OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24077 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7923, kappa: 0.7689, kb_relative_information_score: 1568.5482, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.569, scimark_benchmark: 938.9865, usercpu_time_millis: 3290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 35.8044, build_memory: 2870671415.2, f_measure: 0.8379, kappa: 0.8211, kb_relative_information_score: 1479.8671, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5602, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 152.3306, build_memory: 2388423027.2, f_measure: 0.8342, kappa: 0.8172, kb_relative_information_score: 1479.936, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8343, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5601, scimark_benchmark: 945.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.4548, build_memory: 1539544922.4, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.4519, build_memory: 473395936.8, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.7425, build_memory: 949958442.4, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 1.6427, build_memory: 373174348.8, f_measure: 0.3633, kappa: 0.3311, kb_relative_information_score: 798.5642, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3567, predictive_accuracy: 0.398, prior_entropy: 3.3219, recall: 0.398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9536, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 1.7288, build_memory: 843583186.4, f_measure: 0.3633, kappa: 0.3311, kb_relative_information_score: 798.5642, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3567, predictive_accuracy: 0.398, prior_entropy: 3.3219, recall: 0.398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9536, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.896, build_memory: 422501472, f_measure: 0.353, kappa: 0.3172, kb_relative_information_score: 788.0108, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3448, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9622, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 15.4837, build_memory: 849027320.8, f_measure: 0.8276, kappa: 0.81, kb_relative_information_score: 1478.1344, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8278, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5614, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 63.337, build_memory: 1136075700.8, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1479.2263, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5605, scimark_benchmark: 937.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 3.5396, build_memory: 1286051364.8, f_measure: 0.8348, kappa: 0.8178, kb_relative_information_score: 1509.648, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5471, scimark_benchmark: 944.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 10757.2946, build_memory: 1300605004, f_measure: 0.8384, kappa: 0.8183, kb_relative_information_score: 1660.5313, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8411, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5994, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 1500.3782, build_memory: 37074636.8, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 1484.1615, build_memory: 71800461.6, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 1508.8524, build_memory: 918287100, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 1611.8566, build_memory: 27468470.4, f_measure: 0.5597, kappa: 0.5406, kb_relative_information_score: 611.0189, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6313, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 6.2852, build_memory: 942524052, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, build_cpu_time: 58.0702, build_memory: 591534563.2, f_measure: 0.7659, kappa: 0.7439, kb_relative_information_score: 1179.0781, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6739, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 4604.2454, build_memory: 584036943.2, f_measure: 0.8353, kappa: 0.815, kb_relative_information_score: 1654.9562, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.838, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6014, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 99.0907, build_memory: 226027444.8, f_measure: 0.8188, kappa: 0.7956, kb_relative_information_score: 1627.9664, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6141, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, build_cpu_time: 195.8849, build_memory: 150824392, f_measure: 0.8181, kappa: 0.7939, kb_relative_information_score: 1623.2797, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8234, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6243, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 65.8877, build_memory: 466075598.4, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 400.8447, build_memory: 511680509.6, f_measure: 0.8237, kappa: 0.8006, kb_relative_information_score: 1630.8686, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8291, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6223, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 61.8437, build_memory: 64899098.4, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 64.3622, build_memory: 677681160, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 602.6513, build_memory: 1283293386.4, f_measure: 0.8359, kappa: 0.8156, kb_relative_information_score: 1657.0037, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8383, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 1158.7704, build_memory: 983664894.4, f_measure: 0.8344, kappa: 0.8133, kb_relative_information_score: 1658.7006, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5915, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 2546.0966, build_memory: 516694449.6, f_measure: 0.835, kappa: 0.8144, kb_relative_information_score: 1655.3659, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5999, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, build_cpu_time: 1299.4852, build_memory: 46365405.6, f_measure: 0.5587, kappa: 0.5394, kb_relative_information_score: 591.3142, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6341, predictive_accuracy: 0.5855, prior_entropy: 3.3219, recall: 0.5855, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9144, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 66.0657, build_memory: 856941302.4, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 5.7747, build_memory: 190102641.6, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 5.9895, build_memory: 517718970.4, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 6.4078, build_memory: 166974164, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1532.8609, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 3.3454, build_memory: 660853923.2, f_measure: 0.3708, kappa: 0.3394, kb_relative_information_score: 796.6458, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3658, predictive_accuracy: 0.4055, prior_entropy: 3.3219, recall: 0.4055, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9509, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 3.4671, build_memory: 924449120.8, f_measure: 0.3708, kappa: 0.3394, kb_relative_information_score: 796.6458, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3658, predictive_accuracy: 0.4055, prior_entropy: 3.3219, recall: 0.4055, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9509, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 4.3032, build_memory: 778587201.6, f_measure: 0.3708, kappa: 0.3394, kb_relative_information_score: 796.6458, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3658, predictive_accuracy: 0.4055, prior_entropy: 3.3219, recall: 0.4055, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9509, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, build_cpu_time: 0.0356, build_memory: 881518836.8, f_measure: 0.5145, kappa: 0.5122, kb_relative_information_score: 635.8702, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6299, predictive_accuracy: 0.561, prior_entropy: 3.3219, recall: 0.561, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 1062.8639, build_memory: 126988674.4, f_measure: 0.8431, kappa: 0.8244, kb_relative_information_score: 1693.2685, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4958, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 531.0406, build_memory: 419508330.4, f_measure: 0.8405, kappa: 0.8217, kb_relative_information_score: 1688.2201, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8419, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5033, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 0.0054, build_memory: 1622849634.4, f_measure: 0.5103, kappa: 0.5022, kb_relative_information_score: 640.3239, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6331, predictive_accuracy: 0.552, prior_entropy: 3.3219, recall: 0.552, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9123, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 0.0067, build_memory: 336119202.4, f_measure: 0.5137, kappa: 0.5139, kb_relative_information_score: 636.5574, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6388, predictive_accuracy: 0.5625, prior_entropy: 3.3219, recall: 0.5625, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9133, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.0518, build_memory: 974133649.6, f_measure: 0.5234, kappa: 0.5161, kb_relative_information_score: 636.6632, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6248, predictive_accuracy: 0.5645, prior_entropy: 3.3219, recall: 0.5645, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9135, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 12489.9675, build_memory: 817821744.8, f_measure: 0.8339, kappa: 0.8156, kb_relative_information_score: 1696.3623, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.495, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, build_cpu_time: 6195.4021, build_memory: 918513544.8, f_measure: 0.8326, kappa: 0.8144, kb_relative_information_score: 1697.2954, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 4.365, build_memory: 1125002890.4, f_measure: 0.7648, kappa: 0.7378, kb_relative_information_score: 1567.7644, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.771, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6379, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, build_cpu_time: 0.0291, build_memory: 694215847.2, f_measure: 0.5201, kappa: 0.5156, kb_relative_information_score: 635.3289, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6336, predictive_accuracy: 0.564, prior_entropy: 3.3219, recall: 0.564, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 898.2249,

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