OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9651, kappa: 0.8644, kb_relative_information_score: 5191.5971, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.965, predictive_accuracy: 0.9656, prior_entropy: 0.6204, recall: 0.9656, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4575, scimark_benchmark: 1216.3359, usercpu_time_millis: 680.347, usercpu_time_millis_testing: 5.712, usercpu_time_millis_training: 674.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9774, kb_relative_information_score: 6332.0457, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1858, scimark_benchmark: 1235.9324, usercpu_time_millis: 330.064, usercpu_time_millis_testing: 2.611, usercpu_time_millis_training: 327.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1243.9087, usercpu_time_millis: 269.332, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 268.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9549, kappa: 0.8237, kb_relative_information_score: 4911.6196, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9548, predictive_accuracy: 0.9559, prior_entropy: 0.6204, recall: 0.9559, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5018, scimark_benchmark: 1268.6733, usercpu_time_millis: 797.284, usercpu_time_millis_testing: 7.648, usercpu_time_millis_training: 789.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9857, kappa: 0.9452, kb_relative_information_score: 6022.8358, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9857, predictive_accuracy: 0.9858, prior_entropy: 0.6204, recall: 0.9858, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2909, scimark_benchmark: 1282.1479, usercpu_time_millis: 426.898, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 423.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9214, kappa: 0.68, kb_relative_information_score: 3575.3337, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9244, predictive_accuracy: 0.9269, prior_entropy: 0.6204, recall: 0.9269, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6658, scimark_benchmark: 1258.2398, usercpu_time_millis: 649.129, usercpu_time_millis_testing: 5.737, usercpu_time_millis_training: 643.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9761, kb_relative_information_score: 6325.4061, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.6204, recall: 0.9938, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1943, scimark_benchmark: 1257.8704, usercpu_time_millis: 446.281, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 443.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9639, kappa: 0.8594, kb_relative_information_score: 5159.4076, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9637, predictive_accuracy: 0.9644, prior_entropy: 0.6204, recall: 0.9644, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4595, scimark_benchmark: 1255.7488, usercpu_time_millis: 605.31, usercpu_time_millis_testing: 4.931, usercpu_time_millis_training: 600.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9727, kappa: 0.8937, kb_relative_information_score: 5562.1985, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.6204, recall: 0.9732, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3946, scimark_benchmark: 1292.19, usercpu_time_millis: 708.317, usercpu_time_millis_testing: 6.096, usercpu_time_millis_training: 702.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6551.3159, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0794, scimark_benchmark: 1263.25, usercpu_time_millis: 251.775, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 250.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9608, kappa: 0.8463, kb_relative_information_score: 4979.3638, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9609, predictive_accuracy: 0.9617, prior_entropy: 0.6204, recall: 0.9617, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.464, scimark_benchmark: 1283.5136, usercpu_time_millis: 444.001, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 441.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1257.4151, usercpu_time_millis: 252.311, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 251.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6534.411, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.0977, scimark_benchmark: 1265.9138, usercpu_time_millis: 242.672, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 240.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6521.137, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.1059, scimark_benchmark: 1292.0739, usercpu_time_millis: 287.737, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 286.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6461.7232, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1372, scimark_benchmark: 1288.9947, usercpu_time_millis: 287.367, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 285.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1270.6112, usercpu_time_millis: 279.327, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 278.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9491, kappa: 0.8012, kb_relative_information_score: 4707.2459, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1246.9357, usercpu_time_millis: 561.841, usercpu_time_millis_testing: 5.245, usercpu_time_millis_training: 556.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6567.8001, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0116, root_relative_squared_error: 0.0321, scimark_benchmark: 1265.1427, usercpu_time_millis: 368.642, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 365.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9738, kappa: 0.8985, kb_relative_information_score: 5657.2149, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.6204, recall: 0.9741, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3794, scimark_benchmark: 1270.7062, usercpu_time_millis: 370.903, usercpu_time_millis_testing: 2.673, usercpu_time_millis_training: 368.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6447.1928, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1279, scimark_benchmark: 1237.7947, usercpu_time_millis: 453.038, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 449.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9944, kappa: 0.9785, kb_relative_information_score: 6320.6525, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1944, scimark_benchmark: 1261.0158, usercpu_time_millis: 317.352, usercpu_time_millis_testing: 2.123, usercpu_time_millis_training: 315.