OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1871.0514, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.0999, scimark_benchmark: 1322.9314, usercpu_time_millis: 112.332, usercpu_time_millis_testing: 3.336, usercpu_time_millis_training: 108.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1890.0521, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0691, scimark_benchmark: 1304.4219, usercpu_time_millis: 13.151, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 12.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1729.6257, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2082, scimark_benchmark: 1317.7514, usercpu_time_millis: 89.595, usercpu_time_millis_testing: 3.874, usercpu_time_millis_training: 85.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1912.5626, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0555, scimark_benchmark: 1295.2948, usercpu_time_millis: 52.92, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 51.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1502.9759, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3514, scimark_benchmark: 1308.8097, usercpu_time_millis: 57.979, usercpu_time_millis_testing: 3.138, usercpu_time_millis_training: 54.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1929.9252, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0122, root_relative_squared_error: 0.0257, scimark_benchmark: 1296.8504, usercpu_time_millis: 143.99, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 140.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1802.6006, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1436, scimark_benchmark: 1295.465, usercpu_time_millis: 30.215, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 28.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1728.0176, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2095, scimark_benchmark: 1296.4232, usercpu_time_millis: 71.902, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 68.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1842.6407, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.116, scimark_benchmark: 1316.4986, usercpu_time_millis: 62.998, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 60.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.2968, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0103, scimark_benchmark: 1322.0947, usercpu_time_millis: 9.672, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 9.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.983, kappa: 0.9625, kb_relative_information_score: 1422.3595, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.9313, recall: 0.983, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3973, scimark_benchmark: 1298.0512, usercpu_time_millis: 18.203, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 17.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.0753, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0202, scimark_benchmark: 1292.4044, usercpu_time_millis: 76.781, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 75.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1912.3557, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0233, root_relative_squared_error: 0.049, scimark_benchmark: 1323.1954, usercpu_time_millis: 20.127, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 19.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1921.5253, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0194, root_relative_squared_error: 0.0408, scimark_benchmark: 1321.9141, usercpu_time_millis: 77.174, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 75.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.0969, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0022, scimark_benchmark: 1317.4523, usercpu_time_millis: 85.564, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 83.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.0386, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0553, scimark_benchmark: 1287.8037, usercpu_time_millis: 5.76, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 5.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.5053, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0225, root_relative_squared_error: 0.0473, scimark_benchmark: 1291.4862, usercpu_time_millis: 65.372, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 63.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1921.2365, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0358, scimark_benchmark: 1316.252, usercpu_time_millis: 99.567, usercpu_time_millis_testing: 3.017, usercpu_time_millis_training: 96.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.5528, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0099, root_relative_squared_error: 0.0209, scimark_benchmark: 1292.4222, usercpu_time_millis: 94.558, usercpu_time_millis_testing: 1.961, usercpu_time_millis_training: 92.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1839.3874, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1277, scimark_benchmark: 1296.264, usercpu_time_millis: 85.645, usercpu_time_millis_testing: 3, usercpu_time_millis_training: 82.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.4991, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0171, scimark_benchmark: 1300.9011, usercpu_time_millis: 107.081, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 104.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1899.9406, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0693, scimark_benchmark: 1300.1307, usercpu_time_millis: 110.205, usercpu_time_millis_testing: 2.606, usercpu_time_millis_training: 107.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1909.2819, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0551, scimark_benchmark: 1296.3095, usercpu_time_millis: 108.152, usercpu_time_millis_testing: 3.027, usercpu_time_millis_training: 105.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1786.4162, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1661, scimark_benchmark: 1292.6006, usercpu_time_millis: 85.009, usercpu_time_millis_testing: 3.723, usercpu_time_millis_training: 81.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1670.584, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2481, scimark_benchmark: 1317.8573, usercpu_time_millis: 22.705, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 21.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1903.0006, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0602, scimark_benchmark: 1322.1848, usercpu_time_millis: 66.478, usercpu_time_millis_testing: 2.528, usercpu_time_millis_training: 63.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.5367, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0103, scimark_benchmark: 1303.6055, usercpu_time_millis: 91.5, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 89.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9569, kappa: 0.904, kb_relative_information_score: 1057.2767, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9577, predictive_accuracy: 0.9572, prior_entropy: 0.9313, recall: 0.9572, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5868, scimark_benchmark: 1327.6667, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 4.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9484, kappa: 0.8849, kb_relative_information_score: 972.0146, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.95, predictive_accuracy: 0.949, prior_entropy: 0.9313, recall: 0.949, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6256, scimark_benchmark: 1298.7272, usercpu_time_millis: 7.117, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 6.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1910.0856, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0518, scimark_benchmark: 1322.0049, usercpu_time_millis: 80.893, usercpu_time_millis_testing: 2.674, usercpu_time_millis_training: 78.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1668.9658, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2492, scimark_benchmark: 1294.1361, usercpu_time_millis: 44.234, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 41.