OpenML
Supervised Classification on Fashion-MNIST

Supervised Classification on Fashion-MNIST

Task 146825 Supervised Classification Fashion-MNIST 451 runs submitted
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  • OpenML-CC18 study_218 study_99 vision
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8555, kappa: 0.8406, kb_relative_information_score: 59501.6686, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8619, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8015, kappa: 0.777, kb_relative_information_score: 55013.3784, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8231, predictive_accuracy: 0.7993, prior_entropy: 3.3219, recall: 0.7993, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8923, kappa: 0.8813, kb_relative_information_score: 62547.1024, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8932, predictive_accuracy: 0.8931, prior_entropy: 3.3219, recall: 0.8931, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8662, kappa: 0.8522, kb_relative_information_score: 60661.1353, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8688, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.7874, kappa: 0.7694, kb_relative_information_score: 55632.612, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8034, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8586, kappa: 0.8424, kb_relative_information_score: 60146.3717, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8606, predictive_accuracy: 0.8582, prior_entropy: 3.3219, recall: 0.8582, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8675, kappa: 0.8518, kb_relative_information_score: 60905.2025, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8693, predictive_accuracy: 0.8666, prior_entropy: 3.3219, recall: 0.8666, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8737, kappa: 0.8602, kb_relative_information_score: 61346.8234, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8742, prior_entropy: 3.3219, recall: 0.8742, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8419, kappa: 0.8258, kb_relative_information_score: 59245.0734, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8419, predictive_accuracy: 0.8432, prior_entropy: 3.3219, recall: 0.8432, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8486, kappa: 0.8335, kb_relative_information_score: 58846.9016, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8486, predictive_accuracy: 0.8501, prior_entropy: 3.3219, recall: 0.8501, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8405, kappa: 0.8246, kb_relative_information_score: 58537.6312, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8413, predictive_accuracy: 0.8422, prior_entropy: 3.3219, recall: 0.8422, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.5858, kappa: 0.5442, kb_relative_information_score: 40591.5829, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.6199, predictive_accuracy: 0.5898, prior_entropy: 3.3219, recall: 0.5898, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6688, kappa: 0.6391, kb_relative_information_score: 46737.1501, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7277, predictive_accuracy: 0.6752, prior_entropy: 3.3219, recall: 0.6752, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7049, kappa: 0.6796, kb_relative_information_score: 49130.4436, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7353, predictive_accuracy: 0.7116, prior_entropy: 3.3219, recall: 0.7116, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.4865, kappa: 0.4482, kb_relative_information_score: 24919.7455, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.5105, predictive_accuracy: 0.5034, prior_entropy: 3.3219, recall: 0.5034, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8841, kappa: 0.8715, kb_relative_information_score: 59952.6938, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.884, predictive_accuracy: 0.8844, prior_entropy: 3.3219, recall: 0.8844, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8853, kappa: 0.8729, kb_relative_information_score: 60179.0725, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8852, predictive_accuracy: 0.8856, prior_entropy: 3.3219, recall: 0.8856, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8685, kappa: 0.8547, kb_relative_information_score: 59859.0306, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8682, predictive_accuracy: 0.8692, prior_entropy: 3.3219, recall: 0.8692, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8949, kappa: 0.8835, kb_relative_information_score: 61241.3155, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8948, predictive_accuracy: 0.8951, prior_entropy: 3.3219, recall: 0.8951, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8928, kappa: 0.8812, kb_relative_information_score: 61067.855, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8926, predictive_accuracy: 0.8931, prior_entropy: 3.3219, recall: 0.8931, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8911, kappa: 0.8793, kb_relative_information_score: 61271.8733, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8911, predictive_accuracy: 0.8914, prior_entropy: 3.3219, recall: 0.8914, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8584, kappa: 0.8423, kb_relative_information_score: 56673.0666, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8602, predictive_accuracy: 0.8581, prior_entropy: 3.3219, recall: 0.8581, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.878, kappa: 0.8643, kb_relative_information_score: 58041.5361, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8787, predictive_accuracy: 0.8778, prior_entropy: 3.3219, recall: 0.8778, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7839, kappa: 0.7658, kb_relative_information_score: 49339.7353, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7896, predictive_accuracy: 0.7892, prior_entropy: 3.3219, recall: 0.7892, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8287, kappa: 0.811, kb_relative_information_score: 57328.0936, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8295, predictive_accuracy: 0.8299, prior_entropy: 3.3219, recall: 0.8299, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.863, kappa: 0.8499, kb_relative_information_score: 