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.932, kappa: 0.7313, kb_relative_information_score: 4255.3362, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9316, predictive_accuracy: 0.9342, prior_entropy: 0.6204, recall: 0.9342, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.6082, scimark_benchmark: 1256.3042, usercpu_time_millis: 546.27, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 541.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1267.1225, usercpu_time_millis: 260.657, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 259.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.9197, kappa: 0.6738, kb_relative_information_score: 3497.8747, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6783, scimark_benchmark: 1283.9991, usercpu_time_millis: 641.99, usercpu_time_millis_testing: 4.826, usercpu_time_millis_training: 637.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9649, kappa: 0.8636, kb_relative_information_score: 5157.919, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.458, scimark_benchmark: 1285.5415, usercpu_time_millis: 616.818, usercpu_time_millis_testing: 7.686, usercpu_time_millis_training: 609.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6487.8851, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.1088, scimark_benchmark: 1277.5813, usercpu_time_millis: 426.477, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 423.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9455, kappa: 0.7883, kb_relative_information_score: 4519.7784, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9451, predictive_accuracy: 0.9462, prior_entropy: 0.6204, recall: 0.9462, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5603, scimark_benchmark: 1256.3283, usercpu_time_millis: 578.491, usercpu_time_millis_testing: 5.91, usercpu_time_millis_training: 572.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6468.8853, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1231, scimark_benchmark: 1287.2835, usercpu_time_millis: 384.274, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 381.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1273.6597, usercpu_time_millis: 246.789, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.3841, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0436, scimark_benchmark: 1249.7527, usercpu_time_millis: 246.629, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 245.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6572.4161, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.019, root_relative_squared_error: 0.0526, scimark_benchmark: 1257.7785, usercpu_time_millis: 237.838, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 236.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1255.2059, usercpu_time_millis: 244.75, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 243.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9865, kappa: 0.9478, kb_relative_information_score: 6135.2619, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9864, predictive_accuracy: 0.9865, prior_entropy: 0.6204, recall: 0.9865, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2581, scimark_benchmark: 1239.6758, usercpu_time_millis: 369.167, usercpu_time_millis_testing: 2.79, usercpu_time_millis_training: 366.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9849, kappa: 0.9416, kb_relative_information_score: 6057.1485, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2769, scimark_benchmark: 1283.3312, usercpu_time_millis: 588.334, usercpu_time_millis_testing: 3.811, usercpu_time_millis_training: 584.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6576.6314, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.0397, scimark_benchmark: 1254.8545, usercpu_time_millis: 276.12, usercpu_time_millis_testing: 1.654, usercpu_time_millis_training: 274.466,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9573, kappa: 0.8336, kb_relative_information_score: 4990.8259, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9571, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.179, root_relative_squared_error: 0.4959, scimark_benchmark: 1251.2474, usercpu_time_millis: 740.525, usercpu_time_millis_testing: 8.283, usercpu_time_millis_training: 732.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1269.6942, usercpu_time_millis: 239.511, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 238.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9365, kappa: 0.7545, kb_relative_information_score: 4304.5617, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9361, predictive_accuracy: 0.9371, prior_entropy: 0.6204, recall: 0.9371, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5919, scimark_benchmark: 1274.2701, usercpu_time_millis: 534.219, usercpu_time_millis_testing: 4.991, usercpu_time_millis_training: 529.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9805, kappa: 0.9245, kb_relative_information_score: 5806.9973, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3362, scimark_benchmark: 1282.1473, usercpu_time_millis: 645.818, usercpu_time_millis_testing: 7.043, usercpu_time_millis_training: 638.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5149.7346, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4651, scimark_benchmark: 1254.5766, usercpu_time_millis: 777.999, usercpu_time_millis_testing: 8.863, usercpu_time_millis_training: 769.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9631, kappa: 0.8566, kb_relative_information_score: 5152.4289, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4644, scimark_benchmark: 1264.1283, usercpu_time_millis: 755.512, usercpu_time_millis_testing: 7.317, usercpu_time_millis_training: 748.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.3697, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1273.5766, usercpu_time_millis: 695.953, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 690.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9944, kappa: 0.9785, kb_relative_information_score: 6311.37, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.1972, scimark_benchmark: 1283.6062, usercpu_time_millis: 362.716, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 360.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6494.4395, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0836, scimark_benchmark: 1280.1411, usercpu_time_millis: 510.863, usercpu_time_millis_testing: 3.222, usercpu_time_millis_training: 507.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9796, kappa: 0.9209, kb_relative_information_score: 5883.2371, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9796, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3308, scimark_benchmark: 1253.2307, usercpu_time_millis: 451.339, usercpu_time_millis_testing: 2.984, usercpu_time_millis_training: 448.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9698, kappa: 0.8826, kb_relative_information_score: 5269.9205, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9697, predictive_accuracy: 0.9701, prior_entropy: 0.6204, recall: 0.9701, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4154, scimark_benchmark: 1267.219, usercpu_time_millis: 366.581, usercpu_time_millis_testing: 2.601, usercpu_time_millis_training: 363.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4708.1165, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5411, scimark_benchmark: 1237.802, usercpu_time_millis: 625.359, usercpu_time_millis_testing: 5.933, usercpu_time_millis_training: 619.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9352, kappa: 0.7432, kb_relative_information_score: 3939.3358, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9352, predictive_accuracy: 0.9376, prior_entropy: 0.6204, recall: 0.9376, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.6145, scimark_benchmark: 1266.0295, usercpu_time_millis: 737.666, usercpu_time_millis_testing: 6.274, usercpu_time_millis_training: 731.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6519.7703, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0342, root_relative_squared_error: 0.0947, scimark_benchmark: 1251.896, usercpu_time_millis: 263.347, usercpu_time_millis_testing: 2.404, usercpu_time_millis_training: 260.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1245.6655, usercpu_time_millis: 244.583, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 243.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9634, kappa: 0.8579, kb_relative_information_score: 5160.1648, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6204, recall: 0.9639, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4634, scimark_benchmark: 1232.8072, usercpu_time_millis: 610.677, usercpu_time_millis_testing: 5.878, usercpu_time_millis_training: 604.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9483, kappa: 0.795, kb_relative_information_score: 4472.7004, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5423, scimark_benchmark: 1277.3342, usercpu_time_millis: 479.976, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 477.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5147.9494, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.465, scimark_benchmark: 1253.8419, usercpu_time_millis: 647.76, usercpu_time_millis_testing: 6.285, usercpu_time_millis_training: 641.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6557.2123, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1231.6345, usercpu_time_millis: 240.164, usercpu_time_millis_testing: 1.585, usercpu_time_millis_training: 238.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1248.0586, usercpu_time_millis: 244.709, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 243.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6556.9235, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0705, scimark_benchmark: 1250.5183, usercpu_time_millis: 215.061, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 214.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9892, kappa: 0.9585, kb_relative_information_score: 6106.6214, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.2542, scimark_benchmark: 1242.7479, usercpu_time_millis: 319.784, usercpu_time_millis_testing: 2.823, usercpu_time_millis_training: 316.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9691, kappa: 0.8796, kb_relative_information_score: 5503.4703, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9691, predictive_accuracy: 0.9695, prior_entropy: 0.6204, recall: 0.9695, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4104, scimark_benchmark: 1263.6207, usercpu_time_millis: 679.035, usercpu_time_millis_testing: 7.831, usercpu_time_millis_training: 671.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1264.4186, usercpu_time_millis: 251.379, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 250.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.969, kappa: 0.8794, kb_relative_information_score: 5428.4064, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.6204, recall: 0.9694, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4186, scimark_benchmark: 1218.5887, usercpu_time_millis: 390.125, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 387.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.2002, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.044, scimark_benchmark: 1270.3773, usercpu_time_millis: 290.251, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 289.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9672, kappa: 0.8725, kb_relative_information_score: 5180.296, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9677, prior_entropy: 0.6204, recall: 0.9677, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4308, scimark_benchmark: 1255.376, usercpu_time_millis: 366.1, usercpu_time_millis_testing: 2.666, usercpu_time_millis_training: 363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9506, kappa: 0.8079, kb_relative_information_score: 4734.9018, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9503, predictive_accuracy: 0.9513, prior_entropy: 0.6204, recall: 0.9513, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5323, scimark_benchmark: 1245.529, usercpu_time_millis: 787.146, usercpu_time_millis_testing: 8.386, usercpu_time_millis_training: 778.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1291.3178, usercpu_time_millis: 281.116, usercpu_time_millis_testing: 1.552, usercpu_time_millis_training: 279.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1251.7402, usercpu_time_millis: 274.344, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 273.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.957, kappa: 0.8316, kb_relative_information_score: 4970.5154, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9569, predictive_accuracy: 0.9579, prior_entropy: 0.6204, recall: 0.9579, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.492, scimark_benchmark: 1276.2773, usercpu_time_millis: 625.684, usercpu_time_millis_testing: 4.329, usercpu_time_millis_training: 621.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6543.4636, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0889, scimark_benchmark: 1239.7808, usercpu_time_millis: 238.552, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 237.561,

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