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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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: 0.9967, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5478.036, mean_absolute_error: 0.0052, 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: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2259, scimark_benchmark: 922.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.2444, kappa: 0.2237, kb_relative_information_score: 1757.2746, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2537, predictive_accuracy: 0.3014, prior_entropy: 3.3218, recall: 0.3014, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9702, scimark_benchmark: 933.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9159, kappa: 0.9061, kb_relative_information_score: 4954.6505, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 3.3218, recall: 0.9155, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3963, scimark_benchmark: 938.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5528.4095, mean_absolute_error: 0.0032, 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: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1848, scimark_benchmark: 946.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 5524.1583, mean_absolute_error: 0.0033, 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: 0.0183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.19, scimark_benchmark: 942.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.067, kappa: 0.1085, kb_relative_information_score: 1085.8627, 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: 0.9375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 933.5618,
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: 935.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 5470.9568, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2265, scimark_benchmark: 943.481,
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: 948.8684,
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: 936.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9002, kappa: 0.8893, kb_relative_information_score: 4998.5671, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9005, predictive_accuracy: 0.9004, prior_entropy: 3.3218, recall: 0.9004, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501, scimark_benchmark: 945.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9784, kappa: 0.9761, kb_relative_information_score: 5107.7637, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2934, scimark_benchmark: 935.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.5598, kappa: 0.5584, kb_relative_information_score: 2530.7288, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.5581, predictive_accuracy: 0.6027, prior_entropy: 3.3218, recall: 0.6027, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.8062, scimark_benchmark: 945.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9381, kappa: 0.9308, kb_relative_information_score: 5267.8428, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9391, predictive_accuracy: 0.9377, prior_entropy: 3.3218, recall: 0.9377, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.357, scimark_benchmark: 940.1911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.6104, kappa: 0.6069, kb_relative_information_score: 2659.1863, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.6083, predictive_accuracy: 0.6463, prior_entropy: 3.3218, recall: 0.6463, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.796, scimark_benchmark: 935.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.2181, kappa: 0.1845, kb_relative_information_score: 1305.5756, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2095, predictive_accuracy: 0.2662, prior_entropy: 3.3218, recall: 0.2662, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3831, root_relative_squared_error: 1.277, scimark_benchmark: 900.9199,
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: 0.9165, 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,
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: 934.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, 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: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 945.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9737, kappa: 0.9707, kb_relative_information_score: 5473.0128, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 3.3218, recall: 0.9737, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.2285, scimark_benchmark: 927.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9132, kappa: 0.9033, kb_relative_information_score: 5119.5278, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9151, predictive_accuracy: 0.913, prior_entropy: 3.3218, recall: 0.913, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4252, scimark_benchmark: 945.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9135, kappa: 0.9037, kb_relative_information_score: 5071.1362, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9138, predictive_accuracy: 0.9133, prior_entropy: 3.3218, recall: 0.9133, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4237, scimark_benchmark: 947.1379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9813, kappa: 0.9792, kb_relative_information_score: 5510.1073, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9814, predictive_accuracy: 0.9813, prior_entropy: 3.3218, recall: 0.9813, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.203, scimark_benchmark: 942.7991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9279, kappa: 0.9199, kb_relative_information_score: 5182.3053, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9279, predictive_accuracy: 0.9279, prior_entropy: 3.3218, recall: 0.9279, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3927,
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: 0.9947, f_measure: 0.928, kappa: 0.9197, kb_relative_information_score: 5212.8564, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9289, predictive_accuracy: 0.9278, prior_entropy: 3.3218, recall: 0.9278, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3587, scimark_benchmark: 909.677,
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: 931.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 5496.3235, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 3.3218, recall: 0.979, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2161, scimark_benchmark: 943.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9828, kappa: 0.9808, kb_relative_information_score: 5518.1471, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9829, predictive_accuracy: 0.9827, prior_entropy: 3.3218, recall: 0.9827, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1951, scimark_benchmark: 927.4723,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 5515.6732, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 3.3218, recall: 0.9815, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1952, scimark_benchmark: 593.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8112, kappa: 0.8007, kb_relative_information_score: 4565.1099, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8473, predictive_accuracy: 0.8206, prior_entropy: 3.3218, recall: 0.8206, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6313, scimark_benchmark: 922.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9086, kappa: 0.8986, kb_relative_information_score: 5066.9753, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9087, predictive_accuracy: 0.9087, prior_entropy: 3.3218, recall: 0.9087, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4343, scimark_benchmark: 921.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.783, kappa: 0.7669, kb_relative_information_score: 3254.0097, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8185, predictive_accuracy: 0.7902, prior_entropy: 3.3218, recall: 0.7902, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6856, scimark_benchmark: 949.4856,
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: 945.3053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.0277, kappa: -0.0001, kb_relative_information_score: 576.4114, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0199, predictive_accuracy: 0.0988, prior_entropy: 3.3218, recall: 0.0988, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3372, root_relative_squared_error: 1.124, scimark_benchmark: 935.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.2181, kappa: 0.1845, kb_relative_information_score: 1305.5756, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2095, predictive_accuracy: 0.2662, prior_entropy: 3.3218, recall: 0.2662, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3831, root_relative_squared_error: 1.277, scimark_benchmark: 928.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8601, kappa: 0.8448, kb_relative_information_score: 4310.7117, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8615, predictive_accuracy: 0.8603, prior_entropy: 3.3218, recall: 0.8603, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5201, scimark_benchmark: 885.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8348, kappa: 0.8256, kb_relative_information_score: 4696.9287, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8581, predictive_accuracy: 0.8431, prior_entropy: 3.3218, recall: 0.8431, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5906, scimark_benchmark: 883.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8592, kappa: 0.8438, kb_relative_information_score: 4313.4505, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8606, predictive_accuracy: 0.8594, prior_entropy: 3.3218, recall: 0.8594, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5193, scimark_benchmark: 889.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9037, kappa: 0.8928, kb_relative_information_score: 4665.2023, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9045, predictive_accuracy: 0.9036, prior_entropy: 3.3218, recall: 0.9036, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4252, scimark_benchmark: 922.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.0747, kappa: 0.1109, kb_relative_information_score: 920.0941, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0472, predictive_accuracy: 0.2007, prior_entropy: 3.3218, recall: 0.2007, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3998, root_relative_squared_error: 1.3328, scimark_benchmark: 595.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.067, kappa: 0.1085, kb_relative_information_score: 1080.2556, 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: 0.2905, root_relative_squared_error: 0.9682, scimark_benchmark: 596.0188,
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: 0.9912, f_measure: 0.9833, kappa: 0.9814, kb_relative_information_score: 5522.0592, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 3.3218, recall: 0.9833, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1924, scimark_benchmark: 949.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 5494.5103, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2174, scimark_benchmark: 899.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9474, kappa: 0.9417, kb_relative_information_score: 5323.2907, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9474, predictive_accuracy: 0.9475, prior_entropy: 3.3218, recall: 0.9475, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.3235, scimark_benchmark: 893.6167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 5514.1657, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 3.3218, recall: 0.9819, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1996, scimark_benchmark: 634.5478,
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: 923.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, build_cpu_time: 0.5855, build_memory: 226786530.4, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 935.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 9.2235, build_memory: 585640519.2, f_measure: 0.9562, kappa: 0.9514, kb_relative_information_score: 5210.9747, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9564, predictive_accuracy: 0.9562, prior_entropy: 3.3218, recall: 0.9562, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926, scimark_benchmark: 948.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 9.3919, build_memory: 85540323.2, f_measure: 0.9562, kappa: 0.9514, kb_relative_information_score: 5210.9747, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9564, predictive_accuracy: 0.9562, prior_entropy: 3.3218, recall: 0.9562, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926, scimark_benchmark: 946.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 9.5246, build_memory: 87792038.4, f_measure: 0.9562, kappa: 0.9514, kb_relative_information_score: 5210.9747, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9564, predictive_accuracy: 0.9562, prior_entropy: 3.3218, recall: 0.9562, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926, scimark_benchmark: 947.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 22.8563, build_memory: 1565799415.2, f_measure: 0.9579, kappa: 0.9531, kb_relative_information_score: 5212.2636, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 3.3218, recall: 0.9578, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2886, scimark_benchmark: 903.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 37.194, build_memory: 123311661.6, f_measure: 0.96, kappa: 0.9555, kb_relative_information_score: 5215.4921, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3218, recall: 0.96, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2842, scimark_benchmark: 943.1179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 84.0671, build_memory: 928668216.8, f_measure: 0.9617, kappa: 0.9575, kb_relative_information_score: 5218.3229, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9619, predictive_accuracy: 0.9617, prior_entropy: 3.3218, recall: 0.9617, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2817, scimark_benchmark: 940.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 924.3923, build_memory: 250595020.8, f_measure: 0.9796, kappa: 0.9773, kb_relative_information_score: 5251.9283, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3218, recall: 0.9795, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.074, root_relative_squared_error: 0.2467, scimark_benchmark: 945.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 504.0335, build_memory: 111010941.6, 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: 946.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 24601.9584, build_memory: 449661502.4, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 5473.6419, mean_absolute_error: 0.0076, 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: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1926, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 12141.8765, build_memory: 937035088, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 5473.2859, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 3.3218, recall: 0.9792, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1935, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 7087.8334, build_memory: 67717012, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 5473.25, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 3.3218, recall: 0.9792, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1948, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 3001.3601, build_memory: 826492284.8, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 5472.135, mean_absolute_error: 0.0076, 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: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1971, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1428.1708, build_memory: 2966028266.4, f_measure: 0.9774, kappa: 0.9749, kb_relative_information_score: 5468.1277, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 3.3218, recall: 0.9774, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2032, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 0.0112, build_memory: 3180426626.4, 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, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, build_cpu_time: 0.0154, build_memory: 457558403.2, f_measure: 0.7461, kappa: 0.7325, kb_relative_information_score: 2149.5559, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7976, predictive_accuracy: 0.7593, prior_entropy: 3.3218, recall: 0.7593, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8589, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, build_cpu_time: 0.0375, build_memory: 885606442.4, f_measure: 0.7437, kappa: 0.7304, kb_relative_information_score: 2143.0003, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7982, predictive_accuracy: 0.7573, prior_entropy: 3.3218, recall: 0.7573, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.8597, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, build_cpu_time: 0.1175, build_memory: 697681412, f_measure: 0.7455, kappa: 0.7321, kb_relative_information_score: 2142.9302, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7991, predictive_accuracy: 0.7589, prior_entropy: 3.3218, recall: 0.7589, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.8597, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.1861, build_memory: 734219576, f_measure: 0.7446, kappa: 0.7312, kb_relative_information_score: 2148.8631, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7986, predictive_accuracy: 0.758, prior_entropy: 3.3218, recall: 0.758, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8585, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 3.3218, recall: 0.9438, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 3.3218, recall: 0.9438, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 3.3218, recall: 0.9438, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 25960.9849, build_memory: 851309092, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 5509.1312, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, recall: 0.9843, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1659, scimark_benchmark: 943.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 13564.4925, build_memory: 484945140.8, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5509.8612, mean_absolute_error: 0.0057, 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: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1654, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 7.8428, build_memory: 803172885.6, f_measure: 0.914, kappa: 0.9039, kb_relative_information_score: 5141.1296, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9164, predictive_accuracy: 0.9135, prior_entropy: 3.3218, recall: 0.9135, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.122, root_relative_squared_error: 0.4067, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 8.2542, build_memory: 857372890.4, f_measure: 0.914, kappa: 0.9039, kb_relative_information_score: 5141.1296, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9164, predictive_accuracy: 0.9135, prior_entropy: 3.3218, recall: 0.9135, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.122, root_relative_squared_error: 0.4067, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 10.9273, build_memory: 259310967.2, f_measure: 0.9754, kappa: 0.9727, kb_relative_information_score: 5231.0522, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 3.3218, recall: 0.9754, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2709, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, build_cpu_time: 1.7995, build_memory: 511616703.2, f_measure: 0.255, kappa: 0.2347, kb_relative_information_score: 1741.1492, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2618, predictive_accuracy: 0.3114, prior_entropy: 3.3218, recall: 0.3114, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9735, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, build_cpu_time: 2.5042, build_memory: 800900388.8, f_measure: 0.255, kappa: 0.2347, kb_relative_information_score: 1741.1492, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2618, predictive_accuracy: 0.3114, prior_entropy: 3.3218, recall: 0.3114, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9735, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 87.9938, build_memory: 1208642439.2, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 5250.3157, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9837, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2411, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, build_cpu_time: 0.8757, build_memory: 539729534.4, f_measure: 0.2395, kappa: 0.2167, kb_relative_information_score: 1737.1226, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2617, predictive_accuracy: 0.2952, prior_entropy: 3.3218, recall: 0.2952, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9879, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, build_cpu_time: 0.4242, build_memory: 897341760.8, f_measure: 0.2538, kappa: 0.2316, kb_relative_information_score: 1771.067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2896, predictive_accuracy: 0.3085, prior_entropy: 3.3218, recall: 0.3085, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.988, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, build_cpu_time: 0.5104, build_memory: 787603103.2, f_measure: 0.2538, kappa: 0.2316, kb_relative_information_score: 1771.067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2896, predictive_accuracy: 0.3085, prior_entropy: 3.3218, recall: 0.3085, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.988, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 172.6491, build_memory: 727652789.6, f_measure: 0.9852, kappa: 0.9836, kb_relative_information_score: 5253.9429, mean_absolute_error: 0.0236, 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: 0.131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2382, scimark_benchmark: 942.4281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.6992, build_memory: 123529598.4, f_measure: 0.9784, kappa: 0.9761, kb_relative_information_score: 5107.7637, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2934, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.7905, build_memory: 127760507.2, f_measure: 0.9784, kappa: 0.9761, kb_relative_information_score: 5107.7637, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2934, scimark_benchmark: 946.5543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.8682, build_memory: 2867870356.8, 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: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.8455, build_memory: 379249159.2, 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: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.4641, build_memory: 865479308, 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: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 3.7843, build_memory: 1710306277.6, f_measure: 0.9456, kappa: 0.9395, kb_relative_information_score: 5093.0158, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9457, predictive_accuracy: 0.9456, prior_entropy: 3.3218, recall: 0.9456, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3281, scimark_benchmark: 947.4258,
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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