OpenML
Supervised Classification on cal_housing

Supervised Classification on cal_housing

Task 3687 Supervised Classification cal_housing 401 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: 0.8298, f_measure: 0.8398, kappa: 0.6665, kb_relative_information_score: 13721.8129, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8401, predictive_accuracy: 0.8408, prior_entropy: 0.9745, recall: 0.8408, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8124, usercpu_time_millis: 193.189, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 193.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8445, kappa: 0.6771, kb_relative_information_score: 13898.6598, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8444, predictive_accuracy: 0.8449, prior_entropy: 0.9745, recall: 0.8449, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.802, usercpu_time_millis: 49.771, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 49.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8449, kappa: 0.6779, kb_relative_information_score: 13911.2917, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8447, predictive_accuracy: 0.8452, prior_entropy: 0.9745, recall: 0.8452, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8012, usercpu_time_millis: 3.363, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 3.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.725, kappa: 0.4249, kb_relative_information_score: 9016.4225, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.731, predictive_accuracy: 0.7325, prior_entropy: 0.9745, recall: 0.7325, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0531, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8139, kappa: 0.6121, kb_relative_information_score: 12622.8358, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8146, predictive_accuracy: 0.8155, prior_entropy: 0.9745, recall: 0.8155, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8746, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8428, kappa: 0.6726, kb_relative_information_score: 13856.5534, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8433, predictive_accuracy: 0.8439, prior_entropy: 0.9745, recall: 0.8439, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8045, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8669, kappa: 0.723, kb_relative_information_score: 14883.9496, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8671, predictive_accuracy: 0.8675, prior_entropy: 0.9745, recall: 0.8675, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.364, root_relative_squared_error: 0.741, usercpu_time_millis: 134.614, usercpu_time_millis_testing: 11.587, usercpu_time_millis_training: 123.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8466, kappa: 0.681, kb_relative_information_score: 13995.5045, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8465, predictive_accuracy: 0.8471, prior_entropy: 0.9745, recall: 0.8471, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7962, usercpu_time_millis: 7.485, usercpu_time_millis_testing: 7.191, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8631, kappa: 0.7146, kb_relative_information_score: 14738.6825, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8642, predictive_accuracy: 0.8642, prior_entropy: 0.9745, recall: 0.8642, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7503, usercpu_time_millis: 119.633, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 119.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8718, kappa: 0.7339, kb_relative_information_score: 15075.5337, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8717, predictive_accuracy: 0.8719, prior_entropy: 0.9745, recall: 0.8719, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7286, usercpu_time_millis: 8.63, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 8.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.8233, kappa: 0.6332, kb_relative_information_score: 12974.4243, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8231, predictive_accuracy: 0.8236, prior_entropy: 0.9745, recall: 0.8236, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8552, usercpu_time_millis: 197.309, usercpu_time_millis_testing: 22.583, usercpu_time_millis_training: 174.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8428, kappa: 0.6726, kb_relative_information_score: 13856.5534, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8433, predictive_accuracy: 0.8439, prior_entropy: 0.9745, recall: 0.8439, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8045, usercpu_time_millis: 148.28, usercpu_time_millis_testing: 28.319, usercpu_time_millis_training: 119.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8297, kappa: 0.6449, kb_relative_information_score: 13307.0648, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8307, predictive_accuracy: 0.8313, prior_entropy: 0.9745, recall: 0.8313, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8364, usercpu_time_millis: 9.172, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 9.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7909, kappa: 0.563, kb_relative_information_score: 11721.7588, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.795, predictive_accuracy: 0.7948, prior_entropy: 0.9745, recall: 0.7948, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9224, usercpu_time_millis: 11.1, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 11.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kb_relative_information_score: 2986.7858, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5938, prior_entropy: 0.9745, recall: 0.5938, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, usercpu_time_millis: 8.376, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 8.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4901, kappa: 0.0001, kb_relative_information_score: 2174.1322, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.5177, predictive_accuracy: 0.575, prior_entropy: 0.9745, recall: 0.575, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3273, usercpu_time_millis: 4.766, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 4.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8116, kappa: 0.608, kb_relative_information_score: 12494.4113, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8115, predictive_accuracy: 0.8125, prior_entropy: 0.9745, recall: 0.8125, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8815, usercpu_time_millis: 7.624, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 7.