OpenML
Supervised Classification on house_8L

Supervised Classification on house_8L

Task 3708 Supervised Classification house_8L 384 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: 0.8667, f_measure: 0.7615, kappa: 0.4019, kb_relative_information_score: 10523.5644, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.804, predictive_accuracy: 0.7924, prior_entropy: 0.8764, recall: 0.7924, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643313/Run_1847324_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
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,
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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8402, kappa: 0.617, kb_relative_information_score: 13375.1663, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8404, predictive_accuracy: 0.8401, prior_entropy: 0.8764, recall: 0.8401, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.749, kappa: 0.38, kb_relative_information_score: 8645.2218, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7472, predictive_accuracy: 0.7597, prior_entropy: 0.8764, recall: 0.7597, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.074, scimark_benchmark: 1959.6455, usercpu_time_millis: 209953.125, usercpu_time_millis_testing: 58375, usercpu_time_millis_training: 151578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5818, kappa: -0.0009, kb_relative_information_score: 5324.9661, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.5547, predictive_accuracy: 0.7032, prior_entropy: 0.8764, recall: 0.7032, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.1934, scimark_benchmark: 1959.6455, usercpu_time_millis: 32234.375, usercpu_time_millis_testing: 12109.375, usercpu_time_millis_training: 20125,
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: 1725328.125, usercpu_time_millis_testing: 8718.75, usercpu_time_millis_training: 1716609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8437, kappa: 0.6257, kb_relative_information_score: 10410.1517, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.844, predictive_accuracy: 0.8435, prior_entropy: 0.8764, recall: 0.8435, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.75, scimark_benchmark: 1383.2633, usercpu_time_millis: 78850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 78820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5818, kappa: -0.0009, kb_relative_information_score: 5324.9661, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.5547, predictive_accuracy: 0.7032, prior_entropy: 0.8764, recall: 0.7032, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.1934, scimark_benchmark: 1627.6969, usercpu_time_millis: 39360, usercpu_time_millis_testing: 16120, usercpu_time_millis_training: 23240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.749, kappa: 0.38, kb_relative_information_score: 8645.2218, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7472, predictive_accuracy: 0.7597, prior_entropy: 0.8764, recall: 0.7597, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.074, scimark_benchmark: 1614.9226, usercpu_time_millis: 328790, usercpu_time_millis_testing: 103620, usercpu_time_millis_training: 225170,
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: 1656.794, usercpu_time_millis: 1774570, usercpu_time_millis_testing: 7670, usercpu_time_millis_training: 1766900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8437, kappa: 0.6231, kb_relative_information_score: 11192.5445, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8431, predictive_accuracy: 0.8445, prior_entropy: 0.8764, recall: 0.8445, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7486, scimark_benchmark: 1908.2191, usercpu_time_millis: 57640.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 57609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.5311, kappa: 0.0462, kb_relative_information_score: -6001.5984, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6077, predictive_accuracy: 0.5107, prior_entropy: 0.8764, recall: 0.5107, relative_absolute_error: 1.1741, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.6995, root_relative_squared_error: 1.5324, scimark_benchmark: 1827.4462, usercpu_time_millis: 1361890.625, usercpu_time_millis_testing: 1593.75, usercpu_time_millis_training: 1360296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8614, kappa: 0.6676, kb_relative_information_score: 11702.5694, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8615, predictive_accuracy: 0.8613, prior_entropy: 0.8764, recall: 0.8613, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.7023, scimark_benchmark: 1666.0326, usercpu_time_millis: 18420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 18380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8433, kappa: 0.6218, kb_relative_information_score: 11156.886, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8426, predictive_accuracy: 0.8442, prior_entropy: 0.8764, recall: 0.8442, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7482, scimark_benchmark: 1760.5198, usercpu_time_millis: 5968.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5953.125,
