Task
Supervised Classification on house_16H

Supervised Classification on house_16H

Task 3686 Supervised Classification house_16H 390 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7902, kappa: 0.481, kb_relative_information_score: 9730.0579, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7918, predictive_accuracy: 0.7998, prior_entropy: 0.8764, recall: 0.7998, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8371, kappa: 0.6095, kb_relative_information_score: 13194.4369, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8373, predictive_accuracy: 0.837, prior_entropy: 0.8764, recall: 0.837, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 1959.6455, usercpu_time_millis: 366453.125, usercpu_time_millis_testing: 77437.5, usercpu_time_millis_training: 289015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5816, kappa: -0.0004, kb_relative_information_score: 5361.112, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.7038, prior_entropy: 0.8764, recall: 0.7038, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1922, scimark_benchmark: 1959.6455, usercpu_time_millis: 56781.25, usercpu_time_millis_testing: 24406.25, usercpu_time_millis_training: 32375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5215, kappa: -0.0005, kb_relative_information_score: -6641.8965, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.583, predictive_accuracy: 0.4998, prior_entropy: 0.8764, recall: 0.4998, relative_absolute_error: 1.2002, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.5493, scimark_benchmark: 1631.1992, usercpu_time_millis: 1456421.875, usercpu_time_millis_testing: 1203.125, usercpu_time_millis_training: 1455218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5816, kappa: -0.0004, kb_relative_information_score: 5361.112, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.7038, prior_entropy: 0.8764, recall: 0.7038, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1922, scimark_benchmark: 1377.6013, usercpu_time_millis: 82060, usercpu_time_millis_testing: 30470, usercpu_time_millis_training: 51590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 1350.8909, usercpu_time_millis: 577860, usercpu_time_millis_testing: 144300, usercpu_time_millis_training: 433560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5215, kappa: -0.0005, kb_relative_information_score: -6641.8965, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.583, predictive_accuracy: 0.4998, prior_entropy: 0.8764, recall: 0.4998, relative_absolute_error: 1.2002, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.5493, scimark_benchmark: 1716.0381, usercpu_time_millis: 1549990, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1548490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8306, kappa: 0.6023, kb_relative_information_score: 9364.3612, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8366, predictive_accuracy: 0.8276, prior_entropy: 0.8764, recall: 0.8276, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7776, scimark_benchmark: 1908.2191, usercpu_time_millis: 86546.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 86515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8175, kappa: 0.565, kb_relative_information_score: 10254.2977, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8189, predictive_accuracy: 0.8164, prior_entropy: 0.8764, recall: 0.8164, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.8081, scimark_benchmark: 1908.2191, usercpu_time_millis: 87843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 87828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5573, kappa: 0.0029, kb_relative_information_score: -4209.7963, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.5845, predictive_accuracy: 0.5411, prior_entropy: 0.8764, recall: 0.5411, relative_absolute_error: 1.101, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.6774, root_relative_squared_error: 1.4839, scimark_benchmark: 1827.4462, usercpu_time_millis: 1531375, usercpu_time_millis_testing: 1968.75, usercpu_time_millis_training: 1529406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8629, kappa: 0.6713, kb_relative_information_score: 12620.1917, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.863, predictive_accuracy: 0.8628, prior_entropy: 0.8764, recall: 0.8628, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6899, scimark_benchmark: 1465.0678, usercpu_time_millis: 44760, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 44700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8179, kappa: 0.5667, kb_relative_information_score: 10296.6179, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8198, predictive_accuracy: 0.8165, prior_entropy: 0.8764, recall: 0.8165, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.8041, scimark_benchmark: 1760.5198, usercpu_time_millis: 9015.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 9000,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7902, kappa: 0.481, kb_relative_information_score: 9730.0579, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7918, predictive_accuracy: 0.7998, prior_entropy: 0.8764, recall: 0.7998, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8559, scimark_benchmark: 1392.2037, usercpu_time_millis: 490, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8258, kappa: 0.5873, kb_relative_information_score: 9304.9152, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8288, predictive_accuracy: 0.8239, prior_entropy: 0.8764, recall: 0.8239, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7849, scimark_benchmark: 1298.5356, usercpu_time_millis: 12830, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 12740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.8185, kappa: 0.5534, kb_relative_information_score: 12474.1015, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8193, predictive_accuracy: 0.8247, prior_entropy: 0.8764, recall: 0.8247, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9171, scimark_benchmark: 1618.1738, usercpu_time_millis: 4562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8278, kappa: 0.584, kb_relative_information_score: 12724.5407, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8269, predictive_accuracy: 0.829, prior_entropy: 0.8764, recall: 0.829, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9059, scimark_benchmark: 1618.1738, usercpu_time_millis: 1843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8209, kappa: 0.5597, kb_relative_information_score: 9102.7021, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8217, predictive_accuracy: 0.8269, prior_entropy: 0.8764, recall: 0.8269, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.352, root_relative_squared_error: 0.771, scimark_benchmark: 1744.8652, usercpu_time_millis: 968.