OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7656, kappa: 0.5243, kb_relative_information_score: 1695.0688, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363, scimark_benchmark: 1360.2771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7656, kappa: 0.5243, kb_relative_information_score: 1695.0688, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363, scimark_benchmark: 1337.2572, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1313.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1176.0388, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1343.4596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.852, kappa: 0.7024, kb_relative_information_score: 2047.5678, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8555, predictive_accuracy: 0.8516, prior_entropy: 0.9913, recall: 0.8516, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6718, scimark_benchmark: 1307.8606, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8526, kappa: 0.7034, kb_relative_information_score: 2056.1133, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8558, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6685, scimark_benchmark: 1034.2235, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8462, kappa: 0.6891, kb_relative_information_score: 2057.6523, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8461, prior_entropy: 0.9913, recall: 0.8461, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6632, scimark_benchmark: 1332.6143, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8375, kappa: 0.6715, kb_relative_information_score: 2154.6777, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8379, predictive_accuracy: 0.8374, prior_entropy: 0.9913, recall: 0.8374, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.706, scimark_benchmark: 1345.4669, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8337, kappa: 0.6636, kb_relative_information_score: 2154.5232, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8339, predictive_accuracy: 0.8336, prior_entropy: 0.9913, recall: 0.8336, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7294, scimark_benchmark: 898.1296, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8454, kappa: 0.6887, kb_relative_information_score: 1979.9063, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8483, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7272, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8562, kappa: 0.7094, kb_relative_information_score: 2438.3037, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8568, predictive_accuracy: 0.8559, prior_entropy: 0.9913, recall: 0.8559, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7637, scimark_benchmark: 1264.0609, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.3072, kappa: 0.0061, kb_relative_information_score: -52.2387, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.5382, predictive_accuracy: 0.4516, prior_entropy: 0.9913, recall: 0.4516, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0038, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.3963, kb_relative_information_score: -0.3963, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.8051, kappa: 0.6047, kb_relative_information_score: 2084.17, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8051, predictive_accuracy: 0.8055, prior_entropy: 0.9913, recall: 0.8055, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8874, scimark_benchmark: 1296.8947, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7702, kappa: 0.5342, kb_relative_information_score: 1779.8251, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7805, predictive_accuracy: 0.7748, prior_entropy: 0.9913, recall: 0.7748, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8673, scimark_benchmark: 1316.653, usercpu_time_millis: 2910, usercpu_time_millis_testing: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8537, kappa: 0.7032, kb_relative_information_score: 2232.1612, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8543, predictive_accuracy: 0.8542, prior_entropy: 0.9913, recall: 0.8542, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6775, scimark_benchmark: 1307.3764, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8445, kappa: 0.6855, kb_relative_information_score: 2368.7819, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8448, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7308, scimark_benchmark: 1337.6765, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8374, kappa: 0.6714, kb_relative_information_score: 2103.5741, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.838, predictive_accuracy: 0.8371, prior_entropy: 0.9913, recall: 0.8371, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7077, scimark_benchmark: 1345.7634, usercpu_time_millis: 1060, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.845, kappa: 0.6873, kb_relative_information_score: 2050.0433, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8446, prior_entropy: 0.9913, recall: 0.8446, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.712, scimark_benchmark: 1314.9535, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1320.9387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1356.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1341.4232, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 937.1527, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1343.2125, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8636, kappa: 0.724, kb_relative_information_score: 1638.3504, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8638, predictive_accuracy: 0.8635, prior_entropy: 0.9913, recall: 0.8635, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.681, scimark_benchmark: 932.5646, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8595, kappa: 0.7156, kb_relative_information_score: 1631.4089, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8595, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6824, scimark_benchmark: 1342.1678, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8604, kappa: 0.7177, kb_relative_information_score: 1647.3612, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8606, predictive_accuracy: 0.8603, prior_entropy: 0.9913, recall: 0.8603, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1347.5461, usercpu_time_millis: 490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1345.3152, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1312.0581, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1360.6585, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1341.5795, usercpu_time_millis: 25250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 25110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 1326.8946, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 940.3347, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1354.5533, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1350.8432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1330.3852, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1330.2425, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1352.9931, usercpu_time_millis: 400, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8523, kappa: 0.7027, kb_relative_information_score: 1977.6364, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8552, predictive_accuracy: 0.8519, prior_entropy: 0.9913, recall: 0.8519, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1325.1654, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6832, kb_relative_information_score: 2104.9143, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8439, predictive_accuracy: 0.8441, prior_entropy: 0.9913, recall: 0.8441, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1253.0071, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.838, kappa: 0.6712, kb_relative_information_score: 1871.0439, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9913, recall: 0.8386, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6799, scimark_benchmark: 1319.5773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7139, kappa: 0.4201, kb_relative_information_score: 1481.7355, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7221, predictive_accuracy: 0.7197, prior_entropy: 0.9913, recall: 0.7197, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.0653, scimark_benchmark: 1362.1309, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1350.8432, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1326.2019, usercpu_time_millis: 18870, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 18720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1333.0982, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1331.4379, usercpu_time_millis: 48140, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 48000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1338.5214, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 1342.8632, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1342.8632, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1353.0836, usercpu_time_millis: 22240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 22070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1292.514, usercpu_time_millis: 20720, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 20580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4538, kappa: 0.0093, kb_relative_information_score: 287.0429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.518, predictive_accuracy: 0.5496, prior_entropy: 0.9913, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505, scimark_benchmark: 1286.2211, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 1994.1365, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6847, scimark_benchmark: 945.4523, usercpu_time_millis: 910, usercpu_time_millis_testing: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8449, kappa: 0.6854, kb_relative_information_score: 2108.1217, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 1841.977, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 935.627, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 949.7766, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8549, kappa: 0.7057, kb_relative_information_score: 2262.625, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9913, recall: 0.8554, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, scimark_benchmark: 879.4299,

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