OpenML
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 1902 Supervised Classification mfeat-zernike 378 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.7138, kappa: 0.6851, kb_relative_information_score: 14778.0235, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7138, predictive_accuracy: 0.7166, prior_entropy: 3.3219, recall: 0.7166, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.699, scimark_benchmark: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7535, kappa: 0.7258, kb_relative_information_score: 15452.8486, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7544, predictive_accuracy: 0.7533, prior_entropy: 3.3219, recall: 0.7533, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6573, scimark_benchmark: 1343.2125, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7382, kappa: 0.7127, kb_relative_information_score: 14698.5224, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7371, predictive_accuracy: 0.7414, prior_entropy: 3.3219, recall: 0.7414, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5977, scimark_benchmark: 1334.6745, usercpu_time_millis: 12770, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 12610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6403, kappa: 0.6011, kb_relative_information_score: 13201.5049, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6399, predictive_accuracy: 0.641, prior_entropy: 3.3219, recall: 0.641, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7833, scimark_benchmark: 1151.6869, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.7533, kappa: 0.7217, kb_relative_information_score: 14961.1584, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7585, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7196, scimark_benchmark: 1318.6149, usercpu_time_millis: 631120, usercpu_time_millis_testing: 631120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6, kappa: 0.5503, kb_relative_information_score: 11535.6389, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6051, predictive_accuracy: 0.5953, prior_entropy: 3.3219, recall: 0.5953, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9483, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6403, kappa: 0.6011, kb_relative_information_score: 13201.5049, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6399, predictive_accuracy: 0.641, prior_entropy: 3.3219, recall: 0.641, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7833, scimark_benchmark: 1343.6648, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7573, kappa: 0.7403, kb_relative_information_score: 14299.3272, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7523, predictive_accuracy: 0.7663, prior_entropy: 3.3219, recall: 0.7663, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897, scimark_benchmark: 894.7222, usercpu_time_millis: 11670, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 11370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.752, kappa: 0.7332, kb_relative_information_score: 14229.4486, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7479, predictive_accuracy: 0.7599, prior_entropy: 3.3219, recall: 0.7599, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972, scimark_benchmark: 1309.4998, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.6928, kappa: 0.6643, kb_relative_information_score: 14041.4827, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6989, predictive_accuracy: 0.6979, prior_entropy: 3.3219, recall: 0.6979, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.7241, scimark_benchmark: 1347.388, usercpu_time_millis: 1960, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.7563, kappa: 0.7286, kb_relative_information_score: 15299.8859, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7574, predictive_accuracy: 0.7558, prior_entropy: 3.3219, recall: 0.7558, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6739, scimark_benchmark: 1354.8751, usercpu_time_millis: 8160, usercpu_time_millis_testing: 7160, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6403, kappa: 0.6011, kb_relative_information_score: 13201.5049, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6399, predictive_accuracy: 0.641, prior_entropy: 3.3219, recall: 0.641, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7833, scimark_benchmark: 1330.2021, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7536, kappa: 0.7359, kb_relative_information_score: 14267.3449, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7489, predictive_accuracy: 0.7624, prior_entropy: 3.3219, recall: 0.7624, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5928, scimark_benchmark: 1413.089, usercpu_time_millis: 2160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.3469, kappa: 0.3923, kb_relative_information_score: 5460.6905, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.571, predictive_accuracy: 0.4531, prior_entropy: 3.3219, recall: 0.4531, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9282, scimark_benchmark: 1330.8781, usercpu_time_millis: 180140, usercpu_time_millis_testing: 180140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7921, kappa: 0.7673, kb_relative_information_score: 15620.3676, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7943, predictive_accuracy: 0.7906, prior_entropy: 3.3219, recall: 0.7906, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6822, scimark_benchmark: 1316.7714, usercpu_time_millis: 3190, usercpu_time_millis_testing: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7256, kappa: 0.7263, kb_relative_information_score: 14848.5986, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7089, predictive_accuracy: 0.7537, prior_entropy: 3.3219, recall: 0.7537, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7398, scimark_benchmark: 1264.0609, usercpu_time_millis: 87930, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 87760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.1127, kappa: 0.1049, kb_relative_information_score: 4002.0721, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1147, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9674, scimark_benchmark: 1337.6765, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.6783, kappa: 0.6512, kb_relative_information_score: 13803.6317, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.677, predictive_accuracy: 0.6861, prior_entropy: 3.3219, recall: 0.6861, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6981, scimark_benchmark: 1340.4336, usercpu_time_millis: 2250, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7802, kappa: 0.7533, kb_relative_information_score: 15901.0479, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7826, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.621, scimark_benchmark: 943.1756, usercpu_time_millis: 34980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 34970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7779, kappa: 0.7511, kb_relative_information_score: 16087.6301, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.78, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.593, scimark_benchmark: 1311.9814, usercpu_time_millis: 13130, usercpu_time_millis_training: 13130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, f_measure: 0.0915, kappa: 0.0554, kb_relative_information_score: 2220.0311, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4774, predictive_accuracy: 0.1499, prior_entropy: 3.3219, recall: 0.1499, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.3744, scimark_benchmark: 1239.0733, usercpu_time_millis: 11180, usercpu_time_millis_testing: 6640, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7535, kappa: 0.7258, kb_relative_information_score: 15452.8486, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7544, predictive_accuracy: 0.7533, prior_entropy: 3.3219, recall: 0.7533, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6573, scimark_benchmark: 1034.2235, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.6646, kappa: 0.6298, kb_relative_information_score: 13728.0573, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6642, predictive_accuracy: 0.6669, prior_entropy: 3.3219, recall: 0.6669, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7672, scimark_benchmark: 1384.8417, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6403, kappa: 0.6011, kb_relative_information_score: 13201.5049, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6399, predictive_accuracy: 0.641, prior_entropy: 3.3219, recall: 0.641, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7833, scimark_benchmark: 1339.944, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.728, kappa: 0.6984, kb_relative_information_score: 15103.6619, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7282, predictive_accuracy: 0.7286, prior_entropy: 3.3219, recall: 0.7286, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1297.6356, usercpu_time_millis: 280, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.4748, kappa: 0.4566, kb_relative_information_score: 7439.9209, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4675, predictive_accuracy: 0.5109, prior_entropy: 3.3219, recall: 0.5109, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.8558, scimark_benchmark: 932.0242, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7907, kappa: 0.7662, kb_relative_information_score: 16721.6434, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7922, predictive_accuracy: 0.7896, prior_entropy: 3.3219, recall: 0.7896, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5692, scimark_benchmark: 1310.934, usercpu_time_millis: 683880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 683850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7921, kappa: 0.7673, kb_relative_information_score: 15587.2042, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7943, predictive_accuracy: 0.7906, prior_entropy: 3.3219, recall: 0.7906, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6803, scimark_benchmark: 1342.5243, usercpu_time_millis: 1030, usercpu_time_millis_testing: 1030,
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: 20000, 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: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.4111, kappa: 0.3913, kb_relative_information_score: 681.7786, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4745, predictive_accuracy: 0.4522, prior_entropy: 3.3219, recall: 0.4522, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9911, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.5272, kappa: 0.4818, kb_relative_information_score: 7540.342, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.531, predictive_accuracy: 0.5337, prior_entropy: 3.3219, recall: 0.5337, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8476, scimark_benchmark: 1356.3402, usercpu_time_millis: 1470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 1307.7326, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.7288, kappa: 0.6994, kb_relative_information_score: 15106.9873, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.729, predictive_accuracy: 0.7295, prior_entropy: 3.3219, recall: 0.7295, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799, scimark_benchmark: 1327.9952, usercpu_time_millis: 920, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8172, kappa: 0.8003, kb_relative_information_score: 17020.1943, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8144, predictive_accuracy: 0.8203, prior_entropy: 3.3219, recall: 0.8203, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476, scimark_benchmark: 1333.1945, usercpu_time_millis: 