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8826, kappa: 0.756, kb_relative_information_score: 15557.652, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8827, predictive_accuracy: 0.883, prior_entropy: 0.9745, recall: 0.883, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6963, usercpu_time_millis: 1664.911, usercpu_time_millis_testing: 4.915, usercpu_time_millis_training: 1659.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8828, kappa: 0.7563, kb_relative_information_score: 15566.0733, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8829, predictive_accuracy: 0.8832, prior_entropy: 0.9745, recall: 0.8832, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6958, usercpu_time_millis: 112.182, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 110.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8449, kappa: 0.6779, kb_relative_information_score: 13911.2917, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8447, predictive_accuracy: 0.8452, prior_entropy: 0.9745, recall: 0.8452, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8012, usercpu_time_millis: 3.401, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 3.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6115, kappa: 0.1935, kb_relative_information_score: 3788.9127, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.6109, predictive_accuracy: 0.6122, prior_entropy: 0.9745, recall: 0.6122, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6227, root_relative_squared_error: 1.2679, usercpu_time_millis: 49.748, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 48.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8151, kappa: 0.6142, kb_relative_information_score: 12683.8901, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8162, predictive_accuracy: 0.8169, prior_entropy: 0.9745, recall: 0.8169, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8712, usercpu_time_millis: 64.032, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 63.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8727, kappa: 0.735, kb_relative_information_score: 15136.588, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8731, predictive_accuracy: 0.8734, prior_entropy: 0.9745, recall: 0.8734, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7246, usercpu_time_millis: 237.17, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 235.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8508, kappa: 0.6889, kb_relative_information_score: 12027.7907, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9745, recall: 0.8521, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6878, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.827, kappa: 0.64, kb_relative_information_score: 7840.3952, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.827, predictive_accuracy: 0.8278, prior_entropy: 0.9745, recall: 0.8278, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7462, scimark_benchmark: 972.587, usercpu_time_millis: 1550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8285, kappa: 0.6423, kb_relative_information_score: 10145.1613, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8296, predictive_accuracy: 0.8301, prior_entropy: 0.9745, recall: 0.8301, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7068, scimark_benchmark: 851.2074, usercpu_time_millis: 4480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kappa: -0.0001, kb_relative_information_score: 2984.6805, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5937, prior_entropy: 0.9745, recall: 0.5937, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, scimark_benchmark: 904.6764, usercpu_time_millis: 184410, usercpu_time_millis_testing: 47530, usercpu_time_millis_training: 136880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kappa: -0.0001, kb_relative_information_score: 2984.6805, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5937, prior_entropy: 0.9745, recall: 0.5937, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 941.6675, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8876, kappa: 0.7664, kb_relative_information_score: 13767.5817, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8876, predictive_accuracy: 0.8879, prior_entropy: 0.9745, recall: 0.8879, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5825, scimark_benchmark: 941.6675, usercpu_time_millis: 2370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kappa: -0.0001, kb_relative_information_score: 2984.6805, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5937, prior_entropy: 0.9745, recall: 0.5937, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8223, kappa: 0.6319, kb_relative_information_score: 11362.1605, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8225, predictive_accuracy: 0.8221, prior_entropy: 0.9745, recall: 0.8221, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7204, scimark_benchmark: 974.2014, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8931, kappa: 0.7776, kb_relative_information_score: 13950.8146, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8932, predictive_accuracy: 0.8935, prior_entropy: 0.9745, recall: 0.8935, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5637, scimark_benchmark: 947.1781, usercpu_time_millis: 12720, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 11690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8223, kappa: 0.6319, kb_relative_information_score: 11362.1605, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8225, predictive_accuracy: 0.8221, prior_entropy: 0.9745, recall: 0.8221, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7204, scimark_benchmark: 938.838, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 945.0194, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 938.838, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 935.627, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8876, kappa: 0.7664, kb_relative_information_score: 13767.5817, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8876, predictive_accuracy: 0.8879, prior_entropy: 0.9745, recall: 0.8879, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5825, scimark_benchmark: 935.627, usercpu_time_millis: 2080, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 942.3809, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8555, kappa: 