Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 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: 0.9814, f_measure: 0.8217, kappa: 0.8022, kb_relative_information_score: 1601.8092, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8226, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5292, scimark_benchmark: 1635.4993, usercpu_time_millis: 7440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 7370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8231, kappa: 0.8039, kb_relative_information_score: 1614.7933, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229, scimark_benchmark: 1583.7646, usercpu_time_millis: 6350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7777, kappa: 0.7539, kb_relative_information_score: 1547.1559, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7777, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6484, scimark_benchmark: 1521.027, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.7724, kappa: 0.7478, kb_relative_information_score: 1543.5446, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7727, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6689, scimark_benchmark: 1582.4187, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7724, kappa: 0.7478, kb_relative_information_score: 1545.0622, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7728, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6685, scimark_benchmark: 1579.5568, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7537, kappa: 0.7283, kb_relative_information_score: 1496.0025, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7533, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6357, scimark_benchmark: 1379.7067, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7511, kappa: 0.7261, kb_relative_information_score: 1498.6919, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7505, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6408, scimark_benchmark: 1483.6522, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.7448, kappa: 0.7189, kb_relative_information_score: 1496.968, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.744, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6444, scimark_benchmark: 1427.4701, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.725, kappa: 0.6978, kb_relative_information_score: 1432.6691, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6595, scimark_benchmark: 1566.7286, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7195, kappa: 0.6917, kb_relative_information_score: 1435.5799, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7205, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6612, scimark_benchmark: 1642.9494, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8324, kappa: 0.8122, kb_relative_information_score: 1646.1955, mean_absolute_error: 0.0339, 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: 0.1882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6126, scimark_benchmark: 1536.481, usercpu_time_millis: 910, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8401, kappa: 0.8217, kb_relative_information_score: 1708.6206, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8429, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5026, scimark_benchmark: 1628.3003, usercpu_time_millis: 1390, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8158, kappa: 0.7961, kb_relative_information_score: 1588.6028, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8214, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.542, scimark_benchmark: 1774.6511, usercpu_time_millis: 1680, usercpu_time_millis_testing: 1670, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8081, kappa: 0.7867, kb_relative_information_score: 1662.0774, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5356, scimark_benchmark: 1642.5391, usercpu_time_millis: 3610, usercpu_time_millis_testing: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.807, kappa: 0.7867, kb_relative_information_score: 1579.1561, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5478, scimark_benchmark: 1659.0041, usercpu_time_millis: 1770, usercpu_time_millis_testing: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8166, kappa: 0.7983, kb_relative_information_score: 1565.4881, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361, scimark_benchmark: 1490.7504, usercpu_time_millis: 14180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 14110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, 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: 1450.2381, usercpu_time_millis: 1622930, usercpu_time_millis_testing: 1622930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.4996, kappa: 0.4994, kb_relative_information_score: 621.222, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6133, predictive_accuracy: 0.5495, prior_entropy: 3.3219, recall: 0.5495, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9198, scimark_benchmark: 1418.5292, usercpu_time_millis: 231390, usercpu_time_millis_testing: 231390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.774, kappa: 0.7489, kb_relative_information_score: 1530.2694, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6806, scimark_benchmark: 1356.8287, usercpu_time_millis: 1416860, usercpu_time_millis_testing: 1416860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.6786, kappa: 0.6411, kb_relative_information_score: 1324.3852, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6811, predictive_accuracy: 0.677, prior_entropy: 3.3219, recall: 0.677, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.846, scimark_benchmark: 1391.2761, usercpu_time_millis: 154400, usercpu_time_millis_testing: 154400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8171, kappa: 0.7983, kb_relative_information_score: 1595.2035, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5482, scimark_benchmark: 1466.6599, usercpu_time_millis: 2290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2270,
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: 1476.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7917, kappa: 0.7683, kb_relative_information_score: 1565.4037, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57, scimark_benchmark: 1457.2524, usercpu_time_millis: 2260, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8076, kappa: 0.7889, kb_relative_information_score: 1529.6543, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8071, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5664, scimark_benchmark: 1632.6099, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8032, kappa: 0.7839, kb_relative_information_score: 1489.0344, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5708, scimark_benchmark: 1478.6856, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
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: 1433.3026, usercpu_time_millis: 2320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2310,
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: 1471.5217, usercpu_time_millis: 3830, usercpu_time_millis_training: 3830,
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: 1439.9353, usercpu_time_millis: 4070, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7282, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7282, 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,
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: 1515.756, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7282, 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,
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,
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: 1409.5652, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7574, kappa: 0.7317, kb_relative_information_score: 1501.1391, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7584, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6346, scimark_benchmark: 1491.1156, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7188, kappa: 0.6872, kb_relative_information_score: 1411.2385, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7199, predictive_accuracy: 0.7185, prior_entropy: 3.3219, recall: 0.7185, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.7909, scimark_benchmark: 1450.916, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7282, 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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.1095, kappa: 0.1011, kb_relative_information_score: 244.8818, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0991, predictive_accuracy: 0.191, prior_entropy: 3.3219, recall: 0.191, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7996, kappa: 0.7744, kb_relative_information_score: 1589.1604, mean_absolute_error: 0.0407, 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: 0.6505, scimark_benchmark: 1432.1769, usercpu_time_millis: 406800, usercpu_time_millis_testing: 406590, usercpu_time_millis_training: 210,
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,
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,
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: 1487.1802, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
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,
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,
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: 1428.9756, usercpu_time_millis: 1190, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.1095, kappa: 0.1011, kb_relative_information_score: 244.8818, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0991, predictive_accuracy: 0.191, prior_entropy: 3.3219, recall: 0.191, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7282, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8452, kappa: 0.8267, kb_relative_information_score: 1690.5638, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5554, scimark_benchmark: 1507.954, usercpu_time_millis: 170340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7995, kappa: 0.78, kb_relative_information_score: 1305.6307, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8007, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.626, scimark_benchmark: 1481.1872, usercpu_time_millis: 4900, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 3330,
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: 1378.9075, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

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