Task
Supervised Classification on vehicle_sensIT

Supervised Classification on vehicle_sensIT

Task 3507 Supervised Classification vehicle_sensIT 233 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.8021, kappa: 0.6118, kb_relative_information_score: 60286.1622, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8318, predictive_accuracy: 0.8059, prior_entropy: 1, recall: 0.8059, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7855, kappa: 0.5711, kb_relative_information_score: 56252, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7856, predictive_accuracy: 0.7856, prior_entropy: 1, recall: 0.7856, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8494, kappa: 0.7004, kb_relative_information_score: 69010, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8582, predictive_accuracy: 0.8502, prior_entropy: 1, recall: 0.8502, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7015, kappa: 0.403, kb_relative_information_score: 39704, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7015, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8639, kappa: 0.7288, kb_relative_information_score: 71812, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8702, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8494, kappa: 0.7004, kb_relative_information_score: 69010, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8582, predictive_accuracy: 0.8502, prior_entropy: 1, recall: 0.8502, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7741, scimark_benchmark: 1695.8273, usercpu_time_millis: 14135400, usercpu_time_millis_testing: 2573920, usercpu_time_millis_training: 11561480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8639, kappa: 0.7288, kb_relative_information_score: 71812, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8702, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364, scimark_benchmark: 1666.1511, usercpu_time_millis: 7978850, usercpu_time_millis_testing: 2808860, usercpu_time_millis_training: 5169990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7015, kappa: 0.403, kb_relative_information_score: 39704, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7015, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0927, scimark_benchmark: 1166.1098, usercpu_time_millis: 5940450, usercpu_time_millis_testing: 2807750, usercpu_time_millis_training: 3132700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8619, kappa: 0.7249, kb_relative_information_score: 57941.6641, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8688, predictive_accuracy: 0.8625, prior_entropy: 1, recall: 0.8625, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6762, scimark_benchmark: 1918.4916, usercpu_time_millis: 3037125, usercpu_time_millis_testing: 2234.375, usercpu_time_millis_training: 3034890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8591, kappa: 0.7192, kb_relative_information_score: 66064.1356, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8651, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6649, scimark_benchmark: 1918.4916, usercpu_time_millis: 3761687.5, usercpu_time_millis_testing: 2328.125, usercpu_time_millis_training: 3759359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8597, kappa: 0.7202, kb_relative_information_score: 65456.0221, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.864, predictive_accuracy: 0.8601, prior_entropy: 1, recall: 0.8601, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6673, scimark_benchmark: 1429.3702, usercpu_time_millis: 6231810, usercpu_time_millis_testing: 7280, usercpu_time_millis_training: 6224530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8591, kappa: 0.7192, kb_relative_information_score: 66064.1338, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8651, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6649, scimark_benchmark: 1360.6915, usercpu_time_millis: 403640.625, usercpu_time_millis_testing: 2656.25, usercpu_time_millis_training: 400984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8487, kappa: 0.6974, kb_relative_information_score: 68710, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8488, predictive_accuracy: 0.8487, prior_entropy: 1, recall: 0.8487, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.778, scimark_benchmark: 426.1614, usercpu_time_millis: 187750, usercpu_time_millis_testing: 2030, usercpu_time_millis_training: 185720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8589, kappa: 0.7187, kb_relative_information_score: 58961.0779, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8642, predictive_accuracy: 0.8594, prior_entropy: 1, recall: 0.8594, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, scimark_benchmark: 1104.4804, usercpu_time_millis: 3695390, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 3694060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.8022, kappa: 0.612, kb_relative_information_score: 60302.1622, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8318, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8795, scimark_benchmark: 1339.1639, usercpu_time_millis: 80910, usercpu_time_millis_testing: 6260, usercpu_time_millis_training: 74650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8607, kappa: 0.7226, kb_relative_information_score: 57566.6075, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8679, predictive_accuracy: 0.8613, prior_entropy: 1, recall: 0.8613, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6729, scimark_benchmark: 1324.0469, usercpu_time_millis: 535300, usercpu_time_millis_testing: 3460, usercpu_time_millis_training: 531840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.739, kappa: 0.4794, kb_relative_information_score: 47221.2506, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7422, predictive_accuracy: 0.7397, prior_entropy: 1, recall: 0.7397, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0204, scimark_benchmark: 