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.8185, kappa: 0.5632, kb_relative_information_score: 12137.2886, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.818, predictive_accuracy: 0.819, prior_entropy: 0.8764, recall: 0.819, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9318, scimark_benchmark: 1744.8652, usercpu_time_millis: 36609.375, usercpu_time_millis_testing: 36359.375, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.871, kappa: 0.688, kb_relative_information_score: 13061.9446, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8705, predictive_accuracy: 0.8721, prior_entropy: 0.8764, recall: 0.8721, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6624, scimark_benchmark: 1744.8652, usercpu_time_millis: 13406.25, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 13343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8676, kappa: 0.6777, kb_relative_information_score: 12183.2989, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8674, predictive_accuracy: 0.8698, prior_entropy: 0.8764, recall: 0.8698, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7241, scimark_benchmark: 1744.8652, usercpu_time_millis: 14781.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 14750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8622, kappa: 0.6669, kb_relative_information_score: 12882.1153, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8616, predictive_accuracy: 0.8632, prior_entropy: 0.8764, recall: 0.8632, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7151, scimark_benchmark: 1744.8652, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8933, kappa: 0.7415, kb_relative_information_score: 13742.1845, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8931, predictive_accuracy: 0.8945, prior_entropy: 0.8764, recall: 0.8945, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6093, scimark_benchmark: 1744.8652, usercpu_time_millis: 12593.75, usercpu_time_millis_testing: 937.5, usercpu_time_millis_training: 11656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6787, kappa: 0.3352, kb_relative_information_score: 1784.4948, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7543, predictive_accuracy: 0.6643, prior_entropy: 0.8764, recall: 0.6643, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.1824, scimark_benchmark: 1744.8652, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8596, kappa: 0.6611, kb_relative_information_score: 13388.7496, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.859, predictive_accuracy: 0.8605, prior_entropy: 0.8764, recall: 0.8605, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7614, scimark_benchmark: 1744.8652, usercpu_time_millis: 3109.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 3078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7902, kappa: 0.481, kb_relative_information_score: 9730.0579, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7918, predictive_accuracy: 0.7998, prior_entropy: 0.8764, recall: 0.7998, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8559, scimark_benchmark: 1744.8652, usercpu_time_millis: 750, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8183, kappa: 0.5529, kb_relative_information_score: 12463.7741, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8191, predictive_accuracy: 0.8246, prior_entropy: 0.8764, recall: 0.8246, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9175, scimark_benchmark: 1744.8652, usercpu_time_millis: 7375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 7343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8278, kappa: 0.584, kb_relative_information_score: 12724.5407, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8269, predictive_accuracy: 0.829, prior_entropy: 0.8764, recall: 0.829, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9059, scimark_benchmark: 1744.8652, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8258, kappa: 0.5873, kb_relative_information_score: 9304.9272, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8288, predictive_accuracy: 0.8239, prior_entropy: 0.8764, recall: 0.8239, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7849, scimark_benchmark: 1744.8652, usercpu_time_millis: 8234.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 8203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8209, kappa: 0.5597, kb_relative_information_score: 9102.7021, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8217, predictive_accuracy: 0.8269, prior_entropy: 0.8764, recall: 0.8269, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.352, root_relative_squared_error: 0.771, scimark_benchmark: 1744.8652, usercpu_time_millis: 921.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.8185, kappa: 0.5632, kb_relative_information_score: 12137.2886, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.818, predictive_accuracy: 0.819, prior_entropy: 0.8764, recall: 0.819, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9318, scimark_benchmark: 1744.8652, usercpu_time_millis: 23765.625, usercpu_time_millis_testing: 23515.625, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.871, kappa: 0.688, kb_relative_information_score: 13061.9446, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8705, predictive_accuracy: 0.8721, prior_entropy: 0.8764, recall: 0.8721, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6624, scimark_benchmark: 1744.8652, usercpu_time_millis: 11062.