OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9445, kappa: 0.8624, kb_relative_information_score: 24276.8859, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794, scimark_benchmark: 1268.3103, usercpu_time_millis: 674.386, usercpu_time_millis_testing: 30.78, usercpu_time_millis_training: 643.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29183.5934, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364, scimark_benchmark: 1243.6791, usercpu_time_millis: 1394.24, usercpu_time_millis_testing: 30.817, usercpu_time_millis_training: 1363.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29180.2528, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606, scimark_benchmark: 1274.1148, usercpu_time_millis: 3087.984, usercpu_time_millis_testing: 77.105, usercpu_time_millis_training: 3010.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9481, kappa: 0.8722, kb_relative_information_score: 26669.699, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4435, scimark_benchmark: 1269.878, usercpu_time_millis: 3947.237, usercpu_time_millis_testing: 85.858, usercpu_time_millis_training: 3861.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9337, kappa: 0.8351, kb_relative_information_score: 24367.2982, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4956, scimark_benchmark: 1239.8378, usercpu_time_millis: 516.927, usercpu_time_millis_testing: 24.015, usercpu_time_millis_training: 492.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9445, kappa: 0.8625, kb_relative_information_score: 23593.9886, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4918, scimark_benchmark: 1251.3148, usercpu_time_millis: 1628.675, usercpu_time_millis_testing: 75.674, usercpu_time_millis_training: 1553.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9434, kappa: 0.8607, kb_relative_information_score: 26379.0188, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4585, scimark_benchmark: 1238.1238, usercpu_time_millis: 3387.792, usercpu_time_millis_testing: 50.316, usercpu_time_millis_training: 3337.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9303, kappa: 0.8251, kb_relative_information_score: 19156.3914, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5813, scimark_benchmark: 1237.9064, usercpu_time_millis: 446.529, usercpu_time_millis_testing: 32.992, usercpu_time_millis_training: 413.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28143.7895, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3926, scimark_benchmark: 1269.5769, usercpu_time_millis: 1871.471, usercpu_time_millis_testing: 91.18, usercpu_time_millis_training: 1780.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28693.7457, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1248.5269, usercpu_time_millis: 2075.918, usercpu_time_millis_testing: 69.725, usercpu_time_millis_training: 2006.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 28995.5684, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3683, scimark_benchmark: 1264.8135, usercpu_time_millis: 2140.439, usercpu_time_millis_testing: 42.27, usercpu_time_millis_training: 2098.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9475, kappa: 0.8698, kb_relative_information_score: 23515.4015, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4881, scimark_benchmark: 1275.3247, usercpu_time_millis: 1060.213, usercpu_time_millis_testing: 54.369, usercpu_time_millis_training: 1005.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9512, kappa: 0.8798, kb_relative_information_score: 26983.766, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4316, scimark_benchmark: 1267.2231, usercpu_time_millis: 636.533, usercpu_time_millis_testing: 29.692, usercpu_time_millis_training: 606.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 27868.9018, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1257.6971, usercpu_time_millis: 756.481, usercpu_time_millis_testing: 16.802, usercpu_time_millis_training: 739.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9599, kappa: 0.9014, kb_relative_information_score: 28438.6205, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3919, scimark_benchmark: 1239.6646, usercpu_time_millis: 3080.96, usercpu_time_millis_testing: 56.939, usercpu_time_millis_training: 3024.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9597, kappa: 0.9006, kb_relative_information_score: 27009.9961, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4061, scimark_benchmark: 1243.9738, usercpu_time_millis: 555.914, usercpu_time_millis_testing: 35.032, usercpu_time_millis_training: 520.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9282, kappa: 0.8197, kb_relative_information_score: 19116.3178, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5831, scimark_benchmark: 1255.7588, usercpu_time_millis: 459.49, usercpu_time_millis_testing: 29.88, usercpu_time_millis_training: 429.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29797.0038, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1267.7957, usercpu_time_millis: 195.885, usercpu_time_millis_testing: 5.762, usercpu_time_millis_training: 190.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9601, kappa: 0.9016, kb_relative_information_score: 27032.8907, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4055, scimark_benchmark: 1271.0043, usercpu_time_millis: 1506.349, usercpu_time_millis_testing: 98.809, usercpu_time_millis_training: 1407.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9553, kappa: 0.8899, kb_relative_information_score: 27036.8102, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197, scimark_benchmark: 1256.6612, usercpu_time_millis: 723.786, usercpu_time_millis_testing: 33.359, usercpu_time_millis_training: 690.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28429.891, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3901, scimark_benchmark: 1242.7412, usercpu_time_millis: 1877.413, usercpu_time_millis_testing: 45.068, usercpu_time_millis_training: 1832.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9436, kappa: 0.8599, kb_relative_information_score: 22736.2785, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5077, scimark_benchmark: 1242.9428, usercpu_time_millis: 137.841, usercpu_time_millis_testing: 10.429, usercpu_time_millis_training: 127.