1269.6596, usercpu_time_millis: 5613450, usercpu_time_millis_testing: 5545840, usercpu_time_millis_training: 67610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8593, kappa: 0.7194, kb_relative_information_score: 59082.1043, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8636, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.327, root_relative_squared_error: 0.654, scimark_benchmark: 1393.8026, usercpu_time_millis: 1682440, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 1681070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8513, kappa: 0.7041, kb_relative_information_score: 69378, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8597, predictive_accuracy: 0.8521, prior_entropy: 1, recall: 0.8521, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, scimark_benchmark: 1297.4594, usercpu_time_millis: 1762630, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 1761860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8579, kappa: 0.7169, kb_relative_information_score: 58174.6381, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8636, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6555, scimark_benchmark: 1383.9118, usercpu_time_millis: 99420, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 98300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8689, kappa: 0.7385, kb_relative_information_score: 58741.6763, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8729, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6391, scimark_benchmark: 1265.571, usercpu_time_millis: 743400, usercpu_time_millis_testing: 43320, usercpu_time_millis_training: 700080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8355, kappa: 0.6719, kb_relative_information_score: 59907.9581, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8393, predictive_accuracy: 0.8359, prior_entropy: 1, recall: 0.8359, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7701, scimark_benchmark: 1339.4401, usercpu_time_millis: 343950, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 343330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8488, kappa: 0.6985, kb_relative_information_score: 58933.6252, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8533, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6866, scimark_benchmark: 1127.4726, usercpu_time_millis: 156640, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 156050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8063, kappa: 0.6179, kb_relative_information_score: 57140.5001, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8266, predictive_accuracy: 0.8089, prior_entropy: 1, recall: 0.8089, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8464, scimark_benchmark: 1118.9986, usercpu_time_millis: 77140, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 74890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.8022, kappa: 0.612, kb_relative_information_score: 60302.1622, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8318, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8795, scimark_benchmark: 1336.5452, usercpu_time_millis: 69110, usercpu_time_millis_testing: 6500, usercpu_time_millis_training: 62610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8513, kappa: 0.7042, kb_relative_information_score: 69380, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8597, predictive_accuracy: 0.8521, prior_entropy: 1, recall: 0.8521, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, scimark_benchmark: 1618.1738, usercpu_time_millis: 1260890.625, usercpu_time_millis_testing: 546.875, usercpu_time_millis_training: 1260343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8487, kappa: 0.6974, kb_relative_information_score: 68710, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8488, predictive_accuracy: 0.8487, prior_entropy: 1, recall: 0.8487, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.778, scimark_benchmark: 1618.1738, usercpu_time_millis: 75828.125, usercpu_time_millis_testing: 546.875, usercpu_time_millis_training: 75281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8602, kappa: 0.7218, kb_relative_information_score: 57458.8809, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8679, predictive_accuracy: 0.8609, prior_entropy: 1, recall: 0.8609, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734, scimark_benchmark: 928.6076, usercpu_time_millis: 717920, usercpu_time_millis_testing: 6220, usercpu_time_millis_training: 711700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8576, kappa: 0.7162, kb_relative_information_score: 58752.3836, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8629, predictive_accuracy: 0.8581, prior_entropy: 1, recall: 0.8581, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 897.9765, usercpu_time_millis: 7639400, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 7638200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.739, kappa: 0.4794, kb_relative_information_score: 47221.2506, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7422, predictive_accuracy: 0.7397, prior_entropy: 1, recall: 0.7397, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0204, scimark_benchmark: 825.4223, usercpu_time_millis: 7599880, usercpu_time_millis_testing: 7526070, usercpu_time_millis_training: 73810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8579, kappa: 0.7169, kb_relative_information_score: 58174.6378, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8636, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6555, scimark_benchmark: 796.2381, usercpu_time_millis: 133600, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 131720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8593, kappa: 0.7194, kb_relative_information_score: 59082.1043, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8636, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.327, root_relative_squared_error: 