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 11000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8634, kappa: 0.6668, kb_relative_information_score: 12043.1118, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8634, predictive_accuracy: 0.8661, prior_entropy: 0.8764, recall: 0.8661, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.732, scimark_benchmark: 1744.8652, usercpu_time_millis: 14671.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 14640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8615, kappa: 0.6653, kb_relative_information_score: 12858.7617, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8609, predictive_accuracy: 0.8627, prior_entropy: 0.8764, recall: 0.8627, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.7159, scimark_benchmark: 1744.8652, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8933, kappa: 0.7413, kb_relative_information_score: 13742.1202, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8931, predictive_accuracy: 0.8945, prior_entropy: 0.8764, recall: 0.8945, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.278, root_relative_squared_error: 0.609, scimark_benchmark: 1744.8652, usercpu_time_millis: 12562.5, usercpu_time_millis_testing: 1265.625, usercpu_time_millis_training: 11296.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7655, kappa: 0.4156, kb_relative_information_score: 8617.9325, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7712, predictive_accuracy: 0.7814, prior_entropy: 0.8764, recall: 0.7814, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.877, scimark_benchmark: 1838.8826, usercpu_time_millis: 842.4054, usercpu_time_millis_testing: 93.6006, usercpu_time_millis_training: 748.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7902, kappa: 0.481, kb_relative_information_score: 9730.0579, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7918, predictive_accuracy: 0.7998, prior_entropy: 0.8764, recall: 0.7998, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8559, scimark_benchmark: 1838.8826, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 124.8008, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5817, kb_relative_information_score: -0.3275, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4565, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8841, kappa: 0.7183, kb_relative_information_score: 16073.1968, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8841, predictive_accuracy: 0.8859, prior_entropy: 0.8764, recall: 0.8859, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7399, usercpu_time_millis: 7072.493, usercpu_time_millis_testing: 1478.686, usercpu_time_millis_training: 5593.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8945, kappa: 0.7443, kb_relative_information_score: 16641.2032, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8942, predictive_accuracy: 0.8956, prior_entropy: 0.8764, recall: 0.8956, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.7079, usercpu_time_millis: 3743.457, usercpu_time_millis_testing: 584.462, usercpu_time_millis_training: 3158.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8171, kappa: 0.5497, kb_relative_information_score: 12412.1372, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8182, predictive_accuracy: 0.8237, prior_entropy: 0.8764, recall: 0.8237, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9198, usercpu_time_millis: 1942.724, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1942.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8801, kappa: 0.7097, kb_relative_information_score: 15799.521, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8797, predictive_accuracy: 0.8813, prior_entropy: 0.8764, recall: 0.8813, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7548, usercpu_time_millis: 426.887, usercpu_time_millis_testing: 9.954, usercpu_time_millis_training: 416.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.8258, kappa: 0.5695, kb_relative_information_score: 12985.3073, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8294, predictive_accuracy: 0.8334, prior_entropy: 0.8764, recall: 0.8334, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.894, usercpu_time_millis: 1809.822, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 1809.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.6449, kappa: 0.126, kb_relative_information_score: 2626.9356, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.637, predictive_accuracy: 0.6573, prior_entropy: 0.8764, recall: 0.6573, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5854, root_relative_squared_error: 1.2823, usercpu_time_millis: 76.646, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 75.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.854, kappa: 0.6468, kb_relative_information_score: 14273.6492, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8533, predictive_accuracy: 0.8553, prior_entropy: 0.8764, recall: 0.8553, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.8332, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5819, kappa: 0.0002, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6436, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918, usercpu_time_millis: 16.156, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 16.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7727, kappa: 0.4341, kb_relative_information_score: 10282.1131, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7783, predictive_accuracy: 0.7875, prior_entropy: 0.8764, recall: 0.7875, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0099, usercpu_time_millis: 6.907, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 6.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5817, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918, usercpu_time_millis: 7.814, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 7.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.842, kappa: 0.6191, kb_relative_information_score: 13540.4045, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8414, predictive_accuracy: 0.8429, prior_entropy: 0.8764, recall: 0.8429, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8684, usercpu_time_millis: 3.349, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 3.