OpenML
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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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: 0.9993, 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: 0.9989, 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: 0.5054, 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: 0.9975, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 5509.5115, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 3.3218, recall: 0.9801, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1975, scimark_benchmark: 945.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.0332, kappa: 0.0085, kb_relative_information_score: 440.2837, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.112, predictive_accuracy: 0.1094, prior_entropy: 3.3218, recall: 0.1094, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0213, scimark_benchmark: 948.8708,
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: 0.9983, 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: 0.9624, 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: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 947.95,
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: 0.9982, 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: 0.9524, 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: 0.9672, 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: 0.5802, f_measure: 0.0465, kappa: 0.0106, kb_relative_information_score: 474.5404, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.1192, predictive_accuracy: 0.1112, prior_entropy: 3.3218, recall: 0.1112, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3044, root_relative_squared_error: 1.0147, scimark_benchmark: 950.0334,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8594, kappa: 0.8436, kb_relative_information_score: 4706.562, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8597, predictive_accuracy: 0.8593, prior_entropy: 3.3218, recall: 0.8593, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4959, scimark_benchmark: 940.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.0213, kappa: 0.0014, kb_relative_information_score: 437.7707, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.112, predictive_accuracy: 0.103, prior_entropy: 3.3218, recall: 0.103, 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: 945.9116,
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: 0.962, 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: 0.953, 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: 0.9982, 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: 0.6781, 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: 0.9975, 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: 0.5007, f_measure: 0.0199, kappa: 0.0006, kb_relative_information_score: 437.6376, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.112, predictive_accuracy: 0.1023, prior_entropy: 3.3218, recall: 0.1023, 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: 949.139,
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: 0.9674, 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: 0.9529, 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: 0.9524, 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: 0.9975, 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: 945.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9508, kappa: 0.9452, kb_relative_information_score: 5102.0023, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9509, predictive_accuracy: 0.9507, prior_entropy: 3.3218, recall: 0.9507, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3198, scimark_benchmark: 947.7465,
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: 0.9909, 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: 0.9975, f_measure: 0.9874, kappa: 0.986, kb_relative_information_score: 1681.7499, 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: 948.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9874, kappa: 0.986, kb_relative_information_score: 1681.7499, 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: 947.5529,
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: 0.6547, 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: 0.9989, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 5529.4198, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9847, prior_entropy: 3.3218, recall: 0.9847, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1577, scimark_benchmark: 949.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9077, kappa: 0.8966, kb_relative_information_score: 5085.48, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.912, predictive_accuracy: 0.9069, prior_entropy: 3.3218, recall: 0.9069, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4438, scimark_benchmark: 948.365,
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: 0.9987, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 1688.1119, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3218, recall: 0.9918, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9065, scimark_benchmark: 949.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9718, kappa: 0.9688, kb_relative_information_score: 5179.8936, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 3.3218, recall: 0.9719, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2957, scimark_benchmark: 948.1929,
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: 0.5053, 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: 0.9654, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 5489.1989, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1997,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 5086.2756, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3218, recall: 0.9665, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3256, scimark_benchmark: 932.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 945.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9852, kappa: 0.9836, kb_relative_information_score: 5534.0972, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 3.3218, recall: 0.9852, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1797, scimark_benchmark: 946.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 923.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7282, kappa: 0.7171, kb_relative_information_score: 2136.447, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7915, predictive_accuracy: 0.7454, prior_entropy: 3.3218, recall: 0.7454, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.0324, kappa: 0.0074, kb_relative_information_score: 773.1004, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.021, predictive_accuracy: 0.1057, prior_entropy: 3.3218, recall: 0.1057, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 4823.4363, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.391, scimark_benchmark: 935.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9776, kappa: 0.9751, kb_relative_information_score: 5494.285, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9777, predictive_accuracy: 0.9776, prior_entropy: 3.3218, recall: 0.9776, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2137, scimark_benchmark: 932.