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: 0.8461, f_measure: 0.8841, kappa: 0.7173, kb_relative_information_score: 16096.4334, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8846, predictive_accuracy: 0.8863, prior_entropy: 0.8764, recall: 0.8863, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7386, usercpu_time_millis: 5661.972, usercpu_time_millis_testing: 1444.649, usercpu_time_millis_training: 4217.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7615, kappa: 0.4019, kb_relative_information_score: 10523.5644, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.804, predictive_accuracy: 0.7924, prior_entropy: 0.8764, recall: 0.7924, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9115, scimark_benchmark: 1197.5913, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8406, kappa: 0.618, kb_relative_information_score: 10223.3117, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8408, predictive_accuracy: 0.8403, prior_entropy: 0.8764, recall: 0.8403, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7569, scimark_benchmark: 1302.8045, usercpu_time_millis: 8360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8473, kappa: 0.6216, kb_relative_information_score: 10564.3398, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8546, predictive_accuracy: 0.8549, prior_entropy: 0.8764, recall: 0.8549, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7263, scimark_benchmark: 1279.0882, usercpu_time_millis: 930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8149, kappa: 0.5514, kb_relative_information_score: 12015.9494, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8137, predictive_accuracy: 0.817, prior_entropy: 0.8764, recall: 0.817, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9371, scimark_benchmark: 1342.1441, usercpu_time_millis: 35590, usercpu_time_millis_testing: 35410, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8696, kappa: 0.6826, kb_relative_information_score: 13184.9532, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8694, predictive_accuracy: 0.8717, prior_entropy: 0.8764, recall: 0.8717, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6623, scimark_benchmark: 1262.4052, usercpu_time_millis: 6780, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 6730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.8337, kappa: 0.5851, kb_relative_information_score: 13721.1338, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8512, predictive_accuracy: 0.8459, prior_entropy: 0.8764, recall: 0.8459, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8598, scimark_benchmark: 1618.1738, usercpu_time_millis: 2703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.851, kappa: 0.6323, kb_relative_information_score: 14366.5957, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.855, predictive_accuracy: 0.8569, prior_entropy: 0.8764, recall: 0.8569, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8286, scimark_benchmark: 1618.1738, usercpu_time_millis: 1109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8739, kappa: 0.6922, kb_relative_information_score: 12659.4938, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8743, predictive_accuracy: 0.8764, prior_entropy: 0.8764, recall: 0.8764, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7035, scimark_benchmark: 1925.3565, usercpu_time_millis: 7765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8691, kappa: 0.682, kb_relative_information_score: 13370.8548, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8687, predictive_accuracy: 0.8709, prior_entropy: 0.8764, recall: 0.8709, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6869, scimark_benchmark: 1925.3565, usercpu_time_millis: 500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8891, kappa: 0.73, kb_relative_information_score: 14109.4931, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8895, predictive_accuracy: 0.8911, prior_entropy: 0.8764, recall: 0.8911, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.6165, scimark_benchmark: 1925.3565, usercpu_time_millis: 13609.375, usercpu_time_millis_testing: 1562.5, usercpu_time_millis_training: 12046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8455, kappa: 0.6237, kb_relative_information_score: 11242.9966, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8449, predictive_accuracy: 0.8482, prior_entropy: 0.8764, recall: 0.8482, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7475, scimark_benchmark: 1925.3565, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8703, kappa: 0.6849, kb_relative_information_score: 13601.6414, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.87, predictive_accuracy: 0.8723, prior_entropy: 0.8764, recall: 0.8723, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6962, scimark_benchmark: 1925.3565, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7615, kappa: 0.4019, kb_relative_information_score: 10523.5644, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.804, predictive_accuracy: 0.7924, prior_entropy: 0.8764, recall: 0.7924, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9115, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.8336, kappa: 0.5847, kb_relative_information_score: 13715.9701, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8512, predictive_accuracy: 0.8459, prior_entropy: 0.8764, recall: 0.8459, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8601, scimark_benchmark: 1925.3565, usercpu_time_millis: 2375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.851, kappa: 0.6323, kb_relative_information_score: 14366.5957, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.855, predictive_accuracy: 0.8569, prior_entropy: 0.8764, recall: 0.8569, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8286, scimark_benchmark: 1925.3565, usercpu_time_millis: 875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8406, kappa: 0.618, kb_relative_information_score: 10223.1173, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8408, predictive_accuracy: 0.8403, prior_entropy: 0.8764, recall: 0.8403, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7569, scimark_benchmark: 1925.3565, usercpu_time_millis: 5593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5578.