OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 22163 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: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1287.6493, usercpu_time_millis: 1960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1272.5942, usercpu_time_millis: 1800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1380.3023, usercpu_time_millis: 1800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1492.1701, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3564, kappa: 0.3172, kb_relative_information_score: 714.764, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3446, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 1365.8533, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1585.9499, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.809, kappa: 0.7889, kb_relative_information_score: 1582.4025, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5442, scimark_benchmark: 1361.7659, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1412.2818, usercpu_time_millis: 1800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.7828, kappa: 0.76, kb_relative_information_score: 1593.2224, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6157, scimark_benchmark: 1573.2367, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8388, kappa: 0.8217, kb_relative_information_score: 577.2667, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.839, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 1525.6393, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7821, kappa: 0.76, kb_relative_information_score: 559.1804, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9176, scimark_benchmark: 1299.7996, usercpu_time_millis: 6190, usercpu_time_millis_testing: 4360, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7369, kappa: 0.7072, kb_relative_information_score: 1439.9227, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7402, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6696, scimark_benchmark: 1413.6265, usercpu_time_millis: 1830, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8193, kappa: 0.8, kb_relative_information_score: 1681.399, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8199, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5476, scimark_benchmark: 1511.5637, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8324, kappa: 0.8122, kb_relative_information_score: 1643.0216, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6112, scimark_benchmark: 1294.7045, usercpu_time_millis: 1800, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8347, kappa: 0.8167, kb_relative_information_score: 1671.6144, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5777, scimark_benchmark: 1462.3193, usercpu_time_millis: 4740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8415, kappa: 0.8222, kb_relative_information_score: 1682.6565, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8435, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5636, scimark_benchmark: 1465.7041, usercpu_time_millis: 208890, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 208790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7995, kappa: 0.78, kb_relative_information_score: 1307.3123, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8009, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6255, scimark_benchmark: 1617.0937, usercpu_time_millis: 5170, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 1346.9621, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7129, kappa: 0.6806, kb_relative_information_score: 1398.6894, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7993, scimark_benchmark: 1409.0688, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8092, kappa: 0.7872, kb_relative_information_score: 1611.6298, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8105, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5628, scimark_benchmark: 1555.8503, usercpu_time_millis: 1990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.0731, kappa: 0.1106, kb_relative_information_score: 476.4739, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1455, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9581, scimark_benchmark: 1451.5061, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8371, kappa: 0.8178, kb_relative_information_score: 1688.9624, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8389, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5368, scimark_benchmark: 1680.303, usercpu_time_millis: 6680, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8145, kappa: 0.7944, kb_relative_information_score: 1614.4855, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8149, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5363, scimark_benchmark: 1364.9381, usercpu_time_millis: 1730, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8164, kappa: 0.7967, kb_relative_information_score: 1555.1598, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5488, scimark_benchmark: 1487.1129, usercpu_time_millis: 16020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8514, kappa: 0.8333, kb_relative_information_score: 1703.5019, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8534, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4879, scimark_benchmark: 1399.0208, usercpu_time_millis: 176090, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 175990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.644, kappa: 0.6228, kb_relative_information_score: 699.5235, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6922, predictive_accuracy: 0.6605, prior_entropy: 3.3219, recall: 0.6605, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.8958, scimark_benchmark: 1420.2585, usercpu_time_millis: 988990, usercpu_time_millis_testing: 988820, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7836, kappa: 0.7606, kb_relative_information_score: 1607.4334, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7874, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6051, scimark_benchmark: 1318.4627, usercpu_time_millis: 2630, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, 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: 1406.7613, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8128, kappa: 0.7928, kb_relative_information_score: 1569.0141, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.547, scimark_benchmark: 1361.743, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7844, kappa: 0.7611, kb_relative_information_score: 1605.4702, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7882, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 1349.8826, usercpu_time_millis: 390, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7996, kappa: 0.7744, kb_relative_information_score: 1589.2493, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8061, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6504, scimark_benchmark: 1583.7959, usercpu_time_millis: 439880, usercpu_time_millis_testing: 439720, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6409, kappa: 0.6217, kb_relative_information_score: 685.4573, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6886, predictive_accuracy: 0.6595, prior_entropy: 3.3219, recall: 0.6595, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.9016, scimark_benchmark: 1538.0035, usercpu_time_millis: 136520, usercpu_time_millis_testing: 136340, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.7704, kappa: 0.7444, kb_relative_information_score: 