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9796, kappa: 0.9773, kb_relative_information_score: 5501.4869, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9798, predictive_accuracy: 0.9795, prior_entropy: 3.3218, recall: 0.9795, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2089, scimark_benchmark: 931.3877,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 5252.8136, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3218, recall: 0.979, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2478, scimark_benchmark: 939.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 5522.6562, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9829, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1908, scimark_benchmark: 947.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 5529.8292, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818, scimark_benchmark: 947.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9867, kappa: 0.9852, kb_relative_information_score: 5505.9511, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 3.3218, recall: 0.9867, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1841, scimark_benchmark: 944.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9682, kb_relative_information_score: 5461.1284, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 3.3218, recall: 0.9714, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2388, scimark_benchmark: 894.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.067, kappa: 0.1085, kb_relative_information_score: 1080.695, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0404, predictive_accuracy: 0.1982, prior_entropy: 3.3218, recall: 0.1982, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9682, scimark_benchmark: 945.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9804, kappa: 0.9783, kb_relative_information_score: 5509.1519, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 3.3218, recall: 0.9804, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2033, scimark_benchmark: 942.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9682, kb_relative_information_score: 5461.1284, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 3.3218, recall: 0.9714, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2388, scimark_benchmark: 946.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9066, kappa: 0.896, kb_relative_information_score: 4723.7686, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9074, predictive_accuracy: 0.9064, prior_entropy: 3.3218, recall: 0.9064, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.414, scimark_benchmark: 946.6613,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9699, kappa: 0.9666, kb_relative_information_score: 5444.6205, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 3.3218, recall: 0.9699, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.236, scimark_benchmark: 947.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8496, kappa: 0.8329, kb_relative_information_score: 4736.3985, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 3.3218, recall: 0.8496, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.578, scimark_benchmark: 946.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5517.3485, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1951, scimark_benchmark: 940.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 5492.8921, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 3.3218, recall: 0.9847, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1967, scimark_benchmark: 941.477,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9667, kappa: 0.963, kb_relative_information_score: 5430.4009, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 3.3218, recall: 0.9667, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2569, scimark_benchmark: 920.0096,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 944.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7847, kappa: 0.7691, kb_relative_information_score: 3379.8008, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8197, predictive_accuracy: 0.7922, prior_entropy: 3.3218, recall: 0.7922, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793, scimark_benchmark: 947.3183,
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: 943.428,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9851, kappa: 0.9834, kb_relative_information_score: 5534.9157, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 3.3218, recall: 0.9851, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1786, scimark_benchmark: 928.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8749, kappa: 0.8614, kb_relative_information_score: 4886.9519, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8748, predictive_accuracy: 0.8753, prior_entropy: 3.3218, recall: 0.8753, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5265, scimark_benchmark: 936.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9684, kappa: 0.9648, kb_relative_information_score: 5231.4888, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9685, predictive_accuracy: 0.9683, prior_entropy: 3.3218, recall: 0.9683, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2772, scimark_benchmark: 936.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 4823.4363, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.391, scimark_benchmark: 902.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 5512.2537, mean_absolute_error: 0.0037, 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: 0.0204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.2018, scimark_benchmark: 929.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9473, kappa: 0.9415, kb_relative_information_score: 5152.9196, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3194, scimark_benchmark: 945.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9752, kappa: 0.9725, kb_relative_information_score: 5100.0307, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 3.3218, recall: 0.9753, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.305, scimark_benchmark: 944.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.953, kappa: 0.9478, kb_relative_information_score: 5199.1259, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3218, recall: 0.953, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3055, scimark_benchmark: 936.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 5492.8921, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 3.3218, recall: 0.9847, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1967, scimark_benchmark: 922.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9206, kappa: 0.9116, kb_relative_information_score: 5036.1414, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9209, predictive_accuracy: 0.9205, prior_entropy: 3.3218, recall: 0.9205, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3694, scimark_benchmark: 941.7792,

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