0.654, scimark_benchmark: 1385.3529, usercpu_time_millis: 1596710, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 1595630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8689, kappa: 0.7384, kb_relative_information_score: 58785.9459, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8728, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6384, scimark_benchmark: 658.6952, usercpu_time_millis: 1328000, usercpu_time_millis_testing: 62780, usercpu_time_millis_training: 1265220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8487, kappa: 0.6983, kb_relative_information_score: 58919.8524, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8533, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6868, scimark_benchmark: 502.6268, usercpu_time_millis: 235400, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 234770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8063, kappa: 0.6179, kb_relative_information_score: 57140.5001, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8266, predictive_accuracy: 0.8089, prior_entropy: 1, recall: 0.8089, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8464, scimark_benchmark: 996.5286, usercpu_time_millis: 93080, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 90950,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8593, kappa: 0.7194, kb_relative_information_score: 59082.1043, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8636, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.327, root_relative_squared_error: 0.654, scimark_benchmark: 1788.6668, usercpu_time_millis: 1381109.375, usercpu_time_millis_testing: 578.125, usercpu_time_millis_training: 1380531.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7828, kappa: 0.5797, kb_relative_information_score: 41566.1678, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8327, predictive_accuracy: 0.7898, prior_entropy: 1, recall: 0.7898, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7763, scimark_benchmark: 936.3373, usercpu_time_millis: 1747733380, usercpu_time_millis_testing: 1747733330, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8749, kappa: 0.7505, kb_relative_information_score: 61325.3268, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8794, predictive_accuracy: 0.8752, prior_entropy: 1, recall: 0.8752, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6226, scimark_benchmark: 936.9759, usercpu_time_millis: 6280640, usercpu_time_millis_testing: 482340, usercpu_time_millis_training: 5798300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8349, kappa: 0.6711, kb_relative_information_score: 55331.3844, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8407, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7336, scimark_benchmark: 819.5729, usercpu_time_millis: 152970, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 151100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.837, kappa: 0.6755, kb_relative_information_score: 41244.4743, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8443, predictive_accuracy: 0.8378, prior_entropy: 1, recall: 0.8378, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 935.2002, usercpu_time_millis: 653280, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 653050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8418, kappa: 0.6841, kb_relative_information_score: 55700.3871, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8447, predictive_accuracy: 0.8421, prior_entropy: 1, recall: 0.8421, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6847, scimark_benchmark: 944.0133, usercpu_time_millis: 582130, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 581910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8763, kappa: 0.7533, kb_relative_information_score: 61368.9153, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8808, predictive_accuracy: 0.8766, prior_entropy: 1, recall: 0.8766, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.619, scimark_benchmark: 919.9068, usercpu_time_millis: 35115170, usercpu_time_millis_testing: 3288930, usercpu_time_millis_training: 31826240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8758, kappa: 0.7522, kb_relative_information_score: 61342.1113, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8802, predictive_accuracy: 0.8761, prior_entropy: 1, recall: 0.8761, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6204, scimark_benchmark: 942.2392, usercpu_time_millis: 14072910, usercpu_time_millis_testing: 1200770, usercpu_time_millis_training: 12872140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8731, kappa: 0.747, kb_relative_information_score: 61201.3656, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8775, predictive_accuracy: 0.8735, prior_entropy: 1, recall: 0.8735, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6274, scimark_benchmark: 936.8729, usercpu_time_millis: 3824080, usercpu_time_millis_testing: 296730, usercpu_time_millis_training: 3527350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.869, kappa: 0.7386, kb_relative_information_score: 61131.7628, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.873, predictive_accuracy: 0.8693, prior_entropy: 1, recall: 0.8693, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6348, scimark_benchmark: 934.929, usercpu_time_millis: 1693030, usercpu_time_millis_testing: 82000, usercpu_time_millis_training: 1611030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8268, kappa: 0.6552, kb_relative_information_score: 53719.1204, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7079, scimark_benchmark: 894.7131, usercpu_time_millis: 143110, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 142870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8268, kappa: 0.6552, kb_relative_information_score: 53719.1204, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7079, scimark_benchmark: 