Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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21750 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8813, kappa: 0.8683, kb_relative_information_score: 4851.1667, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8814, predictive_accuracy: 0.8815, prior_entropy: 3.3218, recall: 0.8815, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 945.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9874, kappa: 0.986, kb_relative_information_score: 1681.8659, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 3.3218, recall: 0.9874, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 947.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9279, kappa: 0.9176, kb_relative_information_score: 455.7657, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9386, predictive_accuracy: 0.9258, prior_entropy: 3.3218, recall: 0.9258, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9771, scimark_benchmark: 911.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 5509.8455, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.169, scimark_benchmark: 945.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9911, kappa: 0.9901, kb_relative_information_score: 1688.112, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9912, predictive_accuracy: 0.9911, prior_entropy: 3.3218, recall: 0.9911, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9072, scimark_benchmark: 941.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.7456, kappa: 0.6504, kb_relative_information_score: 1309.6169, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9222, predictive_accuracy: 0.6856, prior_entropy: 3.3218, recall: 0.6856, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9429, scimark_benchmark: 943.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8795, kappa: 0.8663, kb_relative_information_score: 4851.4893, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8796, predictive_accuracy: 0.8797, prior_entropy: 3.3218, recall: 0.8797, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5514.3156, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1765, scimark_benchmark: 949.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.894, kappa: 0.8824, kb_relative_information_score: 4986.539, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8941, predictive_accuracy: 0.8941, prior_entropy: 3.3218, recall: 0.8941, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.4425, scimark_benchmark: 947.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9893, kappa: 0.9881, kb_relative_information_score: 1687.0668, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 3.3218, recall: 0.9893, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9063, scimark_benchmark: 950.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 948.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9506, kappa: 0.945, kb_relative_information_score: 5100.145, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9508, predictive_accuracy: 0.9505, prior_entropy: 3.3218, recall: 0.9505, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3208, scimark_benchmark: 937.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9031, kappa: 0.8924, kb_relative_information_score: 5045.8582, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9031, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4464, scimark_benchmark: 910.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.0188, kb_relative_information_score: 437.9682, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0104, predictive_accuracy: 0.1018, prior_entropy: 3.3218, recall: 0.1018, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0214, scimark_benchmark: 948.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5476.1761, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, recall: 0.9735, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2172, scimark_benchmark: 909.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.0288, kappa: -0.0002, kb_relative_information_score: 437.9164, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1016, prior_entropy: 3.3218, recall: 0.1016, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0214, scimark_benchmark: 947.3095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9893, kappa: 0.9881, kb_relative_information_score: 1687.0668, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 3.3218, recall: 0.9893, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9063, scimark_benchmark: 910.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9513, kappa: 0.9458, kb_relative_information_score: 5102.3919, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9514, predictive_accuracy: 0.9512, prior_entropy: 3.3218, recall: 0.9512, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.3185, scimark_benchmark: 950.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 5445.8192, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, recall: 0.9712, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2248, scimark_benchmark: 948.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.878, kappa: 0.8648, kb_relative_information_score: 4852.7541, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8781, predictive_accuracy: 0.8783, prior_entropy: 3.3218, recall: 0.8783, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4668, scimark_benchmark: 947.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9031, kappa: 0.8924, kb_relative_information_score: 5045.8582, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9031, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4464, scimark_benchmark: 947.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 944.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 437.2861, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 943.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 437.2861, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 910.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 1686.3002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 3.3218, recall: 0.9875, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 944.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8717, kappa: 0.8575, kb_relative_information_score: 4790.0064, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8719, predictive_accuracy: 0.8717, prior_entropy: 3.3218, recall: 0.8717, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4785, scimark_benchmark: 942.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8751, kappa: 0.834, kb_relative_information_score: 1526.44, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9392, predictive_accuracy: 0.8505, prior_entropy: 3.3218, recall: 0.8505, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9228, scimark_benchmark: 947.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9038, kappa: 0.8932, kb_relative_information_score: 5043.0574, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9039, predictive_accuracy: 0.9039, prior_entropy: 3.3218, recall: 0.9039, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4461, scimark_benchmark: 945.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8951, kappa: 0.8835, kb_relative_information_score: 4978.6897, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8952, predictive_accuracy: 0.8952, prior_entropy: 3.3218, recall: 0.8952, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4434, scimark_benchmark: 945.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 5445.8192, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, recall: 0.9712, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 5445.8192, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, recall: 0.9712, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2248, scimark_benchmark: 947.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9031, kappa: 0.8924, kb_relative_information_score: 5045.8582, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9031, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4464, scimark_benchmark: 943.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9879, kappa: 0.9866, kb_relative_information_score: 5546.8718, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 3.3218, recall: 0.9879, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1544, scimark_benchmark: 947.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9479, kappa: 0.9421, kb_relative_information_score: 446.7292, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.948, predictive_accuracy: 0.9479, prior_entropy: 3.3218, recall: 0.9479, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9776, scimark_benchmark: 947.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8584, kappa: 0.8424, kb_relative_information_score: 4698.7157, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8588, predictive_accuracy: 0.8582, prior_entropy: 3.3218, recall: 0.8582, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4979, scimark_benchmark: 947.1725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9031, kappa: 0.8924, kb_relative_information_score: 5045.8582, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9031, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.4464, scimark_benchmark: 948.1975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9039, kappa: 0.8932, kb_relative_information_score: 5040.1557, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9039, predictive_accuracy: 0.9039, prior_entropy: 3.3218, recall: 0.9039, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8801, kappa: 0.8669, kb_relative_information_score: 4850.0109, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8801, predictive_accuracy: 0.8802, prior_entropy: 3.3218, recall: 0.8802, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4661, scimark_benchmark: 950.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.1597, kappa: 0.0902, kb_relative_information_score: 620.931, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9095, predictive_accuracy: 0.1827, prior_entropy: 3.3218, recall: 0.1827, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.003, scimark_benchmark: 947.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.928, kappa: 0.9199, kb_relative_information_score: 5185.1529, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9281, predictive_accuracy: 0.9279, prior_entropy: 3.3218, recall: 0.9279, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3929, scimark_benchmark: 948.6587,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.986, kappa: 0.9844, kb_relative_information_score: 5523.8549, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9861, predictive_accuracy: 0.9859, prior_entropy: 3.3218, recall: 0.9859, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1608, scimark_benchmark: 947.4705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.989, kappa: 0.9877, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3218, recall: 0.989, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9892, kappa: 0.9879, kb_relative_information_score: 0.9886, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 3.3218, recall: 0.9891, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9622, kappa: 0.9579, kb_relative_information_score: 0.9296, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 3.3218, recall: 0.9621, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.989, kappa: 0.9877, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3218, recall: 0.989, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3218, recall: 0.9765, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9884, kappa: 0.9871, kb_relative_information_score: 0.9879, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 3.3218, recall: 0.9884, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.989, kappa: 0.9877, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3218, recall: 0.989, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0031, kb_relative_information_score: 0.062, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1032, prior_entropy: 3.3218, recall: 0.1032, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9884, kappa: 0.9871, kb_relative_information_score: 0.9879, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 3.3218, recall: 0.9884, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3218, recall: 0.9765, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9708, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 3.3218, recall: 0.971, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9881, kappa: 0.9868, kb_relative_information_score: 0.9875, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 3.3218, recall: 0.9881, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1628,

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

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

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