1517.2333, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7717, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.6921, scimark_benchmark: 1505.8829, usercpu_time_millis: 756370, usercpu_time_millis_testing: 756200, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.735, kappa: 0.7039, kb_relative_information_score: 1442.6113, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7371, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7692, scimark_benchmark: 1513.9544, usercpu_time_millis: 129770, usercpu_time_millis_testing: 129620, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8162, kappa: 0.7967, kb_relative_information_score: 1598.417, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449, scimark_benchmark: 1285.0494, usercpu_time_millis: 2040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1609.2261, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.6529, kappa: 0.6128, kb_relative_information_score: 1271.107, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6555, predictive_accuracy: 0.6515, prior_entropy: 3.3219, recall: 0.6515, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.264, root_relative_squared_error: 0.88, scimark_benchmark: 1232.4169, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7505, kappa: 0.7244, kb_relative_information_score: 1492.6049, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 1300.7996, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 1337.6543, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8185, kappa: 0.7994, kb_relative_information_score: 1661.6864, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5161, scimark_benchmark: 1335.1383, usercpu_time_millis: 4570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.7147, kappa: 0.6806, kb_relative_information_score: 1339.6157, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7181, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.6991, scimark_benchmark: 1434.9257, usercpu_time_millis: 52390, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 51500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7083, kappa: 0.6756, kb_relative_information_score: 1389.2776, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7092, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.8055, scimark_benchmark: 1363.2354, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7649, kappa: 0.74, kb_relative_information_score: 1530.0499, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7646, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1375.3393, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8199, kappa: 0.8, kb_relative_information_score: 1661.3441, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5156, scimark_benchmark: 1388.0622, usercpu_time_millis: 3560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1436.2702, usercpu_time_millis: 2000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8111, kappa: 0.7889, kb_relative_information_score: 1625.9212, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8127, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6045, scimark_benchmark: 1491.5903, usercpu_time_millis: 13720, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 1300.3768, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8267, kappa: 0.8072, kb_relative_information_score: 1652.7644, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8275, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5947, scimark_benchmark: 1420.4617, usercpu_time_millis: 4580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7129, kappa: 0.6806, kb_relative_information_score: 1398.6894, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7993, scimark_benchmark: 1302.8837, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8112, kappa: 0.79, kb_relative_information_score: 1616.6648, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8127, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046, scimark_benchmark: 1380.422, usercpu_time_millis: 2040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 1407.0353, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1390.185, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 1622.5414, usercpu_time_millis: 2610, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.0731, kappa: 0.1106, kb_relative_information_score: 476.4739, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1455, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9581, scimark_benchmark: 1312.3032, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8022, kappa: 0.7794, kb_relative_information_score: 1638.9879, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5762, scimark_benchmark: 1241.3336, usercpu_time_millis: 13710, usercpu_time_millis_testing: 13710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.807, kappa: 0.7861, kb_relative_information_score: 1600.3734, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459, scimark_benchmark: 1939.7965, usercpu_time_millis: 2140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8043, kappa: 0.7828, kb_relative_information_score: 1534.9557, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8054, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593, scimark_benchmark: 1382.4381, usercpu_time_millis: 33420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 33400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.937, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 1247.7325, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1316.0355, usercpu_time_millis: 410, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.7764, kappa: 0.7522, kb_relative_information_score: 558.4324, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9179, scimark_benchmark: 1260.8992, usercpu_time_millis: 11570, usercpu_time_millis_testing: 8590, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.2733, kappa: 0.2928, kb_relative_information_score: 472.4446, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2819, predictive_accuracy: 0.3635, prior_entropy: 3.3219, recall: 0.3635, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.9474, scimark_benchmark: 1290.3444, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8265, kappa: 0.8072, kb_relative_information_score: 1620.4718, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8274, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5238, scimark_benchmark: 1272.2042, usercpu_time_millis: 3820, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.575, kappa: 0.555, kb_relative_information_score: 1015.5474, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6041, predictive_accuracy: 0.5995, prior_entropy: 3.3219, recall: 0.5995, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7947, scimark_benchmark: 1394.7811, usercpu_time_millis: 620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1331.6838, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7935, kappa: 0.7722, kb_relative_information_score: 1579.8755, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7965, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6491, scimark_benchmark: 1363.7109, usercpu_time_millis: 5840, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8324, kappa: 0.8122, kb_relative_information_score: 1643.0216, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6112, scimark_benchmark: 1242.987, usercpu_time_millis: 2130, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1150,

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