60266.3684, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8627, predictive_accuracy: 0.8649, prior_entropy: 3.3219, recall: 0.8649, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8448, kappa: 0.8288, kb_relative_information_score: 59359.9064, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8448, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8306, kappa: 0.8113, kb_relative_information_score: 57713.4792, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8324, predictive_accuracy: 0.8302, prior_entropy: 3.3219, recall: 0.8302, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8309, kappa: 0.8123, kb_relative_information_score: 58101.2972, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8352, predictive_accuracy: 0.8311, prior_entropy: 3.3219, recall: 0.8311, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8436, kappa: 0.8282, kb_relative_information_score: 58964.6446, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8518, predictive_accuracy: 0.8454, prior_entropy: 3.3219, recall: 0.8454, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8801, kappa: 0.8671, kb_relative_information_score: 61339.49, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8805, predictive_accuracy: 0.8804, prior_entropy: 3.3219, recall: 0.8804, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.813, kappa: 0.7899, kb_relative_information_score: 56443.8894, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8243, predictive_accuracy: 0.8109, prior_entropy: 3.3219, recall: 0.8109, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8527, kappa: 0.8371, kb_relative_information_score: 59303.1511, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8541, predictive_accuracy: 0.8534, prior_entropy: 3.3219, recall: 0.8534, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8626, kappa: 0.8473, kb_relative_information_score: 60272.8183, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8634, predictive_accuracy: 0.8626, prior_entropy: 3.3219, recall: 0.8626, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8705, kappa: 0.8578, kb_relative_information_score: 60775.8998, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8715, predictive_accuracy: 0.8721, prior_entropy: 3.3219, recall: 0.8721, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, kappa: 0.1103, kb_relative_information_score: 16303.817, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1992, prior_entropy: 3.3219, recall: 0.1992, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.5651, kappa: 0.548, kb_relative_information_score: 40260.479, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.6421, predictive_accuracy: 0.5932, prior_entropy: 3.3219, recall: 0.5932, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8222, kappa: 0.8037, kb_relative_information_score: 57116.1735, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8236, predictive_accuracy: 0.8233, prior_entropy: 3.3219, recall: 0.8233, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.5279, kappa: 0.4586, kb_relative_information_score: 34818.0547, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.5986, predictive_accuracy: 0.5127, prior_entropy: 3.3219, recall: 0.5127, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8712, kappa: 0.8592, kb_relative_information_score: 57816.9104, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8723, predictive_accuracy: 0.8733, prior_entropy: 3.3219, recall: 0.8733, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8218, kappa: 0.8085, kb_relative_information_score: 48513.5763, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8274, predictive_accuracy: 0.8276, prior_entropy: 3.3219, recall: 0.8276, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8842, kappa: 0.8729, kb_relative_information_score: 59438.8107, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8848, predictive_accuracy: 0.8856, prior_entropy: 3.3219, recall: 0.8856, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8733, kappa: 0.8616, kb_relative_information_score: 58270.8294, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8754, prior_entropy: 3.3219, recall: 0.8754, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.848, kappa: 0.8351, kb_relative_information_score: 54151.7414, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8504, predictive_accuracy: 0.8516, prior_entropy: 3.3219, recall: 0.8516, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8796, kappa: 0.8679, kb_relative_information_score: 59023.19, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8804, predictive_accuracy: 0.8811, prior_entropy: 3.3219, recall: 0.8811, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8877, kappa: 0.8768, kb_relative_information_score: 59713.0027, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8882, predictive_accuracy: 0.8891, prior_entropy: 3.3219, recall: 0.8891, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8829, kappa: 0.8716, kb_relative_information_score: 59173.271, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8835, predictive_accuracy: 0.8845, prior_entropy: 3.3219, recall: 0.8845, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.6962, kappa: 0.6731, kb_relative_information_score: 48461.5787, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7171, predictive_accuracy: 0.7058, prior_entropy: 3.3219, recall: 0.7058, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8086, usercpu_time_millis: 194.11, usercpu_time_millis_testing: 3.66, usercpu_time_millis_training: 190.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7991, kappa: 0.7765, kb_relative_information_score: 55273.643, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7995, predictive_accuracy: 0.7988, prior_entropy: 3.3219, recall: 0.7988, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7993, kappa: 0.7767, kb_relative_information_score: 55288.2836, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7996, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7992, kappa: 0.7766, kb_relative_information_score: 55279.9176, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7995, predictive_accuracy: 0.7989, prior_entropy: 3.3219, recall: 0.7989, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6685,

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