OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19118 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: 0.8892, f_measure: 0.7977, kappa: 0.7783, kb_relative_information_score: 1582.7428, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6658, usercpu_time_millis: 1.53, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8277, kappa: 0.8089, kb_relative_information_score: 1640.2594, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8292, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182, usercpu_time_millis: 29.534, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 29.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8082, kappa: 0.7883, kb_relative_information_score: 1601.5664, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.809, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506, usercpu_time_millis: 121.987, usercpu_time_millis_testing: 10.375, usercpu_time_millis_training: 111.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7602, kappa: 0.7328, kb_relative_information_score: 1496.9906, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7311, usercpu_time_millis: 7.5, usercpu_time_millis_testing: 5.908, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7804, kappa: 0.7556, kb_relative_information_score: 1539.8667, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7811, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6992, usercpu_time_millis: 15.939, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 15.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7245, kappa: 0.6989, kb_relative_information_score: 1433.1994, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7255, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, usercpu_time_millis: 8.497, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 8.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.1121, kappa: 0.0261, kb_relative_information_score: 166.7871, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.18, predictive_accuracy: 0.1235, prior_entropy: 3.3219, recall: 0.1235, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4187, root_relative_squared_error: 1.3956, usercpu_time_millis: 1.497, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.459,
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, usercpu_time_millis: 3.173, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 2.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7542, kappa: 0.7278, kb_relative_information_score: 1487.5788, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7379, usercpu_time_millis: 14.511, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 13.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8241, kappa: 0.8061, kb_relative_information_score: 1635.0306, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6227, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8324, kappa: 0.8144, kb_relative_information_score: 1650.717, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.833, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6092, usercpu_time_millis: 55.994, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 55.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8272, kappa: 0.8089, kb_relative_information_score: 1640.2594, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182, usercpu_time_millis: 88.199, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 87.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8334, kappa: 0.8161, kb_relative_information_score: 1653.8543, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8335, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6064, usercpu_time_millis: 293.904, usercpu_time_millis_testing: 16.581, usercpu_time_millis_training: 277.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.6788, kappa: 0.6494, kb_relative_information_score: 1340.127, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8373, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0884, kappa: 0.0144, kb_relative_information_score: 144.8262, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0783, predictive_accuracy: 0.113, prior_entropy: 3.3219, recall: 0.113, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.404, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8102, kappa: 0.7883, kb_relative_information_score: 1601.5664, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8128, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506, usercpu_time_millis: 3.233, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 3.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8348, kappa: 0.8183, kb_relative_information_score: 1658.0373, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6028, usercpu_time_millis: 396.974, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 395.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 1656.9915, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037, usercpu_time_millis: 18.836, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 17.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7541, kappa: 0.7267, kb_relative_information_score: 1485.4873, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7394, usercpu_time_millis: 12.373, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 12.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8179, kappa: 0.7983, kb_relative_information_score: 1620.39, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8177, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6351, usercpu_time_millis: 15.106, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 14.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.3364, kappa: 0.3217, kb_relative_information_score: 723.1301, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.426, predictive_accuracy: 0.3895, prior_entropy: 3.3219, recall: 0.3895, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.1648, usercpu_time_millis: 1503.916, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1503.872,
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: 1335.5348, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
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: 990.4794, usercpu_time_millis: 2290, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 10,
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: 1024.9228, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9823, f_measure: 0.828, kappa: 0.81, kb_relative_information_score: 1509.7584, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5499, scimark_benchmark: 1134.6933, usercpu_time_millis: 2640, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7599, kappa: 0.7322, kb_relative_information_score: 1546.7002, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6638, scimark_benchmark: 1107.8774, usercpu_time_millis: 1790, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.7247, kappa: 0.6944, kb_relative_information_score: 1416.1566, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7348, predictive_accuracy: 0.725, prior_entropy: 3.3219, recall: 0.725, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.684, scimark_benchmark: 1184.1897, usercpu_time_millis: 4480, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1226.5547, usercpu_time_millis: 520, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7402, kappa: 0.7133, kb_relative_information_score: 1478.6921, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.739, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7324, scimark_benchmark: 1364.7138, usercpu_time_millis: 1069820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1069770,
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: 560.4597, usercpu_time_millis: 1120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1090,
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: 1112.878, usercpu_time_millis: 3020, usercpu_time_millis_testing: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8096, kappa: 0.7889, kb_relative_information_score: 1631.9563, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8152, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5306, scimark_benchmark: 1402.6487, usercpu_time_millis: 3240, usercpu_time_millis_testing: 3240,
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: 1330.9056, usercpu_time_millis: 1080, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 200,
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: 1332.2264, usercpu_time_millis: 400, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.846, kappa: 0.8294, kb_relative_information_score: 1586.9556, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 621.2341, usercpu_time_millis: 3060, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.785, kappa: 0.7617, kb_relative_information_score: 1605.3895, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.789, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 1040.9029, usercpu_time_millis: 1160, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 900,