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8524, kappa: 0.6386, kb_relative_information_score: 14320.1224, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8529, predictive_accuracy: 0.8561, prior_entropy: 0.8764, recall: 0.8561, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.8309, usercpu_time_millis: 235.793, usercpu_time_millis_testing: 1.063, usercpu_time_millis_training: 234.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8937, kappa: 0.7426, kb_relative_information_score: 16594.73, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8934, predictive_accuracy: 0.8948, prior_entropy: 0.8764, recall: 0.8948, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7105, usercpu_time_millis: 607.866, usercpu_time_millis_testing: 8.366, usercpu_time_millis_training: 599.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.6185, kappa: 0.0696, kb_relative_information_score: 5965.2643, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7054, predictive_accuracy: 0.7141, prior_entropy: 0.8764, recall: 0.7141, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.1713, usercpu_time_millis: 184.492, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 182.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8943, kappa: 0.7442, kb_relative_information_score: 16625.7121, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.894, predictive_accuracy: 0.8953, prior_entropy: 0.8764, recall: 0.8953, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7088, usercpu_time_millis: 375.55, usercpu_time_millis_testing: 2.351, usercpu_time_millis_training: 373.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.8079, kappa: 0.5221, kb_relative_information_score: 12187.5165, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8165, predictive_accuracy: 0.8199, prior_entropy: 0.8764, recall: 0.8199, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9297, usercpu_time_millis: 4.629, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.8094, kappa: 0.5282, kb_relative_information_score: 12099.7337, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8128, predictive_accuracy: 0.8184, prior_entropy: 0.8764, recall: 0.8184, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9336, usercpu_time_millis: 20.242, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 20.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.5972, kappa: 0.0276, kb_relative_information_score: 5559.9142, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6845, predictive_accuracy: 0.7072, prior_entropy: 0.8764, recall: 0.7072, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1854, usercpu_time_millis: 5.071, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 4.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8647, kappa: 0.6712, kb_relative_information_score: 14942.3476, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8643, predictive_accuracy: 0.8667, prior_entropy: 0.8764, recall: 0.8667, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7998, usercpu_time_millis: 44.769, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 44.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.598, kappa: 0.0295, kb_relative_information_score: 5590.8964, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6906, predictive_accuracy: 0.7077, prior_entropy: 0.8764, recall: 0.7077, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.1843, usercpu_time_millis: 20.203, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 20.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.7328, kappa: 0.337, kb_relative_information_score: 7922.3046, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7315, predictive_accuracy: 0.7474, prior_entropy: 0.8764, recall: 0.7474, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.1011, usercpu_time_millis: 4.015, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.8328, kappa: 0.5954, kb_relative_information_score: 13039.5261, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8319, predictive_accuracy: 0.8344, prior_entropy: 0.8764, recall: 0.8344, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8916, usercpu_time_millis: 21.789, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 21.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5817, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918, usercpu_time_millis: 471.476, usercpu_time_millis_testing: 28.844, usercpu_time_millis_training: 442.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5568, kappa: -0.0001, kb_relative_information_score: -4230.4511, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.5832, predictive_accuracy: 0.5408, prior_entropy: 0.8764, recall: 0.5408, relative_absolute_error: 1.1019, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4845, usercpu_time_millis: 4.692, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 4.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.8175, kappa: 0.5505, kb_relative_information_score: 12443.1194, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8188, predictive_accuracy: 0.8242, prior_entropy: 0.8764, recall: 0.8242, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9185, usercpu_time_millis: 477.716, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 477.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.8185, kappa: 0.5632, kb_relative_information_score: 12138.4614, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.818, predictive_accuracy: 0.819, prior_entropy: 0.8764, recall: 0.819, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9319, usercpu_time_millis: 743.317, usercpu_time_millis_testing: 94.149, usercpu_time_millis_training: 649.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7907, kappa: 0.4822, kb_relative_information_score: 11043.7581, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7925, predictive_accuracy: 0.8004, prior_entropy: 0.8764, recall: 0.8004, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9786, usercpu_time_millis: 16.492, usercpu_time_millis_testing: 14.916, usercpu_time_millis_training: 1.576,

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