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Function: require_once

OpenML
OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21769 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21769 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.998, build_memory: 340870876.8, f_measure: 0.7067, kappa: 0.6911, kb_relative_information_score: 1515.0973, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7087, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6631, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 76.106, build_memory: 76601924.8, f_measure: 0.6626, kappa: 0.6244, kb_relative_information_score: 1310.9935, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.664, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.256, root_relative_squared_error: 0.8533, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 36.0083, build_memory: 669466350.4, f_measure: 0.6626, kappa: 0.6244, kb_relative_information_score: 1310.9407, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.664, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.256, root_relative_squared_error: 0.8533, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 21.9587, build_memory: 140123177.6, f_measure: 0.6626, kappa: 0.6244, kb_relative_information_score: 1310.8737, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.664, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.256, root_relative_squared_error: 0.8533, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, build_cpu_time: 0.0116, build_memory: 31815212, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, build_cpu_time: 0.0207, build_memory: 483888244.8, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 23.5977, build_memory: 993860212, f_measure: 0.6898, kappa: 0.6556, kb_relative_information_score: 1371.4921, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.69, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7959, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 16.547, build_memory: 999440872.8, f_measure: 0.6863, kappa: 0.6517, kb_relative_information_score: 1370.7629, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6863, predictive_accuracy: 0.6865, prior_entropy: 3.3219, recall: 0.6865, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7948, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, build_cpu_time: 9.5765, build_memory: 2635039726.4, f_measure: 0.6807, kappa: 0.6456, kb_relative_information_score: 1366.9005, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7928, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 5.1472, build_memory: 1394861372, f_measure: 0.6845, kappa: 0.6494, kb_relative_information_score: 1369.0062, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6851, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7774, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 0.0138, build_memory: 445346112.8, f_measure: 0.6866, kappa: 0.6556, kb_relative_information_score: 1488.928, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6915, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6555, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, build_cpu_time: 0.7866, build_memory: 598581612.8, f_measure: 0.6997, kappa: 0.6672, kb_relative_information_score: 1457.9912, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6999, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 0.1991, build_memory: 708793384, f_measure: 0.6949, kappa: 0.6756, kb_relative_information_score: 1426.6621, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7028, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6611, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, build_cpu_time: 0.0006, build_memory: 453065680, f_measure: 0.6623, kappa: 0.6256, kb_relative_information_score: 1308.3233, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6632, predictive_accuracy: 0.663, prior_entropy: 3.3219, recall: 0.663, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.851, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, build_cpu_time: 2.5871, build_memory: 746763341.6, f_measure: 0.5246, kappa: 0.5228, kb_relative_information_score: 519.6113, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5544, predictive_accuracy: 0.5705, prior_entropy: 3.3219, recall: 0.5705, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9276, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, build_cpu_time: 0.2047, build_memory: 458719224.8, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 555.2577, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 1.3978, build_memory: 318206490.4, f_measure: 0.7389, kappa: 0.7111, kb_relative_information_score: 1529.6219, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0029, build_memory: 189446405.6, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 1463.8577, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6907, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.1138, build_memory: 1132215222.4, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.1227, build_memory: 395496217.6, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.092, build_memory: 264675156, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.101, build_memory: 517204916.8, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, build_cpu_time: 0.0079, build_memory: 129074538.4, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, build_cpu_time: 0.0044, build_memory: 296475786.4, f_measure: 0.4669, kappa: 0.4183, kb_relative_information_score: 905.0919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4641, predictive_accuracy: 0.4765, prior_entropy: 3.3219, recall: 0.4765, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.0786, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, build_cpu_time: 0.0042, build_memory: 401236310.4, f_measure: 0.4669, kappa: 0.4183, kb_relative_information_score: 905.0919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4641, predictive_accuracy: 0.4765, prior_entropy: 3.3219, recall: 0.4765, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.0786, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, build_cpu_time: 0.0008, build_memory: 87497373.6, f_measure: 0.1443, kappa: 0.22, kb_relative_information_score: 531.7565, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1367, predictive_accuracy: 0.298, prior_entropy: 3.3219, recall: 0.298, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.249, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, build_cpu_time: 2.5272, build_memory: 2031456656, f_measure: 0.6709, kappa: 0.6494, kb_relative_information_score: 1401.2658, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6779, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6607, scimark_benchmark: 945.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 2.2177, build_memory: 847617852.8, f_measure: 0.6916, kappa: 0.6756, kb_relative_information_score: 554.1963, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7165, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 4.4915, build_memory: 891219311.2, f_measure: 0.6835, kappa: 0.6772, kb_relative_information_score: 554.1616, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 927.8402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 10.4926, build_memory: 705838011.2, f_measure: 0.6976, kappa: 0.6733, kb_relative_information_score: 554.0321, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7122, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 10.2708, build_memory: 469311916, f_measure: 0.6976, kappa: 0.6733, kb_relative_information_score: 554.0321, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7122, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 31.6079, build_memory: 1966826603.2, f_measure: 0.7056, kappa: 0.6761, kb_relative_information_score: 554.0675, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 902.5808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.723, kappa: 0.6983, kb_relative_information_score: 1396.8006, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6362, scimark_benchmark: 918.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.7236, kappa: 0.7156, kb_relative_information_score: 1016.331, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7431, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7477, scimark_benchmark: 897.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.7209, kappa: 0.6928, kb_relative_information_score: 1344.1651, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6436, scimark_benchmark: 595.9239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7076, kappa: 0.6767, kb_relative_information_score: 1171.7704, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6902, scimark_benchmark: 894.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.0359, kappa: 0.0089, kb_relative_information_score: 268.25, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0233, predictive_accuracy: 0.108, prior_entropy: 3.3219, recall: 0.108, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0429, scimark_benchmark: 885.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.6947, kappa: 0.6611, kb_relative_information_score: 1373.7602, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6953, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.8053, scimark_benchmark: 947.7795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.464, kappa: 0.4156, kb_relative_information_score: 1044.8425, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4618, predictive_accuracy: 0.474, prior_entropy: 3.3219, recall: 0.474, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.9029, scimark_benchmark: 593.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.6986, kappa: 0.6656, kb_relative_information_score: 1371.909, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6991, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8135, scimark_benchmark: 895.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.6932, kappa: 0.6939, kb_relative_information_score: 1491.9171, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6979, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.5455, kappa: 0.5428, kb_relative_information_score: 945.4677, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5954, predictive_accuracy: 0.5885, prior_entropy: 3.3219, recall: 0.5885, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.241, root_relative_squared_error: 0.8032, scimark_benchmark: 940.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7183, kappa: 0.6878, kb_relative_information_score: 1486.4751, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7206, predictive_accuracy: 0.719, prior_entropy: 3.3219, recall: 0.719, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6084, scimark_benchmark: 928.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.6932, kappa: 0.6939, kb_relative_information_score: 1491.9171, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6979, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.6822, kappa: 0.6811, kb_relative_information_score: 1430.1668, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6902, predictive_accuracy: 0.713, prior_entropy: 3.3219, recall: 0.713, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6441,

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