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: 1222.6083, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8346, kappa: 0.8156, kb_relative_information_score: 1705.5546, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8372, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, scimark_benchmark: 757.9332, usercpu_time_millis: 2700, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8355, kappa: 0.8167, kb_relative_information_score: 1689.2423, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8382, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4989, scimark_benchmark: 1256.0253, usercpu_time_millis: 1790, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7756, kappa: 0.7544, kb_relative_information_score: 1644.9045, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7917, predictive_accuracy: 0.779, prior_entropy: 3.3219, recall: 0.779, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5875, scimark_benchmark: 1153.1387, usercpu_time_millis: 2950, usercpu_time_millis_testing: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8005, kappa: 0.7822, kb_relative_information_score: 1690.5635, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5492, scimark_benchmark: 1134.2252, usercpu_time_millis: 1540, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.2899, kappa: 0.3039, kb_relative_information_score: 587.8834, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2672, predictive_accuracy: 0.3735, prior_entropy: 3.3219, recall: 0.3735, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9023, scimark_benchmark: 1039.9331, usercpu_time_millis: 5400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5380,
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: 1136.4301, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.3175, kappa: 0.3272, kb_relative_information_score: 595.6774, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2873, predictive_accuracy: 0.3945, prior_entropy: 3.3219, recall: 0.3945, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8982, scimark_benchmark: 1278.2411, usercpu_time_millis: 3530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3520,
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: 1396.8732, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1508.1839, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7679, kappa: 0.7439, kb_relative_information_score: 1539.8984, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6911, scimark_benchmark: 1726.7321, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
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: 1677.8176, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.831, kappa: 0.8128, kb_relative_information_score: 1682.9526, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.524, scimark_benchmark: 1477.5784, usercpu_time_millis: 18740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18720,
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: 1559.9638, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1510.8238, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8383, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5475, scimark_benchmark: 1575.6593, usercpu_time_millis: 340, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.5249, kappa: 0.56, kb_relative_information_score: 1212.0248, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5016, predictive_accuracy: 0.604, prior_entropy: 3.3219, recall: 0.604, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7512, scimark_benchmark: 1417.3981, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1488.4609, usercpu_time_millis: 440, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7542, kappa: 0.7278, kb_relative_information_score: 1507.8419, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7012, scimark_benchmark: 1380.1228, usercpu_time_millis: 1330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8392, kappa: 0.8222, kb_relative_information_score: 1510.6494, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5476, scimark_benchmark: 1427.4496, usercpu_time_millis: 330, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 110,
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: 1380.5133, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
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: 1502.5461, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
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: 1656.1762,
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: 1448.1452, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1651.2322, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7474, kappa: 0.7222, kb_relative_information_score: 1474.8697, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7469, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6512, scimark_benchmark: 1443.7969, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1584.8343, mean_absolute_error: 0.0397, 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: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6642, scimark_benchmark: 1448.4786, usercpu_time_millis: 3880, usercpu_time_millis_testing: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.524, kappa: 0.4672, kb_relative_information_score: 49.3485, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6266, predictive_accuracy: 0.5205, prior_entropy: 3.3219, recall: 0.5205, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9937, scimark_benchmark: 1723.0273, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7396, kappa: 0.7106, kb_relative_information_score: 1455.1603, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608, scimark_benchmark: 1479.2487, usercpu_time_millis: 33760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0301, kappa: 0.0067, kb_relative_information_score: 130.1856, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5101, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4095, scimark_benchmark: 1483.4503, usercpu_time_millis: 2570, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.7855, kappa: 0.7661, kb_relative_information_score: 1559.5506, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7855, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263, scimark_benchmark: 1502.7023, usercpu_time_millis: 12300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12280,
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: 1506.4272, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.0893, kappa: 0.1072, kb_relative_information_score: 494.714, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0711, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.957, scimark_benchmark: 1534.7435, usercpu_time_millis: 1010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.7349, kappa: 0.7133, kb_relative_information_score: 1438.1291, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288, scimark_benchmark: 1539.5183, usercpu_time_millis: 5450, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
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: 1439.8268, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8151, kappa: 0.795, kb_relative_information_score: 1632.0191, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6089, scimark_benchmark: 1605.0105, usercpu_time_millis: 9310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.7954, kappa: 0.7728, kb_relative_information_score: 1589.2802, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7958, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5815, scimark_benchmark: 1595.3162, usercpu_time_millis: 3510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3500,
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: 1419.6633, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
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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: 1489.6355, usercpu_time_millis: 28790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.6761, kappa: 0.6311, kb_relative_information_score: 59.3655, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.702, predictive_accuracy: 0.668, prior_entropy: 3.3219, recall: 0.668, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9924, scimark_benchmark: 1438.882, usercpu_time_millis: 100, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10,
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: 1327.4363, usercpu_time_millis: 1860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1850,
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: 1418.5787, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
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: 1303.1487, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
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: 1369.2709, usercpu_time_millis: 1740, usercpu_time_millis_training: 1740,
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: 1337.1799, usercpu_time_millis: 2060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2050,
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: 1227.7481, usercpu_time_millis: 2220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2210,
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: 1300.7213, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
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: 1334.058, usercpu_time_millis: 2020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2010,
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: 1373.5141, usercpu_time_millis: 1810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1800,
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: 1395.134, usercpu_time_millis: 1880, usercpu_time_millis_training: 1880,
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: 1435.3759, usercpu_time_millis: 2010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2000,
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: 1412.0302, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
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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: 1450.9426, usercpu_time_millis: 1780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1770,
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: 1307.9257, 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: 1193.7499, usercpu_time_millis: 2150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2140,
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: 1404.6226, usercpu_time_millis: 1700, usercpu_time_millis_training: 1700,

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