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 28390.4491, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3926, scimark_benchmark: 1250.3894, usercpu_time_millis: 3804.537, usercpu_time_millis_testing: 75.651, usercpu_time_millis_training: 3728.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9269, kappa: 0.8173, kb_relative_information_score: 18558.2561, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5996, scimark_benchmark: 1236.0122, usercpu_time_millis: 242.661, usercpu_time_millis_testing: 20.033, usercpu_time_millis_training: 222.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9239, kappa: 0.8096, kb_relative_information_score: 24326.249, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5066, scimark_benchmark: 1232.7017, usercpu_time_millis: 4844.358, usercpu_time_millis_testing: 66.563, usercpu_time_millis_training: 4777.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9569, kappa: 0.894, kb_relative_information_score: 27594.0362, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, scimark_benchmark: 1236.1886, usercpu_time_millis: 2110.567, usercpu_time_millis_testing: 74.204, usercpu_time_millis_training: 2036.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9516, kappa: 0.881, kb_relative_information_score: 26987.924, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, scimark_benchmark: 1243.0403, usercpu_time_millis: 1894.232, usercpu_time_millis_testing: 88.9, usercpu_time_millis_training: 1805.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9369, kappa: 0.8432, kb_relative_information_score: 22266.3574, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5233, scimark_benchmark: 1266.4571, usercpu_time_millis: 626.438, usercpu_time_millis_testing: 40.902, usercpu_time_millis_training: 585.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9535, kappa: 0.8861, kb_relative_information_score: 27548.4001, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, scimark_benchmark: 1250.2174, usercpu_time_millis: 8713.367, usercpu_time_millis_testing: 66.133, usercpu_time_millis_training: 8647.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9571, kappa: 0.8944, kb_relative_information_score: 27713.9052, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4084, scimark_benchmark: 1242.1029, usercpu_time_millis: 1495.209, usercpu_time_millis_testing: 62.521, usercpu_time_millis_training: 1432.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9576, kappa: 0.8952, kb_relative_information_score: 25718.8542, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4297, scimark_benchmark: 1245.048, usercpu_time_millis: 1102.924, usercpu_time_millis_testing: 78.649, usercpu_time_millis_training: 1024.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29218.8636, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1272.5469, usercpu_time_millis: 1588.792, usercpu_time_millis_testing: 57.06, usercpu_time_millis_training: 1531.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9635, kappa: 0.9102, kb_relative_information_score: 28567.321, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1253.4208, usercpu_time_millis: 2328.469, usercpu_time_millis_testing: 92.195, usercpu_time_millis_training: 2236.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9577, kappa: 0.8955, kb_relative_information_score: 25844.88, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1254.2826, usercpu_time_millis: 1365.568, usercpu_time_millis_testing: 76.052, usercpu_time_millis_training: 1289.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 19225.783, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5871, scimark_benchmark: 1257.6088, usercpu_time_millis: 41.289, usercpu_time_millis_testing: 3.767, usercpu_time_millis_training: 37.522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28790.3525, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3844, scimark_benchmark: 1299.5343, usercpu_time_millis: 4173.748, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4143.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9636, kappa: 0.9106, kb_relative_information_score: 28999.9918, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1268.8175, usercpu_time_millis: 6421.937, usercpu_time_millis_testing: 75.003, usercpu_time_millis_training: 6346.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28964.4221, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3777, scimark_benchmark: 1282.1816, usercpu_time_millis: 9813.738, usercpu_time_millis_testing: 73.895, usercpu_time_millis_training: 9739.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 29087.8449, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.407, scimark_benchmark: 1303.2727, usercpu_time_millis: 1317.13, usercpu_time_millis_testing: 3.955, usercpu_time_millis_training: 1313.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29347.8884, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3564, scimark_benchmark: 1267.985, usercpu_time_millis: 368.042, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 357.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9447, kappa: 0.8641, kb_relative_information_score: 27490.4352, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4429, scimark_benchmark: 1260.236, usercpu_time_millis: 13106.088, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 13105.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.934, kappa: 0.8376, kb_relative_information_score: 24610.5943, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1269.381, usercpu_time_millis: 3218.817, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 3217.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.956, kappa: 0.8911, kb_relative_information_score: 25344.2562, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397, scimark_benchmark: 1303.9208, usercpu_time_millis: 1243.179, usercpu_time_millis_testing: 82.961, usercpu_time_millis_training: 1160.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9476, kappa: 0.8713, kb_relative_information_score: 28011.8465, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334, scimark_benchmark: 1296.2265, usercpu_time_millis: 9622.75, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 9621.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9476, kappa: 0.8711, kb_relative_information_score: 27180.6119, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4356, scimark_benchmark: 1292.3413, usercpu_time_millis: 10750.378, usercpu_time_millis_testing: 47.767, usercpu_time_millis_training: 10702.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9445, kappa: 0.8627, kb_relative_information_score: 25999.8764, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4551, scimark_benchmark: 1271.359, usercpu_time_millis: 2026.058, usercpu_time_millis_testing: 3.66, usercpu_time_millis_training: 2022.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29755.663, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1273.7014, usercpu_time_millis: 704.12, usercpu_time_millis_testing: 7.058, usercpu_time_millis_training: 697.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.965, kappa: 0.9142, kb_relative_information_score: 29055.5481, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3666, scimark_benchmark: 1303.7694, usercpu_time_millis: 3635.367, usercpu_time_millis_testing: 89.906, usercpu_time_millis_training: 3545.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 29940.7527, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671, scimark_benchmark: 1304.1236, usercpu_time_millis: 6884.711, usercpu_time_millis_testing: 19.184, usercpu_time_millis_training: 6865.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9496, kappa: 0.8763, kb_relative_information_score: 27343.1836, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303, scimark_benchmark: 1287.0374, usercpu_time_millis: 3253.153, usercpu_time_millis_testing: 12.633, usercpu_time_millis_training: 3240.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29768.0512, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3495, scimark_benchmark: 1291.4881, usercpu_time_millis: 2272.206, usercpu_time_millis_testing: 20.425, usercpu_time_millis_training: 2251.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28617.3343, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1285.8057, usercpu_time_millis: 1114.367, usercpu_time_millis_testing: 16.742, usercpu_time_millis_training: 1097.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9579, kappa: 0.8965, kb_relative_information_score: 28219.363, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1279.2664, usercpu_time_millis: 4794.673, usercpu_time_millis_testing: 85.362, usercpu_time_millis_training: 4709.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29241.5613, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3706, scimark_benchmark: 1301.3083, usercpu_time_millis: 14584.35, usercpu_time_millis_testing: 59.179, usercpu_time_millis_training: 14525.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9266, kappa: 0.8184, kb_relative_information_score: 23816.4104, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9267, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5171, scimark_benchmark: 1300.1919, usercpu_time_millis: 15684.712, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 15683.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29869.7504, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3468, scimark_benchmark: 1274.7042, usercpu_time_millis: 3725.608, usercpu_time_millis_testing: 29.693, usercpu_time_millis_training: 3695.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9394, kappa: 0.8511, kb_relative_information_score: 26751.7428, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4651, scimark_benchmark: 1285.8154, usercpu_time_millis: 7443.965, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 7443.152,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.829, kappa: 0.5605, kb_relative_information_score: 3175.2859, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8636, predictive_accuracy: 0.8468, prior_entropy: 0.863, recall: 0.8468, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8629, scimark_benchmark: 1269.7077, usercpu_time_millis: 900.914, usercpu_time_millis_testing: 4.531, usercpu_time_millis_training: 896.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9276, kappa: 0.8187, kb_relative_information_score: 19624.5876, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.573, scimark_benchmark: 1284.0475, usercpu_time_millis: 8434.225, usercpu_time_millis_testing: 54.648, usercpu_time_millis_training: 8379.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9452, kappa: 0.8656, kb_relative_information_score: 27720.2219, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4409, scimark_benchmark: 1282.4156, usercpu_time_millis: 7136.832, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 7135.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9277, kappa: 0.8186, kb_relative_information_score: 19068.0966, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.584, scimark_benchmark: 1261.542, usercpu_time_millis: 1193.838, usercpu_time_millis_testing: 85.54, usercpu_time_millis_training: 1108.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9583, kappa: 0.8972, kb_relative_information_score: 26997.1701, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1273.9689, usercpu_time_millis: 83.796, usercpu_time_millis_testing: 6.203, usercpu_time_millis_training: 77.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 28686.414, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675, scimark_benchmark: 1275.1332, usercpu_time_millis: 573.707, usercpu_time_millis_testing: 21.724, usercpu_time_millis_training: 551.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9243, kappa: 0.8106, kb_relative_information_score: 24493.2555, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9263, prior_entropy: 0.863, recall: 0.9263, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5054, scimark_benchmark: 1249.6902, usercpu_time_millis: 6116.782, usercpu_time_millis_testing: 70.139, usercpu_time_millis_training: 6046.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9587, kappa: 0.8981, kb_relative_information_score: 26806.4627, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123, scimark_benchmark: 1272.782, usercpu_time_millis: 305.623, usercpu_time_millis_testing: 18.381, usercpu_time_millis_training: 287.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9546, kappa: 0.8879, kb_relative_information_score: 26643.0868, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4252, scimark_benchmark: 1268.542, usercpu_time_millis: 329.642, usercpu_time_millis_testing: 16.827, usercpu_time_millis_training: 312.815,

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

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