0.6999, kb_relative_information_score: 12731.332, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8554, predictive_accuracy: 0.8558, prior_entropy: 0.9745, recall: 0.8558, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6725, scimark_benchmark: 928.8135, usercpu_time_millis: 6410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8931, kappa: 0.7776, kb_relative_information_score: 13950.8146, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8932, predictive_accuracy: 0.8935, prior_entropy: 0.9745, recall: 0.8935, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5637, scimark_benchmark: 946.9304, usercpu_time_millis: 13220, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 12240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8508, kappa: 0.6889, kb_relative_information_score: 12027.7907, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9745, recall: 0.8521, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6878, scimark_benchmark: 901.8743, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kappa: -0.0001, kb_relative_information_score: 2984.6805, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5937, prior_entropy: 0.9745, recall: 0.5937, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, scimark_benchmark: 1314.9949, usercpu_time_millis: 624480, usercpu_time_millis_testing: 136670, usercpu_time_millis_training: 487810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 926.6704, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 926.6704, usercpu_time_millis: 200, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8876, kappa: 0.7664, kb_relative_information_score: 13767.5817, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8876, predictive_accuracy: 0.8879, prior_entropy: 0.9745, recall: 0.8879, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5825, scimark_benchmark: 926.6704, usercpu_time_millis: 2790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 1325.7874, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8931, kappa: 0.7776, kb_relative_information_score: 13950.8146, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8932, predictive_accuracy: 0.8935, prior_entropy: 0.9745, recall: 0.8935, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5637, scimark_benchmark: 1342.8632, usercpu_time_millis: 11660, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 10100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8578, kappa: 0.7045, kb_relative_information_score: 12169.3789, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8578, predictive_accuracy: 0.8583, prior_entropy: 0.9745, recall: 0.8583, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6483, scimark_benchmark: 1332.9478, usercpu_time_millis: 5678160, usercpu_time_millis_testing: 55780, usercpu_time_millis_training: 5622380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 1362.9924, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8876, kappa: 0.7664, kb_relative_information_score: 13767.5817, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8876, predictive_accuracy: 0.8879, prior_entropy: 0.9745, recall: 0.8879, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5825, scimark_benchmark: 1313.8988, usercpu_time_millis: 2430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4424, kappa: -0.0001, kb_relative_information_score: 2984.6805, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.3525, predictive_accuracy: 0.5937, prior_entropy: 0.9745, recall: 0.5937, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6374, root_relative_squared_error: 1.2978, scimark_benchmark: 1286.2211, usercpu_time_millis: 658690, usercpu_time_millis_testing: 141340, usercpu_time_millis_training: 517350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8223, kappa: 0.6319, kb_relative_information_score: 11362.1605, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8225, predictive_accuracy: 0.8221, prior_entropy: 0.9745, recall: 0.8221, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7204, scimark_benchmark: 1349.1517, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 1286.2211, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 1338.5214, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 908.2231, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.827, kappa: 0.64, kb_relative_information_score: 7840.3952, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.827, predictive_accuracy: 0.8278, prior_entropy: 0.9745, recall: 0.8278, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7462, scimark_benchmark: 1336.0954, usercpu_time_millis: 1700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8223, kappa: 0.6319, kb_relative_information_score: 11362.1605, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8225, predictive_accuracy: 0.8221, prior_entropy: 0.9745, recall: 0.8221, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7204, scimark_benchmark: 1340.9749, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8492, kappa: 0.6871, kb_relative_information_score: 12179.0067, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9745, recall: 0.8494, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.662, scimark_benchmark: 1317.5857, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8508, kappa: 0.6889, kb_relative_information_score: 12027.7907, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9745, recall: 0.8521, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6878, scimark_benchmark: 1296.8947, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.827, kappa: 0.64, kb_relative_information_score: 7840.3952, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.827, predictive_accuracy: 0.8278, prior_entropy: 0.9745, recall: 0.8278, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7462, scimark_benchmark: 1313.8988, usercpu_time_millis: 1370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8578, kappa: 0.7045, kb_relative_information_score: 12169.3789, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4824, number_of_instances: 20640, precision: 0.8578, predictive_accuracy: 0.8583, prior_entropy: 0.9745, recall: 0.8583, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6483, scimark_benchmark: 1321.6503, usercpu_time_millis: 4571050, usercpu_time_millis_testing: 54900, usercpu_time_millis_training: 4516150,

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