OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6378, kappa: 0.2762, kb_relative_information_score: 168.9508, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6385, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9575, scimark_benchmark: 1852.4008, usercpu_time_millis: 25.651, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 24.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.661, kappa: 0.3223, kb_relative_information_score: 273.1635, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6615, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9377, scimark_benchmark: 1848.8886, usercpu_time_millis: 4.899, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 4.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1856.5802, usercpu_time_millis: 2.417, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.6434, kappa: 0.2877, kb_relative_information_score: 173.7699, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6445, predictive_accuracy: 0.6438, prior_entropy: 1, recall: 0.6438, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9566, scimark_benchmark: 1834.1796, usercpu_time_millis: 28.526, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 27.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7071, kappa: 0.4154, kb_relative_information_score: 278.6825, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7095, predictive_accuracy: 0.7077, prior_entropy: 1, recall: 0.7077, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9284, scimark_benchmark: 1846.7639, usercpu_time_millis: 115.831, usercpu_time_millis_testing: 3.164, usercpu_time_millis_training: 112.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7003, kappa: 0.4031, kb_relative_information_score: 284.6481, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.705, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9271, scimark_benchmark: 1856.0551, usercpu_time_millis: 125.142, usercpu_time_millis_testing: 2.588, usercpu_time_millis_training: 122.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6465, kappa: 0.2938, kb_relative_information_score: 193.545, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6477, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9519, scimark_benchmark: 1840.1791, usercpu_time_millis: 37.276, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 36.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7139, kappa: 0.43, kb_relative_information_score: 317.2526, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7183, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9193, scimark_benchmark: 1766.3517, usercpu_time_millis: 36.599, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 35.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.814, kappa: 0.6285, kb_relative_information_score: 802.5286, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8156, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.396, root_relative_squared_error: 0.792, scimark_benchmark: 1747.5598, usercpu_time_millis: 75.292, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 74.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.682, kappa: 0.3654, kb_relative_information_score: 228.0195, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6844, predictive_accuracy: 0.6827, prior_entropy: 1, recall: 0.6827, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9416, scimark_benchmark: 1734.7759, usercpu_time_millis: 77.244, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 75.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7029, kappa: 0.4069, kb_relative_information_score: 266.7129, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7051, predictive_accuracy: 0.7035, prior_entropy: 1, recall: 0.7035, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9316, scimark_benchmark: 1857.0384, usercpu_time_millis: 79.445, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 76.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7015, kappa: 0.4054, kb_relative_information_score: 291.8314, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.706, predictive_accuracy: 0.7027, prior_entropy: 1, recall: 0.7027, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9253, scimark_benchmark: 1943.8067, usercpu_time_millis: 53.028, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 51.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6678, kappa: 0.3369, kb_relative_information_score: 193.1448, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6697, predictive_accuracy: 0.6685, prior_entropy: 1, recall: 0.6685, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, scimark_benchmark: 1847.3406, usercpu_time_millis: 111.998, usercpu_time_millis_testing: 3.049, usercpu_time_millis_training: 108.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7134, kappa: 0.4292, kb_relative_information_score: 301.5674, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7183, predictive_accuracy: 0.7146, prior_entropy: 1, recall: 0.7146, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226, scimark_benchmark: 1855.4812, usercpu_time_millis: 150.799, usercpu_time_millis_testing: 2.983, usercpu_time_millis_training: 147.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6513, kappa: 0.3123, kb_relative_information_score: 312.9708, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6653, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9366, scimark_benchmark: 1849.5386, usercpu_time_millis: 20.635, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 20.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6076, kappa: 0.2154, kb_relative_information_score: 160.9749, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6078, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9675, scimark_benchmark: 1842.8383, usercpu_time_millis: 49.92, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 49.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.746, kappa: 0.4954, kb_relative_information_score: 523.5186, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7543, predictive_accuracy: 0.7477, prior_entropy: 1, recall: 0.7477, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8697, scimark_benchmark: 1825.8301, usercpu_time_millis: 89.856, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 88.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1032.6115, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7393, scimark_benchmark: 1716.4256, usercpu_time_millis: 890.489, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 888.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8126, kappa: 0.6254, kb_relative_information_score: 880.8985, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8135, predictive_accuracy: 0.8127, prior_entropy: 1, recall: 0.8127, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7821, scimark_benchmark: 1815.45, usercpu_time_millis: 934.355, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 932.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.6615, kappa: 0.3262, kb_relative_information_score: 310.4407, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6663, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9315, scimark_benchmark: 1855.6669, usercpu_time_millis: 33.552, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 32.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.6102, kappa: 0.2208, kb_relative_information_score: 186.9625, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6106, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618, scimark_benchmark: 1068.7136, usercpu_time_millis: 75.126, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 73.