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: 0.999, f_measure: 0.984, kappa: 0.9381, kb_relative_information_score: 6031.5252, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.6204, recall: 0.9841, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2848, scimark_benchmark: 1261.0431, usercpu_time_millis: 541.063, usercpu_time_millis_testing: 3.984, usercpu_time_millis_training: 537.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5163.6271, mean_absolute_error: 0.0553, 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: 0.212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.463, scimark_benchmark: 1279.9966, usercpu_time_millis: 644.419, usercpu_time_millis_testing: 6.636, usercpu_time_millis_training: 637.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9319, kappa: 0.7264, kb_relative_information_score: 4035.524, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9331, predictive_accuracy: 0.9354, prior_entropy: 0.6204, recall: 0.9354, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.6002, scimark_benchmark: 1257.2948, usercpu_time_millis: 467.513, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 464.27,
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: 1275.4842, usercpu_time_millis: 280.216, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 279.438,
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: 1272.7067, usercpu_time_millis: 279.355, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 278.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.3666, 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: 1256.7793, usercpu_time_millis: 634.61, usercpu_time_millis_testing: 7.314, usercpu_time_millis_training: 627.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9706, kappa: 0.8857, kb_relative_information_score: 5525.5252, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9706, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3999, scimark_benchmark: 1284.1005, usercpu_time_millis: 499.712, usercpu_time_millis_testing: 3.336, usercpu_time_millis_training: 496.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1246.0596, usercpu_time_millis: 297.184, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 295.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5148.4363, 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: 0.1681, root_relative_squared_error: 0.4654, scimark_benchmark: 1248.8518, usercpu_time_millis: 710.169, usercpu_time_millis_testing: 7.831, usercpu_time_millis_training: 702.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.1104, mean_absolute_error: 0.0558, 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: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4628, scimark_benchmark: 1218.6396, usercpu_time_millis: 793.718, usercpu_time_millis_testing: 9.491, usercpu_time_millis_training: 784.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1278.751, usercpu_time_millis: 366.565, usercpu_time_millis_testing: 2.919, usercpu_time_millis_training: 363.646,
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: 1262.6, usercpu_time_millis: 278.807, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 278.01,
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: 1269.6932, usercpu_time_millis: 284.008, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 283.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9602, kappa: 0.8464, kb_relative_information_score: 4574.8582, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.96, predictive_accuracy: 0.9604, prior_entropy: 0.6204, recall: 0.9604, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5021, scimark_benchmark: 1275.052, usercpu_time_millis: 570.298, usercpu_time_millis_testing: 5.319, usercpu_time_millis_training: 564.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9491, kappa: 0.8013, kb_relative_information_score: 4709.1948, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9489, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1262.8027, usercpu_time_millis: 666.451, usercpu_time_millis_testing: 8.14, usercpu_time_millis_training: 658.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.3517, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0255, scimark_benchmark: 1252.7286, usercpu_time_millis: 341.494, usercpu_time_millis_testing: 2.992, usercpu_time_millis_training: 338.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9193, kappa: 0.6723, kb_relative_information_score: 3496.1966, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9214, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1257.2764, usercpu_time_millis: 620.467, usercpu_time_millis_testing: 6.552, usercpu_time_millis_training: 613.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6565.8015, mean_absolute_error: 0.0011, 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: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.022, root_relative_squared_error: 0.061, scimark_benchmark: 1264.7784, usercpu_time_millis: 289.46, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 288.559,
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: 1229.4214, usercpu_time_millis: 259.426, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 258.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6540.1096, mean_absolute_error: 0.0023, 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: 0.0088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0925, scimark_benchmark: 1263.3278, usercpu_time_millis: 254.868, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 253.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.7303, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1268.5178, usercpu_time_millis: 678.305, usercpu_time_millis_testing: 5.332, usercpu_time_millis_training: 672.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.7751, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1243.3221, usercpu_time_millis: 676.52, usercpu_time_millis_testing: 7.644, usercpu_time_millis_training: 668.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9649, kappa: 0.8636, kb_relative_information_score: 5186.719, mean_absolute_error: 0.0552, 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: 0.2117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.46, scimark_benchmark: 1249.8709, usercpu_time_millis: 722.675, usercpu_time_millis_testing: 7.645, usercpu_time_millis_training: 715.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9821, kappa: 0.931, kb_relative_information_score: 5815.4474, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.982, predictive_accuracy: 0.9821, prior_entropy: 0.6204, recall: 0.9821, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3198, scimark_benchmark: 1278.8153, usercpu_time_millis: 414.14, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 411.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6571.9575, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.01, root_relative_squared_error: 0.0276, scimark_benchmark: 1259.6385, usercpu_time_millis: 405.576, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 402.726,
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: 1231.0163, usercpu_time_millis: 272.434, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 271.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1251.7392, usercpu_time_millis: 385.995, usercpu_time_millis_testing: 2.93, usercpu_time_millis_training: 383.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9489, kappa: 0.8002, kb_relative_information_score: 4710.291, 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: 0.272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5375, scimark_benchmark: 1285.0875, usercpu_time_millis: 706.947, usercpu_time_millis_testing: 6.813, usercpu_time_millis_training: 700.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6553.8715, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0744, scimark_benchmark: 1233.5738, usercpu_time_millis: 271.908, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 270.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9804, kappa: 0.9242, kb_relative_information_score: 5955.2025, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9804, predictive_accuracy: 0.9806, prior_entropy: 0.6204, recall: 0.9806, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3107, scimark_benchmark: 1283.0062, usercpu_time_millis: 422.885, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 419.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8523, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1289.661, usercpu_time_millis: 365.186, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 362.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9588, kappa: 0.8382, kb_relative_information_score: 5085.0001, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.959, predictive_accuracy: 0.9598, prior_entropy: 0.6204, recall: 0.9598, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4738, scimark_benchmark: 1261.0953, usercpu_time_millis: 416.206, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 412.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6496.2543, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1124, scimark_benchmark: 1287.7828, usercpu_time_millis: 303.327, usercpu_time_millis_testing: 1.649, usercpu_time_millis_training: 301.678,
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: 1286.7169, usercpu_time_millis: 271.629, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 270.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.991, kappa: 0.9654, kb_relative_information_score: 6269.2347, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2107, scimark_benchmark: 1270.9105, usercpu_time_millis: 499.633, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 496.256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.929, kappa: 0.7139, kb_relative_information_score: 3951.19, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9308, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6118, scimark_benchmark: 1285.0711, usercpu_time_millis: 497.574, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 494.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9768, kappa: 0.9102, kb_relative_information_score: 5805.3994, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3439, scimark_benchmark: 1290.8088, usercpu_time_millis: 457.5, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 454.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.969, kappa: 0.8795, kb_relative_information_score: 5504.7854, mean_absolute_error: 0.0421, 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: 0.1615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4099, scimark_benchmark: 1262.2472, usercpu_time_millis: 741.2, usercpu_time_millis_testing: 8.018, usercpu_time_millis_training: 733.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.579, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1268.9687, usercpu_time_millis: 386.539, usercpu_time_millis_testing: 2.72, usercpu_time_millis_training: 383.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9374, kappa: 0.7519, kb_relative_information_score: 4009.8324, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9375, predictive_accuracy: 0.9397, prior_entropy: 0.6204, recall: 0.9397, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6084, scimark_benchmark: 1268.349, usercpu_time_millis: 716.44, usercpu_time_millis_testing: 7.72, usercpu_time_millis_training: 708.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9796, kappa: 0.9212, kb_relative_information_score: 5844.5748, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.6204, recall: 0.9797, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.337, scimark_benchmark: 1250.8111, usercpu_time_millis: 368.334, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 365.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.979, kappa: 0.9188, kb_relative_information_score: 5673.3543, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9789, predictive_accuracy: 0.9791, prior_entropy: 0.6204, recall: 0.9791, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3476, scimark_benchmark: 1256.3524, usercpu_time_millis: 365.795, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 363.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1292.3599, usercpu_time_millis: 325.08, usercpu_time_millis_testing: 1.795, usercpu_time_millis_training: 323.285,
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: 1274.0254, usercpu_time_millis: 298.779, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 297.974,
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: 1257.986, usercpu_time_millis: 274.296, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 273.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9367, kappa: 0.7517, kb_relative_information_score: 4154.169, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9362, predictive_accuracy: 0.9382, prior_entropy: 0.6204, recall: 0.9382, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.5989, scimark_benchmark: 1274.5371, usercpu_time_millis: 700.326, usercpu_time_millis_testing: 8.098, usercpu_time_millis_training: 692.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5150.3919, 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: 0.4649, scimark_benchmark: 1286.541, usercpu_time_millis: 798.481, usercpu_time_millis_testing: 8.256, usercpu_time_millis_training: 790.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.4731, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0254, scimark_benchmark: 1270.8333, usercpu_time_millis: 305.837, usercpu_time_millis_testing: 2.388, usercpu_time_millis_training: 303.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5189.3622, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4601, scimark_benchmark: 1270.4685, usercpu_time_millis: 795.585, usercpu_time_millis_testing: 8.375, usercpu_time_millis_training: 787.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6552.2324, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0278, root_relative_squared_error: 0.0769, scimark_benchmark: 1276.3698, usercpu_time_millis: 274.877, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 273.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9488, kappa: 0.7998, kb_relative_information_score: 4703.3051, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5402, scimark_benchmark: 1268.5705, usercpu_time_millis: 650.923, usercpu_time_millis_testing: 6.428, usercpu_time_millis_training: 644.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9768, kappa: 0.91, kb_relative_information_score: 5744.0187, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.3595, scimark_benchmark: 1281.9441, usercpu_time_millis: 628.774, usercpu_time_millis_testing: 5.148, usercpu_time_millis_training: 623.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.498, mean_absolute_error: 0.0007, 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: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0464, scimark_benchmark: 1266.4968, usercpu_time_millis: 304.061, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 303.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9491, kappa: 0.8008, kb_relative_information_score: 4709.5964, mean_absolute_error: 0.0709, 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: 0.2719, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5393, scimark_benchmark: 1263.7203, usercpu_time_millis: 619.824, usercpu_time_millis_testing: 6.266, usercpu_time_millis_training: 613.558,
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: 1259.8041, usercpu_time_millis: 273.983, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 273.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6478.5888, mean_absolute_error: 0.0049, 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: 0.0187, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.1004, scimark_benchmark: 1256.5174, usercpu_time_millis: 480.542, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 477.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6479.6896, mean_absolute_error: 0.0045, 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: 0.0174, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1279, scimark_benchmark: 1273.0153, usercpu_time_millis: 270.428, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 269.126,
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: 1264.421, usercpu_time_millis: 258.744, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 257.877,
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: 1280.7132, usercpu_time_millis: 253.332, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 252.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1251.2558, usercpu_time_millis: 332.627, usercpu_time_millis_testing: 2.735, usercpu_time_millis_training: 329.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9681, kappa: 0.8757, kb_relative_information_score: 5409.4129, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4191, scimark_benchmark: 1268.0256, usercpu_time_millis: 743.42, usercpu_time_millis_testing: 6.428, usercpu_time_millis_training: 736.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9593, kappa: 0.8411, kb_relative_information_score: 5064.369, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9593, predictive_accuracy: 0.9601, prior_entropy: 0.6204, recall: 0.9601, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4777, scimark_benchmark: 1268.9002, usercpu_time_millis: 644.715, usercpu_time_millis_testing: 5.324, usercpu_time_millis_training: 639.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9197, kappa: 0.6738, kb_relative_information_score: 3503.7078, mean_absolute_error: 0.1148, 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: 0.4401, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.6776, scimark_benchmark: 1260.3799, usercpu_time_millis: 590.513, usercpu_time_millis_testing: 5.618, usercpu_time_millis_training: 584.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9892, kappa: 0.9585, kb_relative_information_score: 6107.829, 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: 0.0732, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.2539, scimark_benchmark: 1282.2109, usercpu_time_millis: 372.264, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 369.579,
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: 1270.1065, usercpu_time_millis: 233.79, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 233.055,
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: 1267.141, usercpu_time_millis: 234.686, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 233.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.7077, 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: 1263.9067, usercpu_time_millis: 233.965, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 233.235,

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