894.7131, usercpu_time_millis: 141170, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8268, kappa: 0.6552, kb_relative_information_score: 53719.1204, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7079, scimark_benchmark: 936.1714, usercpu_time_millis: 129900, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 129660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8268, kappa: 0.6552, kb_relative_information_score: 53719.1204, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7079, scimark_benchmark: 929.0296, usercpu_time_millis: 143240, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 142990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8268, kappa: 0.6552, kb_relative_information_score: 53719.1204, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7079, scimark_benchmark: 894.7131, usercpu_time_millis: 138740, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 138490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8369, kappa: 0.6742, kb_relative_information_score: 58064.7704, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8391, predictive_accuracy: 0.8371, prior_entropy: 1, recall: 0.8371, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7015, scimark_benchmark: 941.9549, usercpu_time_millis: 53410, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 52720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8493, kappa: 0.7011, kb_relative_information_score: 68100.5055, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.863, predictive_accuracy: 0.8506, prior_entropy: 1, recall: 0.8506, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7223, scimark_benchmark: 936.7286, usercpu_time_millis: 2592280, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 2590040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8478, kappa: 0.6971, kb_relative_information_score: 68686, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8561, predictive_accuracy: 0.8486, prior_entropy: 1, recall: 0.8486, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8425, kappa: 0.6875, kb_relative_information_score: 66556.4599, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8551, predictive_accuracy: 0.8437, prior_entropy: 1, recall: 0.8437, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7334, scimark_benchmark: 938.3115, usercpu_time_millis: 1405770, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 1404660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8196, kappa: 0.6448, kb_relative_information_score: 62595.5196, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8438, predictive_accuracy: 0.8224, prior_entropy: 1, recall: 0.8224, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7875, scimark_benchmark: 935.6052, usercpu_time_millis: 683060, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 682470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8477, kappa: 0.697, kb_relative_information_score: 68678, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8561, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8091, kappa: 0.6246, kb_relative_information_score: 59891.4866, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8347, predictive_accuracy: 0.8123, prior_entropy: 1, recall: 0.8123, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.811, scimark_benchmark: 938.3115, usercpu_time_millis: 365950, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 365620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7838, kappa: 0.5814, kb_relative_information_score: 57047.465, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8329, predictive_accuracy: 0.7907, prior_entropy: 1, recall: 0.7907, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8391, scimark_benchmark: 941.9549, usercpu_time_millis: 187290, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 187080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8224, kappa: 0.646, kb_relative_information_score: 59171.1462, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8273, predictive_accuracy: 0.823, prior_entropy: 1, recall: 0.823, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7048, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kappa: -0.0001, kb_relative_information_score: -8, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4143, scimark_benchmark: 941.9549, usercpu_time_millis: 2710, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.8358, kappa: 0.6725, kb_relative_information_score: 59972.1766, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8395, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7696, scimark_benchmark: 941.9549, usercpu_time_millis: 306820, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 303530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7838, kappa: 0.581, kb_relative_information_score: 41232.8288, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8318, predictive_accuracy: 0.7905, prior_entropy: 1, recall: 0.7905, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7803, scimark_benchmark: 931.7994, usercpu_time_millis: 12930, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 12730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8349, kappa: 0.6711, kb_relative_information_score: 55331.3844, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8407, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7336, scimark_benchmark: 926.4745, usercpu_time_millis: 94330, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 92470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.837, kappa: 0.6755, kb_relative_information_score: 41244.4743, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8443, predictive_accuracy: 0.8378, prior_entropy: 1, recall: 0.8378, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 934.1885, usercpu_time_millis: 669990, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 669760,

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