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: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1538.0057, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3305, scimark_benchmark: 1287.8879, usercpu_time_millis: 75.68, usercpu_time_millis_testing: 3.983, usercpu_time_millis_training: 71.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9855, kappa: 0.968, kb_relative_information_score: 1346.5225, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9313, recall: 0.9856, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4393, scimark_benchmark: 1300.4465, usercpu_time_millis: 108.064, usercpu_time_millis_testing: 6.518, usercpu_time_millis_training: 101.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1912.7712, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0532, scimark_benchmark: 1306.1565, usercpu_time_millis: 141.909, usercpu_time_millis_testing: 3.312, usercpu_time_millis_training: 138.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.0706, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0188, root_relative_squared_error: 0.0395, scimark_benchmark: 1310.8129, usercpu_time_millis: 43.597, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 42.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1803.374, mean_absolute_error: 0.0421, 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: 0.093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1561, scimark_benchmark: 1294.8194, usercpu_time_millis: 121.43, usercpu_time_millis_testing: 4.127, usercpu_time_millis_training: 117.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.3877, 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: 0.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0019, scimark_benchmark: 1290.6545, usercpu_time_millis: 74.584, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 73.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1903.3298, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0656, scimark_benchmark: 1289.8987, usercpu_time_millis: 76.935, usercpu_time_millis_testing: 2.326, usercpu_time_millis_training: 74.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1909.8559, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0522, scimark_benchmark: 1314.452, usercpu_time_millis: 6.882, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 6.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9861, kappa: 0.9692, kb_relative_information_score: 1403.8769, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4065, scimark_benchmark: 1319.6996, usercpu_time_millis: 57.449, usercpu_time_millis_testing: 4.233, usercpu_time_millis_training: 53.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1313.4896, usercpu_time_millis: 37.572, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 36.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1895.1829, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.036, root_relative_squared_error: 0.0757, scimark_benchmark: 1306.7548, usercpu_time_millis: 167.203, usercpu_time_millis_testing: 3.643, usercpu_time_millis_training: 163.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1927.1561, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0317, scimark_benchmark: 1306.1596, usercpu_time_millis: 3.191, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 3.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1579.8896, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.304, scimark_benchmark: 1319.1983, usercpu_time_millis: 81.572, usercpu_time_millis_testing: 4.097, usercpu_time_millis_training: 77.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1822.0548, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1428, scimark_benchmark: 1311.2615, usercpu_time_millis: 63.097, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 60.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.922, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0205, root_relative_squared_error: 0.0431, scimark_benchmark: 1313.9136, usercpu_time_millis: 98.103, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 95.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1653.9582, mean_absolute_error: 0.0856, 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: 0.1889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2555, scimark_benchmark: 1314.8889, usercpu_time_millis: 63.643, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 60.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.1268, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0074, scimark_benchmark: 1298.5317, usercpu_time_millis: 122.991, usercpu_time_millis_testing: 2.71, usercpu_time_millis_training: 120.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1744.6706, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1967, scimark_benchmark: 1303.4369, usercpu_time_millis: 39.367, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 37.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9829, kappa: 0.9622, kb_relative_information_score: 1282.4144, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.9313, recall: 0.983, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4766, scimark_benchmark: 1320.5256, usercpu_time_millis: 54.442, usercpu_time_millis_testing: 4.319, usercpu_time_millis_training: 50.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1640.6761, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2663, scimark_benchmark: 1289.3438, usercpu_time_millis: 104.124, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 99.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.1695, 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: 1287.1076, usercpu_time_millis: 21.031, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 20.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9704, kappa: 0.9344, kb_relative_information_score: 1111.5897, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.971, predictive_accuracy: 0.9706, prior_entropy: 0.9313, recall: 0.9706, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.56, scimark_benchmark: 1299.1755, usercpu_time_millis: 64.743, usercpu_time_millis_testing: 5.166, usercpu_time_millis_training: 59.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.5853, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0045, root_relative_squared_error: 0.0094, scimark_benchmark: 1321.0921, usercpu_time_millis: 139.318, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 136.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1338.8346, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4437, scimark_benchmark: 1322.0335, usercpu_time_millis: 44.758, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 42.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1849.227, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1193, scimark_benchmark: 1300.2561, usercpu_time_millis: 83.492, usercpu_time_millis_testing: 3.565, usercpu_time_millis_training: 79.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1926.4673, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0138, root_relative_squared_error: 0.029, scimark_benchmark: 1287.8819, usercpu_time_millis: 30.136, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 29.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1822.9686, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1411, scimark_benchmark: 1306.5178, usercpu_time_millis: 93.243, usercpu_time_millis_testing: 3.464, usercpu_time_millis_training: 89.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1797.4311, mean_absolute_error: 0.044, 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: 0.0971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.1587, scimark_benchmark: 1318.1616, usercpu_time_millis: 65.272, usercpu_time_millis_testing: 3.224, usercpu_time_millis_training: 62.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1831.0165, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.135, scimark_benchmark: 1304.9266, usercpu_time_millis: 90.45, usercpu_time_millis_testing: 3.501, usercpu_time_millis_training: 86.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9155, kappa: 0.8105, kb_relative_information_score: 882.0544, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.921, predictive_accuracy: 0.9176, prior_entropy: 0.9313, recall: 0.9176, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6662, scimark_benchmark: 1318.313, usercpu_time_millis: 3.04, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1860.664, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1106, scimark_benchmark: 1292.5641, usercpu_time_millis: 69.865, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 67.