17240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.6436, kappa: 0.6128, kb_relative_information_score: 12463.7033, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.648, predictive_accuracy: 0.6515, prior_entropy: 3.3219, recall: 0.6515, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7125, scimark_benchmark: 1371.5241, usercpu_time_millis: 3500, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7279, kappa: 0.7191, kb_relative_information_score: 14855.7979, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7178, predictive_accuracy: 0.7472, prior_entropy: 3.3219, recall: 0.7472, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6628, scimark_benchmark: 1321.1875, usercpu_time_millis: 7930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7547, kappa: 0.7369, kb_relative_information_score: 14277.161, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7502, predictive_accuracy: 0.7633, prior_entropy: 3.3219, recall: 0.7633, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5915, scimark_benchmark: 1333.1945, usercpu_time_millis: 4440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7454, kappa: 0.7191, kb_relative_information_score: 15022.4919, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7439, predictive_accuracy: 0.7472, prior_entropy: 3.3219, recall: 0.7472, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5951, scimark_benchmark: 1308.3503, usercpu_time_millis: 1780, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7342, kappa: 0.7078, kb_relative_information_score: 14675.3669, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7337, predictive_accuracy: 0.7371, prior_entropy: 3.3219, recall: 0.7371, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601, scimark_benchmark: 1413.089, usercpu_time_millis: 2910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.732, kappa: 0.7052, kb_relative_information_score: 14648.4127, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7316, predictive_accuracy: 0.7347, prior_entropy: 3.3219, recall: 0.7347, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.6053, scimark_benchmark: 1326.6647, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7299, kappa: 0.7032, kb_relative_information_score: 14582.44, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.729, predictive_accuracy: 0.7329, prior_entropy: 3.3219, recall: 0.7329, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6145, scimark_benchmark: 1323.237, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.7281, kappa: 0.6985, kb_relative_information_score: 15103.624, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7283, predictive_accuracy: 0.7287, prior_entropy: 3.3219, recall: 0.7287, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1301.9956, usercpu_time_millis: 290, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.6154, kappa: 0.5892, kb_relative_information_score: 3695.9113, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6287, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.283, root_relative_squared_error: 0.9432, scimark_benchmark: 929.0363, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.7448, kappa: 0.7246, kb_relative_information_score: 14172.6621, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7407, predictive_accuracy: 0.7522, prior_entropy: 3.3219, recall: 0.7522, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.6054, scimark_benchmark: 889.3151, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7772, kappa: 0.7508, kb_relative_information_score: 16091.7127, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7786, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.572, scimark_benchmark: 938.9967, usercpu_time_millis: 8640, usercpu_time_millis_training: 8640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7661, kappa: 0.7403, kb_relative_information_score: 15781.0259, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7659, predictive_accuracy: 0.7663, prior_entropy: 3.3219, recall: 0.7663, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5708, scimark_benchmark: 1335.4072, usercpu_time_millis: 4180, usercpu_time_millis_training: 4180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7358, kappa: 0.7098, kb_relative_information_score: 14689.6813, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7351, predictive_accuracy: 0.7388, prior_entropy: 3.3219, recall: 0.7388, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5987, scimark_benchmark: 901.1296, usercpu_time_millis: 7940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7121, kappa: 0.6806, kb_relative_information_score: 14715.3614, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7122, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.7093, scimark_benchmark: 1310.3951, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 915.6729, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 1307.4861, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 943.1756, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.0809, kappa: 0.1052, kb_relative_information_score: 3745.3305, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0749, predictive_accuracy: 0.1947, prior_entropy: 3.3219, recall: 0.1947, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8041, kappa: 0.7846, kb_relative_information_score: 17030.5295, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8032, predictive_accuracy: 0.8062, prior_entropy: 3.3219, recall: 0.8062, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046, scimark_benchmark: 1325.2092, usercpu_time_millis: 1980, usercpu_time_millis_testing: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.7954, kappa: 0.7766, kb_relative_information_score: 16925.9733, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7934, predictive_accuracy: 0.7989, prior_entropy: 3.3219, recall: 0.7989, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5331, scimark_benchmark: 1324.8395, usercpu_time_millis: 1410, usercpu_time_millis_testing: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7539, kappa: 0.7288, kb_relative_information_score: 5540.192, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7573, predictive_accuracy: 0.7559, prior_entropy: 3.3219, recall: 0.7559, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9189, scimark_benchmark: 1325.2092, usercpu_time_millis: 12280, usercpu_time_millis_testing: 8840, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8245, kappa: 0.8089, kb_relative_information_score: 5742.3183, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8216, predictive_accuracy: 0.8281, prior_entropy: 3.3219, recall: 0.8281, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 942.6843, usercpu_time_millis: 510, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8171, kappa: 0.8003, kb_relative_information_score: 17009.9194, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8142, predictive_accuracy: 0.8203, prior_entropy: 3.3219, recall: 0.8203, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4763, scimark_benchmark: 938.202, usercpu_time_millis: 4810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7728, kappa: 0.7428, kb_relative_information_score: 15158.1428, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7777, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.7172, scimark_benchmark: 938.9967, usercpu_time_millis: 1920, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.7138, kappa: 0.6851, kb_relative_information_score: 14778.0235, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7138, predictive_accuracy: 0.7166, prior_entropy: 3.3219, recall: 0.7166, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.699, scimark_benchmark: 1368.9272, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.6602, kappa: 0.619, kb_relative_information_score: 12939.4559, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6641, predictive_accuracy: 0.6571, prior_entropy: 3.3219, recall: 0.6571, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.7557, scimark_benchmark: 1372.2145, usercpu_time_millis: 76040, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 74900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7734, kappa: 0.7512, kb_relative_information_score: 14212.0248, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7714, predictive_accuracy: 0.7761, prior_entropy: 3.3219, recall: 0.7761, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6244, scimark_benchmark: 1291.6995, usercpu_time_millis: 1670, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.6308, kappa: 0.5844, kb_relative_information_score: 12177.734, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.636, predictive_accuracy: 0.626, prior_entropy: 3.3219, recall: 0.626, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9117, scimark_benchmark: 1315.0767, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.6907, kappa: 0.6629, kb_relative_information_score: 13899.5877, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6904, predictive_accuracy: 0.6966, prior_entropy: 3.3219, recall: 0.6966, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6905, scimark_benchmark: 1325.942, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.6782, kappa: 0.6461, kb_relative_information_score: 13635.8729, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6783, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7092, scimark_benchmark: 1355.7054, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.6977, kappa: 0.6734, kb_relative_information_score: 13851.9917, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6923, predictive_accuracy: 0.7061, prior_entropy: 3.3219, recall: 0.7061, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8082, scimark_benchmark: 825.5282, usercpu_time_millis: 3040, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.0285, kappa: 0.0058, kb_relative_information_score: 1285.1239, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5101, predictive_accuracy: 0.1052, prior_entropy: 3.3219, recall: 0.1052, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.423, root_relative_squared_error: 1.4101, scimark_benchmark: 1368.9272, usercpu_time_millis: 2010, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7247, kappa: 0.6938, kb_relative_information_score: 15025.4007, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7262, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6948, scimark_benchmark: 1351.788, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.2589, kappa: 0.1876, kb_relative_information_score: 4707.8882, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2579, predictive_accuracy: 0.2689, prior_entropy: 3.3219, recall: 0.2689, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.2747, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.6875, kappa: 0.6519, kb_relative_information_score: 13447.2836, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6909, predictive_accuracy: 0.6867, prior_entropy: 3.3219, recall: 0.6867, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.8344, scimark_benchmark: 1354.3488, usercpu_time_millis: 31960, usercpu_time_millis_training: 31960,
