OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31592 Runs

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0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9477, kappa: 0.8717, kb_relative_information_score: 28124.0649, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4333, scimark_benchmark: 1308.3519, usercpu_time_millis: 8982.19, usercpu_time_millis_testing: 85.446, usercpu_time_millis_training: 8896.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9498, kappa: 0.8768, kb_relative_information_score: 28346.8078, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4255, scimark_benchmark: 1322.2331, usercpu_time_millis: 9845.792, usercpu_time_millis_testing: 63.95, usercpu_time_millis_training: 9781.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9427, kappa: 0.8585, kb_relative_information_score: 27542.142, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4561, scimark_benchmark: 1334.7284, usercpu_time_millis: 14067.936, usercpu_time_millis_testing: 138.866, usercpu_time_millis_training: 13929.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9471, kappa: 0.8702, kb_relative_information_score: 27944.0465, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4405, scimark_benchmark: 1286.2489, usercpu_time_millis: 11262.445, usercpu_time_millis_testing: 116.082, usercpu_time_millis_training: 11146.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9373, kappa: 0.8459, kb_relative_information_score: 26861.7899, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4781, scimark_benchmark: 1294.6496, usercpu_time_millis: 16985.445, usercpu_time_millis_testing: 174.531, usercpu_time_millis_training: 16810.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9437, kappa: 0.8605, kb_relative_information_score: 27632.6564, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451, scimark_benchmark: 1306.1365, usercpu_time_millis: 15062.729, usercpu_time_millis_testing: 123.262, usercpu_time_millis_training: 14939.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9449, kappa: 0.8649, kb_relative_information_score: 27689.708, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4472, scimark_benchmark: 1257.0289, usercpu_time_millis: 10961.379, usercpu_time_millis_testing: 111.448, usercpu_time_millis_training: 10849.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9406, kappa: 0.8541, kb_relative_information_score: 27168.9049, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4643, scimark_benchmark: 1271.6801, usercpu_time_millis: 12200.047, usercpu_time_millis_testing: 117.168, usercpu_time_millis_training: 12082.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9501, kappa: 0.8777, kb_relative_information_score: 28345.7198, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1293.6652, usercpu_time_millis: 16360.792, usercpu_time_millis_testing: 69.072, usercpu_time_millis_training: 16291.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9603, kappa: 0.9025, kb_relative_information_score: 29522.8558, mean_absolute_error: 0.0609, 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: 0.1492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3857, scimark_benchmark: 1316.9719, usercpu_time_millis: 11389.734, usercpu_time_millis_testing: 71.655, usercpu_time_millis_training: 11318.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9333, kappa: 0.8343, kb_relative_information_score: 26317.1837, mean_absolute_error: 0.1014, 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: 0.2485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1288.2691, usercpu_time_millis: 16630.908, usercpu_time_millis_testing: 159.756, usercpu_time_millis_training: 16471.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9479, kappa: 0.8722, kb_relative_information_score: 28055.5044, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365, scimark_benchmark: 1313.1479, usercpu_time_millis: 12027.567, usercpu_time_millis_testing: 121.922, usercpu_time_millis_training: 11905.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9476, kappa: 0.8714, kb_relative_information_score: 28130.4396, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331, scimark_benchmark: 1260.9655, usercpu_time_millis: 9478.061, usercpu_time_millis_testing: 83.533, usercpu_time_millis_training: 9394.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 29707.5962, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1316.8886, usercpu_time_millis: 11804.254, usercpu_time_millis_testing: 62.679, usercpu_time_millis_training: 11741.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9308, kappa: 0.83, kb_relative_information_score: 26124.0438, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4995, scimark_benchmark: 1321.5322, usercpu_time_millis: 16186.418, usercpu_time_millis_testing: 158.596, usercpu_time_millis_training: 16027.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9479, kappa: 0.8722, kb_relative_information_score: 28190.2427, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.431, scimark_benchmark: 1302.41, usercpu_time_millis: 8738.026, usercpu_time_millis_testing: 75.712, usercpu_time_millis_training: 8662.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 29720.2216, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 1328.3895, usercpu_time_millis: 8727.482, usercpu_time_millis_testing: 61.231, usercpu_time_millis_training: 8666.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9481, kappa: 0.8727, kb_relative_information_score: 28283.8146, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4278, scimark_benchmark: 1325.104, usercpu_time_millis: 8615.645, usercpu_time_millis_testing: 69.868, usercpu_time_millis_training: 8545.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9566, kappa: 0.893, kb_relative_information_score: 27060.6368, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4134, scimark_benchmark: 1742.319, usercpu_time_millis: 175.502, usercpu_time_millis_testing: 6.576, usercpu_time_millis_training: 168.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.2651, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.916, usercpu_time_millis: 55.725, usercpu_time_millis_testing: 3.893, usercpu_time_millis_training: 51.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8584, kappa: 0.6515, kb_relative_information_score: 14837.0143, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8591, prior_entropy: 0.863, recall: 0.8591, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.7219, scimark_benchmark: 1805.7878, usercpu_time_millis: 148.043, usercpu_time_millis_testing: 8.653, usercpu_time_millis_training: 139.