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8149, kappa: 0.5514, kb_relative_information_score: 12015.9494, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8137, predictive_accuracy: 0.817, prior_entropy: 0.8764, recall: 0.817, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9371, scimark_benchmark: 1925.3565, usercpu_time_millis: 30843.75, usercpu_time_millis_testing: 30750, usercpu_time_millis_training: 93.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8704, kappa: 0.685, kb_relative_information_score: 13596.2148, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8701, predictive_accuracy: 0.8723, prior_entropy: 0.8764, recall: 0.8723, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6964, scimark_benchmark: 1806.5905, usercpu_time_millis: 436.8028, usercpu_time_millis_training: 436.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8786, kappa: 0.7043, kb_relative_information_score: 13658.5899, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8787, predictive_accuracy: 0.8807, prior_entropy: 0.8764, recall: 0.8807, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6432, scimark_benchmark: 1806.5905, usercpu_time_millis: 9952.8638, usercpu_time_millis_testing: 1544.4099, usercpu_time_millis_training: 8408.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8899, kappa: 0.7321, kb_relative_information_score: 14128.9071, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8902, predictive_accuracy: 0.8918, prior_entropy: 0.8764, recall: 0.8918, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6161, scimark_benchmark: 1806.5905, usercpu_time_millis: 12168.078, usercpu_time_millis_testing: 1809.6116, usercpu_time_millis_training: 10358.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.82, kappa: 0.5649, kb_relative_information_score: 12271.5365, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.819, predictive_accuracy: 0.8213, prior_entropy: 0.8764, recall: 0.8213, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9259, scimark_benchmark: 1806.5905, usercpu_time_millis: 35209.4257, usercpu_time_millis_testing: 34991.0243, usercpu_time_millis_training: 218.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8149, kappa: 0.5514, kb_relative_information_score: 12015.9494, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8137, predictive_accuracy: 0.817, prior_entropy: 0.8764, recall: 0.817, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9371, scimark_benchmark: 1806.5905, usercpu_time_millis: 42619.4732, usercpu_time_millis_testing: 42619.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7581, kappa: 0.3936, kb_relative_information_score: 10379.6923, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8093, predictive_accuracy: 0.7918, prior_entropy: 0.8764, recall: 0.7918, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8913, scimark_benchmark: 1877.5305, usercpu_time_millis: 156.001, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 124.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7615, kappa: 0.4019, kb_relative_information_score: 10523.5644, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.804, predictive_accuracy: 0.7924, prior_entropy: 0.8764, recall: 0.7924, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9115, scimark_benchmark: 1850.8887, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 46.8003,
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: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8897, kappa: 0.7322, kb_relative_information_score: 16385.6003, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8897, predictive_accuracy: 0.8912, prior_entropy: 0.8764, recall: 0.8912, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7224, usercpu_time_millis: 3519.53, usercpu_time_millis_testing: 556.465, usercpu_time_millis_training: 2963.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.6469, kappa: 0.128, kb_relative_information_score: 2895.4477, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6384, predictive_accuracy: 0.6619, prior_entropy: 0.8764, recall: 0.6619, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5815, root_relative_squared_error: 1.2737, usercpu_time_millis: 55.491, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 54.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8603, kappa: 0.6569, kb_relative_information_score: 14821.0008, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8623, predictive_accuracy: 0.8646, prior_entropy: 0.8764, recall: 0.8646, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.806, usercpu_time_millis: 6.204, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 6.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8722, kappa: 0.6852, kb_relative_information_score: 15533.5907, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8761, predictive_accuracy: 0.8768, prior_entropy: 0.8764, recall: 0.8768, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.769, usercpu_time_millis: 267.785, usercpu_time_millis_testing: 7.242, usercpu_time_millis_training: 260.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1352, kb_relative_information_score: -18629.414, mean_absolute_error: 0.704, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.0876, predictive_accuracy: 0.296, prior_entropy: 0.8764, recall: 0.296, relative_absolute_error: 1.6892, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.839, root_relative_squared_error: 1.838, usercpu_time_millis: 6.196, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.7893, kappa: 0.4763, kb_relative_information_score: 11116.0498, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7945, predictive_accuracy: 0.8017, prior_entropy: 0.8764, recall: 0.8017, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9756, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 3.815,
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: 5.643, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8518, kappa: 0.6367, kb_relative_information_score: 14309.795, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8528, predictive_accuracy: 0.856, prior_entropy: 0.8764, recall: 0.856, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.8314, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8605, kappa: 0.6562, kb_relative_information_score: 14898.4562, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8648, predictive_accuracy: 0.866, prior_entropy: 0.8764, recall: 0.866, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.802, usercpu_time_millis: 89.585, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 88.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.6124, kappa: 0.0575, kb_relative_information_score: 5849.0811, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7019, predictive_accuracy: 0.7121, prior_entropy: 0.8764, recall: 0.7121, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.1754, usercpu_time_millis: 129.439, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 128.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8899, kappa: 0.7324, kb_relative_information_score: 16403.6733, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.89, predictive_accuracy: 0.8915, prior_entropy: 0.8764, recall: 0.8915, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7214, usercpu_time_millis: 261.364, usercpu_time_millis_testing: 6.634, usercpu_time_millis_training: 254.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8386, kappa: 0.5974, kb_relative_information_score: 13974.1549, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.856, predictive_accuracy: 0.8502, prior_entropy: 0.8764, recall: 0.8502, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8477, usercpu_time_millis: 1675.886, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 1675.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8906, kappa: 0.7335, kb_relative_information_score: 16457.892, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8909, predictive_accuracy: 0.8925, prior_entropy: 0.8764, recall: 0.8925, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7184, usercpu_time_millis: 201.34, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 198.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7629, kappa: 0.4052, kb_relative_information_score: 10622.9169, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8049, predictive_accuracy: 0.7933, prior_entropy: 0.8764, recall: 0.7933, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.996, usercpu_time_millis: 2.168, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.8391, kappa: 0.5998, kb_relative_information_score: 13899.2813, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8507, predictive_accuracy: 0.849, prior_entropy: 0.8764, recall: 0.849, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.8513, usercpu_time_millis: 14.863, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 14.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7348, kappa: 0.3359, kb_relative_information_score: 9561.7777, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7896, predictive_accuracy: 0.7752, prior_entropy: 0.8764, recall: 0.7752, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0386, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 3.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.8324, kappa: 0.5837, kb_relative_information_score: 13496.5131, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8417, predictive_accuracy: 0.8421, prior_entropy: 0.8764, recall: 0.8421, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8704, usercpu_time_millis: 507.405, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 507.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8704, kappa: 0.6831, kb_relative_information_score: 15334.7884, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8711, predictive_accuracy: 0.8734, prior_entropy: 0.8764, recall: 0.8734, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7795, usercpu_time_millis: 19.204, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 18.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.7247, kappa: 0.3133, kb_relative_information_score: 9453.3401, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8065, predictive_accuracy: 0.7734, prior_entropy: 0.8764, recall: 0.7734, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0428, usercpu_time_millis: 15.43, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 15.378,

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