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: 20000, 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: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7066, kappa: 0.6754, kb_relative_information_score: 14653.016, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7062, predictive_accuracy: 0.7079, prior_entropy: 3.3219, recall: 0.7079, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7154, scimark_benchmark: 1028.5889, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index -5 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.6772, kappa: 0.7119, kb_relative_information_score: 14810.796, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6789, predictive_accuracy: 0.7408, prior_entropy: 3.3219, recall: 0.7408, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.7959, kappa: 0.7732, kb_relative_information_score: 15653.3647, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7966, predictive_accuracy: 0.7959, prior_entropy: 3.3219, recall: 0.7959, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8269, kappa: 0.8084, kb_relative_information_score: 17330.9258, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8265, predictive_accuracy: 0.8276, prior_entropy: 3.3219, recall: 0.8276, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.824, kappa: 0.8078, kb_relative_information_score: 16152.6856, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8222, predictive_accuracy: 0.8271, prior_entropy: 3.3219, recall: 0.8271, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8081, kappa: 0.7906, kb_relative_information_score: 16043.9065, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8068, predictive_accuracy: 0.8116, prior_entropy: 3.3219, recall: 0.8116, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5054,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 512 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8201, kappa: 0.8023, kb_relative_information_score: 16753.3172, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8202, predictive_accuracy: 0.8221, prior_entropy: 3.3219, recall: 0.8221, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8112, kappa: 0.7988, kb_relative_information_score: 16882.2371, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8056, predictive_accuracy: 0.8189, prior_entropy: 3.3219, recall: 0.8189, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.799, kappa: 0.7782, kb_relative_information_score: 16093.4763, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7985, predictive_accuracy: 0.8004, prior_entropy: 3.3219, recall: 0.8004, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index -2 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.6807, kappa: 0.7147, kb_relative_information_score: 14874.5578, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6823, predictive_accuracy: 0.7433, prior_entropy: 3.3219, recall: 0.7433, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.7961, kappa: 0.7734, kb_relative_information_score: 15681.8586, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7966, predictive_accuracy: 0.7961, prior_entropy: 3.3219, recall: 0.7961, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8261, kappa: 0.8076, kb_relative_information_score: 17341.7086, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8258, predictive_accuracy: 0.8269, prior_entropy: 3.3219, recall: 0.8269, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8238, kappa: 0.8078, kb_relative_information_score: 16202.0764, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8218, predictive_accuracy: 0.8271, prior_entropy: 3.3219, recall: 0.8271, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8087, kappa: 0.7914, kb_relative_information_score: 16098.1504, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8073, predictive_accuracy: 0.8123, prior_entropy: 3.3219, recall: 0.8123, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 518 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.821, kappa: 0.8026, kb_relative_information_score: 16790.7421, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8205, predictive_accuracy: 0.8224, prior_entropy: 3.3219, recall: 0.8224, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8097, kappa: 0.7973, kb_relative_information_score: 16899.6955, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8039, predictive_accuracy: 0.8176, prior_entropy: 3.3219, recall: 0.8176, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.7999, kappa: 0.7791, kb_relative_information_score: 16133.9155, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7994, predictive_accuracy: 0.8012, prior_entropy: 3.3219, recall: 0.8012, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 526 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.6843, kappa: 0.7177, kb_relative_information_score: 14938.353, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.683, predictive_accuracy: 0.7459, prior_entropy: 3.3219, recall: 0.7459, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7967, kappa: 0.7741, kb_relative_information_score: 15710.7766, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7973, predictive_accuracy: 0.7967, prior_entropy: 3.3219, recall: 0.7967, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8269, kappa: 0.8082, kb_relative_information_score: 17338.8264, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8268, predictive_accuracy: 0.8274, prior_entropy: 3.3219, recall: 0.8274, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8251, kappa: 0.8091, kb_relative_information_score: 16259.008, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8232, predictive_accuracy: 0.8282, prior_entropy: 3.3219, recall: 0.8282, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8097, kappa: 0.7927, kb_relative_information_score: 16159.0337, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8081, predictive_accuracy: 0.8134, prior_entropy: 3.3219, recall: 0.8134, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 504 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.82, kappa: 0.8026, kb_relative_information_score: 16830.6643, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8198, predictive_accuracy: 0.8223, prior_entropy: 3.3219, recall: 0.8223, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4857,

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