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1907.2125, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0646, scimark_benchmark: 1321.1388, usercpu_time_millis: 12.214, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 11.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.812, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0025, root_relative_squared_error: 0.0053, scimark_benchmark: 1292.7474, usercpu_time_millis: 126.236, usercpu_time_millis_testing: 2.806, usercpu_time_millis_training: 123.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1739.2177, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2021, scimark_benchmark: 1298.4099, usercpu_time_millis: 38.71, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 36.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1879.238, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.0863, scimark_benchmark: 1314.7012, usercpu_time_millis: 44.829, usercpu_time_millis_testing: 2.021, usercpu_time_millis_training: 42.808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.1848, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.021, root_relative_squared_error: 0.0441, scimark_benchmark: 1303.6714, usercpu_time_millis: 70.24, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 68.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.3807, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0158, scimark_benchmark: 1315.451, usercpu_time_millis: 79.807, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 78.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1872.3359, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.0989, scimark_benchmark: 1322.7078, usercpu_time_millis: 10.675, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 10.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1910.3179, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0554, scimark_benchmark: 1318.5356, usercpu_time_millis: 82.666, usercpu_time_millis_testing: 2.71, usercpu_time_millis_training: 79.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1875.475, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.0934, scimark_benchmark: 1299.2529, usercpu_time_millis: 93.219, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 90.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1889.7088, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.077, scimark_benchmark: 1306.2437, usercpu_time_millis: 85.215, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 82.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.1363, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0053, root_relative_squared_error: 0.0111, scimark_benchmark: 1314.5046, usercpu_time_millis: 166.924, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 164.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9662, kappa: 0.925, kb_relative_information_score: 1102.1323, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.967, predictive_accuracy: 0.9665, prior_entropy: 0.9313, recall: 0.9665, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5641, scimark_benchmark: 1320.0347, usercpu_time_millis: 27.996, usercpu_time_millis_testing: 2.315, usercpu_time_millis_training: 25.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1807.9447, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1403, scimark_benchmark: 1327.339, usercpu_time_millis: 8.075, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 7.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1690.283, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.998, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2328, scimark_benchmark: 1313.972, usercpu_time_millis: 49.041, usercpu_time_millis_testing: 2.636, usercpu_time_millis_training: 46.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.8885, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0056, root_relative_squared_error: 0.0119, scimark_benchmark: 1316.8821, usercpu_time_millis: 12.623, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 12.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1518.6766, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3403, scimark_benchmark: 1317.4832, usercpu_time_millis: 49.22, usercpu_time_millis_testing: 3.565, usercpu_time_millis_training: 45.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.8918, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0154, scimark_benchmark: 1299.4993, usercpu_time_millis: 83.05, usercpu_time_millis_testing: 1.833, usercpu_time_millis_training: 81.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1930.5324, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0148, root_relative_squared_error: 0.0311, scimark_benchmark: 1325.3909, usercpu_time_millis: 104.932, usercpu_time_millis_testing: 2.388, usercpu_time_millis_training: 102.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.2252, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0193, root_relative_squared_error: 0.0405, scimark_benchmark: 1306.8804, usercpu_time_millis: 29.908, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 29.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1758.172, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1885, scimark_benchmark: 1322.0818, usercpu_time_millis: 97.81, usercpu_time_millis_testing: 4.442, usercpu_time_millis_training: 93.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.2249, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0141, scimark_benchmark: 1328.7339, usercpu_time_millis: 134.668, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 131.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1873.9414, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.045, root_relative_squared_error: 0.0946, scimark_benchmark: 1320.0795, usercpu_time_millis: 31.707, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 30.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9726, kappa: 0.9392, kb_relative_information_score: 1180.0838, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 0.9313, recall: 0.9727, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5269, scimark_benchmark: 1286.0529, usercpu_time_millis: 4.785, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 4.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1924.5338, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0319, scimark_benchmark: 1304.4957, usercpu_time_millis: 74.511, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 72.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1900.9741, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0711, scimark_benchmark: 1298.7422, usercpu_time_millis: 105.404, usercpu_time_millis_testing: 3.478, usercpu_time_millis_training: 101.926,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.2645, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0013, root_relative_squared_error: 0.0028, scimark_benchmark: 1320.5481, usercpu_time_millis: 35.818, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 35.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1905.0382, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0305, root_relative_squared_error: 0.064, scimark_benchmark: 1322.1005, usercpu_time_millis: 98.13, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 95.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6014, mean_absolute_error: 0, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0021, scimark_benchmark: 1298.7934, usercpu_time_millis: 3.829, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 3.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.9704, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0114, scimark_benchmark: 1294.9165, usercpu_time_millis: 94.737, usercpu_time_millis_testing: 2.005, usercpu_time_millis_training: 92.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1399.4138, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4117, scimark_benchmark: 1324.3833, usercpu_time_millis: 28.186, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 26.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1902.5701, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0714, scimark_benchmark: 1293.6618, usercpu_time_millis: 75.138, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 73.296,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs