information_score: 586.2502, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9156, predictive_accuracy: 0.913, prior_entropy: 3.0415, recall: 0.913, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4182, scimark_benchmark: 1321.3021, usercpu_time_millis: 534190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 534170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9035, kappa: 0.8886, kb_relative_information_score: 587.7811, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9101, predictive_accuracy: 0.9043, prior_entropy: 3.0415, recall: 0.9043, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4222, scimark_benchmark: 1369.9744, usercpu_time_millis: 130270, usercpu_time_millis_training: 130270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9082, kappa: 0.8938, kb_relative_information_score: 605.5304, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.909, predictive_accuracy: 0.9087, prior_entropy: 3.0415, recall: 0.9087, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.4418, scimark_benchmark: 1310.3951, usercpu_time_millis: 94810, usercpu_time_millis_training: 94810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 1304.9611, usercpu_time_millis: 3210, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 915.9324, usercpu_time_millis: 3700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.2899, kappa: 0.2588, kb_relative_information_score: 158.6673, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.2611, predictive_accuracy: 0.4043, prior_entropy: 3.0415, recall: 0.4043, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8937, scimark_benchmark: 889.3151, usercpu_time_millis: 3470, usercpu_time_millis_training: 3470,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9621, kappa: 0.9561, kb_relative_information_score: 654.8347, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9628, predictive_accuracy: 0.9623, prior_entropy: 3.0415, recall: 0.9623, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.074, root_relative_squared_error: 0.2523, scimark_benchmark: 943.6956, usercpu_time_millis: 487660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 487650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0873, kb_relative_information_score: 81.1714, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0538, predictive_accuracy: 0.2319, prior_entropy: 3.0415, recall: 0.2319, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3368, scimark_benchmark: 933.8635, usercpu_time_millis: 590, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9371, kappa: 0.9274, kb_relative_information_score: 598.2944, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 3.0415, recall: 0.9377, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3787, scimark_benchmark: 901.0726, usercpu_time_millis: 436550, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 436440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8934, kappa: 0.8815, kb_relative_information_score: 547.8562, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.8944, predictive_accuracy: 0.8986, prior_entropy: 3.0415, recall: 0.8986, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4777, scimark_benchmark: 933.8635, usercpu_time_millis: 5167730, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 5167390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.339, kappa: 0.3175, kb_relative_information_score: 167.4402, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.3037, predictive_accuracy: 0.4449, prior_entropy: 3.0415, recall: 0.4449, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.8651, scimark_benchmark: 947.9494, usercpu_time_millis: 2890, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9636, kappa: 0.9578, kb_relative_information_score: 658.4267, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 3.0415, recall: 0.9638, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2872, scimark_benchmark: 923.3111, usercpu_time_millis: 1812470, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1812180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9637, kappa: 0.9578, kb_relative_information_score: 658.9017, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9642, predictive_accuracy: 0.9638, prior_entropy: 3.0415, recall: 0.9638, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2853, scimark_benchmark: 942.0096, usercpu_time_millis: 3638700, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 3638110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9623, kappa: 0.9561, kb_relative_information_score: 657.3782, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 3.0415, recall: 0.9623, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.296, scimark_benchmark: 945.3151, usercpu_time_millis: 7657220, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 7655990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.3768, kappa: 0.3311, kb_relative_information_score: 85.9865, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.4585, predictive_accuracy: 0.4638, prior_entropy: 3.0415, recall: 0.4638, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9719, scimark_benchmark: 928.4036, usercpu_time_millis: 19940, usercpu_time_millis_testing: 17520, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 413.4135, build_memory: 3208680094.4, f_measure: 0.9259, kappa: 0.9173, kb_relative_information_score: 615.9122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9336, predictive_accuracy: 0.929, prior_entropy: 3.0415, recall: 0.929, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3746, scimark_benchmark: 947.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 374.6583, build_memory: 831648765.6, f_measure: 0.9259, kappa: 0.9173, kb_relative_information_score: 615.9122, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.9336, predictive_accuracy: 0.929, prior_entropy: 3.0415, recall: 0.929, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3746, scimark_benchmark: 944.7992,

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