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1575.7756, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.307, scimark_benchmark: 1305.6937, usercpu_time_millis: 37.127, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 35.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1911.8973, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.0548, scimark_benchmark: 1313.4315, usercpu_time_millis: 79.137, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 77.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1862.0561, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.0929, scimark_benchmark: 1302.9386, usercpu_time_millis: 47.334, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 45.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1903.0777, 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: 0.0264, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0655, scimark_benchmark: 1314.8081, usercpu_time_millis: 118.964, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 115.857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.6658, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0102, scimark_benchmark: 1296.1735, usercpu_time_millis: 32.26, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 31.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.2599, 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: 0.0037, root_relative_squared_error: 0.0078, scimark_benchmark: 1312.5493, usercpu_time_millis: 88.328, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 86.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1762.9503, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1869, scimark_benchmark: 1309.6668, usercpu_time_millis: 16.805, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 16.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1620.6856, mean_absolute_error: 0.0948, 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: 0.2091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.278, scimark_benchmark: 1307.8403, usercpu_time_millis: 9.799, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 9.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1931.5713, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0229, scimark_benchmark: 1298.9094, usercpu_time_millis: 19.415, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 18.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.3617, 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: 0.0062, root_relative_squared_error: 0.013, scimark_benchmark: 1308.1306, usercpu_time_millis: 93.299, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 91.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1843.7113, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1233, scimark_benchmark: 1312.3398, usercpu_time_millis: 114.766, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 111.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1880.8534, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.0895, scimark_benchmark: 1321.4525, usercpu_time_millis: 53.629, usercpu_time_millis_testing: 1.936, usercpu_time_millis_training: 51.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1870.5814, mean_absolute_error: 0.0221, 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: 0.0488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.0935, scimark_benchmark: 1304.6465, usercpu_time_millis: 5.699, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 5.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1892.0245, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.0773, scimark_benchmark: 1292.8008, usercpu_time_millis: 10.786, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 10.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.3583, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0058, root_relative_squared_error: 0.0122, scimark_benchmark: 1308.7535, usercpu_time_millis: 106.285, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 103.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.956, kappa: 0.9026, kb_relative_information_score: 1538.5108, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.9313, recall: 0.9562, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4276, scimark_benchmark: 1308.6072, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1876.8914, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.0949, scimark_benchmark: 1291.8616, usercpu_time_millis: 61.553, usercpu_time_millis_testing: 2.225, usercpu_time_millis_training: 59.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1845.6816, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1225, scimark_benchmark: 1308.6428, usercpu_time_millis: 72.62, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 70.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.6319, 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: 0.0163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0468, scimark_benchmark: 1318.5835, usercpu_time_millis: 8.79, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 8.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1839.8809, mean_absolute_error: 0.0311, 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: 0.0687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1302, scimark_benchmark: 1310.34, usercpu_time_millis: 39.45, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 38.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1669.8899, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2482, scimark_benchmark: 1302.2493, usercpu_time_millis: 59.405, usercpu_time_millis_testing: 2.737, usercpu_time_millis_training: 56.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1825.2753, mean_absolute_error: 0.0356, 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: 0.0787, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.1396, scimark_benchmark: 1307.7682, usercpu_time_millis: 28.642, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 27.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9663, kappa: 0.9251, kb_relative_information_score: 1097.5073, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.9313, recall: 0.9665, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5654, scimark_benchmark: 1294.0141, usercpu_time_millis: 64.92, usercpu_time_millis_testing: 5.373, usercpu_time_millis_training: 59.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1789.3191, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1667, scimark_benchmark: 1297.359, usercpu_time_millis: 16.877, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 16.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8756, kappa: 0.7189, kb_relative_information_score: 765.0257, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8961, predictive_accuracy: 0.882, prior_entropy: 0.9313, recall: 0.882, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7135, scimark_benchmark: 1288.9061, usercpu_time_millis: 32.691, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 29.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1588.4164, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2988, scimark_benchmark: 1297.9002, usercpu_time_millis: 83.021, usercpu_time_millis_testing: 5.208, usercpu_time_millis_training: 77.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1911.5723, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0539, scimark_benchmark: 1308.7781, usercpu_time_millis: 114.619, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 111.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1898.4663, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0322, root_relative_squared_error: 0.0676, scimark_benchmark: 1317.1715, usercpu_time_millis: 55.043, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 53.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.5934, 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: 0.0004, root_relative_squared_error: 0.0009, scimark_benchmark: 1288.1373, usercpu_time_millis: 110.269, usercpu_time_millis_testing: 2.228, usercpu_time_millis_training: 108.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1551.1087, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3232, scimark_benchmark: 1292.0507, usercpu_time_millis: 35.674, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 33.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.1262, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0045, root_relative_squared_error: 0.0094, scimark_benchmark: 1307.3059, usercpu_time_millis: 15.729, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 15.385,

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