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9556, kappa: 0.8903, kb_relative_information_score: 26387.598, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4249, scimark_benchmark: 1805.187, usercpu_time_millis: 150.881, usercpu_time_millis_testing: 9.752, usercpu_time_millis_training: 141.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8653, kappa: 0.6696, kb_relative_information_score: 16194.5874, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8652, predictive_accuracy: 0.8654, prior_entropy: 0.863, recall: 0.8654, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1838.236, usercpu_time_millis: 151.484, usercpu_time_millis_testing: 6.366, usercpu_time_millis_training: 145.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8645, kappa: 0.6672, kb_relative_information_score: 15793.4905, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8642, predictive_accuracy: 0.8647, prior_entropy: 0.863, recall: 0.8647, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6882, scimark_benchmark: 1850.9434, usercpu_time_millis: 165.077, usercpu_time_millis_testing: 7.458, usercpu_time_millis_training: 157.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8598, kappa: 0.6557, kb_relative_information_score: 15580.1174, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8595, predictive_accuracy: 0.8602, prior_entropy: 0.863, recall: 0.8602, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7126, scimark_benchmark: 1837.1955, usercpu_time_millis: 200.38, usercpu_time_millis_testing: 9.39, usercpu_time_millis_training: 190.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 27347.2315, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1738.6549, usercpu_time_millis: 17.295, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 16.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8556, kappa: 0.6504, kb_relative_information_score: 15471.333, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8541, prior_entropy: 0.863, recall: 0.8541, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7464, scimark_benchmark: 1848.7762, usercpu_time_millis: 26.37, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 25.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.6423, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.4951, usercpu_time_millis: 24.954, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 23.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.2559, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 12.863, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 12.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6984, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 35.759, usercpu_time_millis_testing: 4.003, usercpu_time_millis_training: 31.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.8012, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.9434, usercpu_time_millis: 24.308, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 22.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.1522, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1741.8495, usercpu_time_millis: 47.365, usercpu_time_millis_testing: 4.737, usercpu_time_millis_training: 42.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.424, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1842.2127, usercpu_time_millis: 27.055, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 25.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9523, kappa: 0.8829, kb_relative_information_score: 28038.5251, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425, scimark_benchmark: 1849.9051, usercpu_time_millis: 12.831, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 12.453,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9178, kappa: 0.7935, kb_relative_information_score: 21982.9128, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5441, scimark_benchmark: 1848.5009, usercpu_time_millis: 41.606, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 40.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.3138, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.6845, usercpu_time_millis: 36.812, usercpu_time_millis_testing: 3.88, usercpu_time_millis_training: 32.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9239, kappa: 0.8086, kb_relative_information_score: 18600.1897, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5954, scimark_benchmark: 1843.2259, usercpu_time_millis: 42.015, usercpu_time_millis_testing: 2.978, usercpu_time_millis_training: 39.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.5185, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1845.264, usercpu_time_millis: 25.147, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 23.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -12.4198, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 26.367, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 23.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9418, kappa: 0.8566, kb_relative_information_score: 26420.48, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 1844.7474, usercpu_time_millis: 29.305, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 28.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.0058, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.568, usercpu_time_millis: 52.605, usercpu_time_millis_testing: 5.538, usercpu_time_millis_training: 47.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.1017, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.9533, usercpu_time_millis: 19.098, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 16.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.8306, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1842.3843, usercpu_time_millis: 27.026, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 24.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.7506, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1836.152, usercpu_time_millis: 40.524, usercpu_time_millis_testing: 2.778, usercpu_time_millis_training: 37.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9399, kappa: 0.8509, kb_relative_information_score: 24661.4713, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4801, scimark_benchmark: 1853.9121, usercpu_time_millis: 51.867, usercpu_time_millis_testing: 1.843, usercpu_time_millis_training: 50.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9527, kappa: 0.8828, kb_relative_information_score: 24771.9341, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4564, scimark_benchmark: 1818.0874, usercpu_time_millis: 61.864, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 58.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29500.6299, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1850.2875, usercpu_time_millis: 52.332, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 51.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.5131, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 48.773, usercpu_time_millis_testing: 6.424, usercpu_time_millis_training: 42.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8772, kappa: 0.6892, kb_relative_information_score: 12727.0258, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8849, predictive_accuracy: 0.8832, prior_entropy: 0.863, recall: 0.8832, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7268, scimark_benchmark: 1842.6679, usercpu_time_millis: 58.876, usercpu_time_millis_testing: 4.671, usercpu_time_millis_training: 54.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8586, kappa: 0.6522, kb_relative_information_score: 15022.8542, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8592, prior_entropy: 0.863, recall: 0.8592, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.7265, scimark_benchmark: 1832.0962, usercpu_time_millis: 77.155, usercpu_time_millis_testing: 3.576, usercpu_time_millis_training: 73.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8593, kappa: 0.6544, kb_relative_information_score: 14929.6514, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8596, prior_entropy: 0.863, recall: 0.8596, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7271, scimark_benchmark: 1798.3091, usercpu_time_millis: 71.184, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 68.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8595, kappa: 0.6536, kb_relative_information_score: 14579.0509, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8604, prior_entropy: 0.863, recall: 0.8604, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7167, scimark_benchmark: 1854.568, usercpu_time_millis: 91.198, usercpu_time_millis_testing: 5.888, usercpu_time_millis_training: 85.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9208, kappa: 0.8014, kb_relative_information_score: 23742.5002, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5149, scimark_benchmark: 1849.8294, usercpu_time_millis: 110.78, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 108.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9218, kappa: 0.8038, kb_relative_information_score: 24622.1094, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5087, scimark_benchmark: 1856.7258, usercpu_time_millis: 89.862, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 88.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28978.1596, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3798, scimark_benchmark: 1842.3188, usercpu_time_millis: 123, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 121.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.0015, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1802.0886, usercpu_time_millis: 97.967, usercpu_time_millis_testing: 7.837, usercpu_time_millis_training: 90.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28572.2082, mean_absolute_error: 0.0739, 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: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3924, scimark_benchmark: 1839.1431, usercpu_time_millis: 113.727, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 112.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9107, kappa: 0.7769, kb_relative_information_score: 19608.3391, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9124, predictive_accuracy: 0.9128, prior_entropy: 0.863, recall: 0.9128, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5863, scimark_benchmark: 1851.3986, usercpu_time_millis: 127.129, usercpu_time_millis_testing: 7.245, usercpu_time_millis_training: 119.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.858, kappa: 0.6532, kb_relative_information_score: 15565.9793, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8576, prior_entropy: 0.863, recall: 0.8576, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7387, scimark_benchmark: 1803.582, usercpu_time_millis: 106.835, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 103.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8556, kappa: 0.6501, kb_relative_information_score: 15485.7582, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8541, prior_entropy: 0.863, recall: 0.8541, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7447, scimark_benchmark: 1836.0792, usercpu_time_millis: 116.221, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 114.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8664, kappa: 0.6749, kb_relative_information_score: 17338.3492, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8676, predictive_accuracy: 0.8656, prior_entropy: 0.863, recall: 0.8656, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6864, scimark_benchmark: 1849.3742, usercpu_time_millis: 28.838, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 28.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9155, kappa: 0.7874, kb_relative_information_score: 24333.9779, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5286, scimark_benchmark: 1807.3344, usercpu_time_millis: 123.104, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 122.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 1.3169, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 57.424, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 52.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9247, kappa: 0.8115, kb_relative_information_score: 24833.7708, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5066, scimark_benchmark: 1853.9121, usercpu_time_millis: 1351.575, usercpu_time_millis_testing: 7.337, usercpu_time_millis_training: 1344.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9342, kappa: 0.8367, kb_relative_information_score: 25293.1138, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4925, scimark_benchmark: 1804.2736, usercpu_time_millis: 1003.066, usercpu_time_millis_testing: 8.92, usercpu_time_millis_training: 994.146,

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