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8504, kappa: 0.7008, kb_relative_information_score: 1379.7957, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8504, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713, scimark_benchmark: 1851.3688, usercpu_time_millis: 293.289, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 292.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7169, kappa: 0.4346, kb_relative_information_score: 637.6393, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7185, predictive_accuracy: 0.7173, prior_entropy: 1, recall: 0.7173, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8636, scimark_benchmark: 1795.5269, usercpu_time_millis: 390.896, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 389.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8114, kappa: 0.6231, kb_relative_information_score: 790.7715, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8128, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7991, scimark_benchmark: 1842.3903, usercpu_time_millis: 465.392, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 463.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7842, kappa: 0.5692, kb_relative_information_score: 739.1182, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7868, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8183, scimark_benchmark: 1820.3666, usercpu_time_millis: 689.831, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 688.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7772, kappa: 0.5546, kb_relative_information_score: 962.6235, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7852, scimark_benchmark: 1810.9239, usercpu_time_millis: 810.636, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 809.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1813.3585, usercpu_time_millis: 6.931, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 5.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7345, kappa: 0.4715, kb_relative_information_score: 504.014, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7405, predictive_accuracy: 0.7358, prior_entropy: 1, recall: 0.7358, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 1851.0335, usercpu_time_millis: 38, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 37.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7704, kappa: 0.5415, kb_relative_information_score: 707.8251, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7727, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8311, scimark_benchmark: 1895.5565, usercpu_time_millis: 49.96, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 49.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7307, kappa: 0.4646, kb_relative_information_score: 440.4918, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7378, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8903, scimark_benchmark: 1798.9979, usercpu_time_millis: 150.319, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 148.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7497, kappa: 0.5023, kb_relative_information_score: 612.7197, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7571, predictive_accuracy: 0.7512, prior_entropy: 1, recall: 0.7512, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8518, scimark_benchmark: 1833.265, usercpu_time_millis: 248.941, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 247.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 1142.8811, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8288, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7287, scimark_benchmark: 1852.0126, usercpu_time_millis: 1422.321, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 1420.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1846.3057, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 3.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8585, kappa: 0.7169, kb_relative_information_score: 1303.2488, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8585, predictive_accuracy: 0.8585, prior_entropy: 1, recall: 0.8585, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6748, scimark_benchmark: 1067.7539, usercpu_time_millis: 694.892, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 693.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6317, kappa: 0.2638, kb_relative_information_score: 95.5641, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6322, predictive_accuracy: 0.6319, prior_entropy: 1, recall: 0.6319, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976, scimark_benchmark: 1763.5644, usercpu_time_millis: 14.213, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 13.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.623, kappa: 0.2462, kb_relative_information_score: 86.3327, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6232, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9783, scimark_benchmark: 1772.2675, usercpu_time_millis: 18.554, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 17.495,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7509, kappa: 0.5046, kb_relative_information_score: 540.6339, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7582, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8642, scimark_benchmark: 1845.8518, usercpu_time_millis: 129.383, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 128.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7772, kappa: 0.5546, kb_relative_information_score: 775.391, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.815, scimark_benchmark: 1850.8706, usercpu_time_millis: 340.984, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 339.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.603, kappa: 0.2062, kb_relative_information_score: 63.3205, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6032, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9839, scimark_benchmark: 1859.1356, usercpu_time_millis: 5.952, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 5.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.6168, kappa: 0.2338, kb_relative_information_score: 211.5399, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9607, scimark_benchmark: 1850.2875, usercpu_time_millis: 54.165, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 53.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 183.635, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6149, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.968, scimark_benchmark: 1785.8988, usercpu_time_millis: 39.869, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 39.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.6273, kappa: 0.2577, kb_relative_information_score: 281.4547, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6311, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9407, scimark_benchmark: 1731.6389, usercpu_time_millis: 50.636, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 50.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8001, kappa: 0.6008, kb_relative_information_score: 750.441, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8022, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8103, scimark_benchmark: 1833.7788, usercpu_time_millis: 53.635, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 53.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7479, kappa: 0.4985, kb_relative_information_score: 573.267, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7544, predictive_accuracy: 0.7492, prior_entropy: 1, recall: 0.7492, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8581, scimark_benchmark: 1775.4331, usercpu_time_millis: 151.582, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 150.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 1000.6922, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8384, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7415, scimark_benchmark: 1857.6392, usercpu_time_millis: 286.953, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 285.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7159, kappa: 0.4369, kb_relative_information_score: 464.8016, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7267, predictive_accuracy: 0.7185, prior_entropy: 1, recall: 0.7185, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8933, scimark_benchmark: 1779.659, usercpu_time_millis: 454.205, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 452.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 945.4744, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8263, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7635, scimark_benchmark: 1727.2167, usercpu_time_millis: 819.007, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 817.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1061.8695, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8429, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7273, scimark_benchmark: 1837.345, usercpu_time_millis: 1042.161, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 1040.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8057, kappa: 0.6115, kb_relative_information_score: 869.8416, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8062, predictive_accuracy: 0.8058, prior_entropy: 1, recall: 0.8058, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.787, scimark_benchmark: 1845.7835, usercpu_time_millis: 431.226, usercpu_time_millis_testing: 1.582, usercpu_time_millis_training: 429.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 1003.0117, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8422, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418, scimark_benchmark: 1726.6494, usercpu_time_millis: 1193.862, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 1191.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1286.6835, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8532, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6797, scimark_benchmark: 1840.8272, usercpu_time_millis: 1797.729, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 1795.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1366.6912, usercpu_time_millis: 3.834, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 3.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8554, kappa: 0.7108, kb_relative_information_score: 1241.516, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 1, recall: 0.8554, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6855, scimark_benchmark: 1366.1335, usercpu_time_millis: 432.642, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 431.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8504, kappa: 0.7008, kb_relative_information_score: 1126.2242, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8507, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7112, scimark_benchmark: 1369.9136, usercpu_time_millis: 657.436, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 656.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7426, kappa: 0.4862, kb_relative_information_score: 687.4133, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7448, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8399, scimark_benchmark: 1369.9496, usercpu_time_millis: 116.009, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 115.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1369.7561, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6115, kappa: 0.2231, kb_relative_information_score: 177.5656, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6116, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1369.5171, usercpu_time_millis: 10.407, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 9.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7124, kappa: 0.43, kb_relative_information_score: 443.6854, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7231, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8981, scimark_benchmark: 1365.4541, usercpu_time_millis: 519.89, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 518.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.716, kappa: 0.4354, kb_relative_information_score: 390.9611, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.723, predictive_accuracy: 0.7177, prior_entropy: 1, recall: 0.7177, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9021, scimark_benchmark: 1364.5436, usercpu_time_millis: 145.824, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 143.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8044, kappa: 0.6092, kb_relative_information_score: 812.8262, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8059, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7968, scimark_benchmark: 1368.6259, usercpu_time_millis: 922.66, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 920.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1239.0429, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 1365.202, usercpu_time_millis: 1007.957, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 1006.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7098, kappa: 0.4246, kb_relative_information_score: 454.593, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7199, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8967, scimark_benchmark: 1360.0472, usercpu_time_millis: 127.191, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 126.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 1224.2982, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.68, scimark_benchmark: 1365.6908, usercpu_time_millis: 1435.22, usercpu_time_millis_testing: 3.205, usercpu_time_millis_training: 1432.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7551, kappa: 0.5131, kb_relative_information_score: 508.2209, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7628, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8693, scimark_benchmark: 1363.8994, usercpu_time_millis: 120.534, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 119.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7135, kappa: 0.4308, kb_relative_information_score: 430.6724, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7213, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8961, scimark_benchmark: 1367.1759, usercpu_time_millis: 35.481, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 34.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1368.0198, usercpu_time_millis: 3.516, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 2.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8168, kappa: 0.6338, kb_relative_information_score: 923.0682, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8176, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7735, scimark_benchmark: 1372.0725, usercpu_time_millis: 1934.531, usercpu_time_millis_testing: 2.346, usercpu_time_millis_training: 1932.185,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs