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: 0.9982, f_measure: 0.989, kappa: 0.9877, kb_relative_information_score: 1686.6719, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3218, recall: 0.989, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 946.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, kappa: 0.0079, kb_relative_information_score: 0.0674, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1089, prior_entropy: 3.3218, recall: 0.1089, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0188, kb_relative_information_score: 437.4022, mean_absolute_error: 0.1799, 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: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 946.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, kappa: 0.0103, kb_relative_information_score: 0.0696, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.111, prior_entropy: 3.3218, recall: 0.111, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, kappa: 0.0151, kb_relative_information_score: 0.074, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1153, prior_entropy: 3.3218, recall: 0.1153, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9088, kappa: 0.8982, kb_relative_information_score: 5032.2821, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9097, predictive_accuracy: 0.9084, prior_entropy: 3.3218, recall: 0.9084, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.436, scimark_benchmark: 2008.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9179, kappa: 0.9087, kb_relative_information_score: 5027.5954, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9183, predictive_accuracy: 0.9178, prior_entropy: 3.3218, recall: 0.9178, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.373, scimark_benchmark: 2007.1016,
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: 2010.2432,
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: 2014.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9421, kappa: 0.9357, kb_relative_information_score: 5281.6776, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9421, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3568, scimark_benchmark: 2010.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8667, kappa: 0.8517, kb_relative_information_score: 4835.7788, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.867, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5446, scimark_benchmark: 1995.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1969.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 4923.414, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8958, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4461, scimark_benchmark: 1923.298,
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: 0.9812, 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: 0.9165, 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: 0.9003, 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: 0.995, 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: 0.9912, 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 - 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: 0.9651, 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 - 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: 0.5554, 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: 0.5923, 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: 0.9975, 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: 0.5923, 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: 0.7861, 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: 0.9146, 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: 0.9782, 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: 0.9947, 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: 0.9877, 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: 0.6854, 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: 0.9854, 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: 0.6781, 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: 0.9922, 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: 0.9891, 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: 0.9934, 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: 0.9723, 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: 0.9128, 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: 0.6855, 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: 0.9976, 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: 0.9958, 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: 0.9957, 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: 0.9916, 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: 0.9939, 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: 0.9939, 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: 0.9929, 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: 0.891, 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: 0.9985, 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: 0.9993, 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: 0.9982, 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 - 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, 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: 0.9953, 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,
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: 0.9929, 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: 0.9934, 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: 0.994, 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 - 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: 0.9921, 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: 0.998, 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 - 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 - 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: 0.9939, 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 - 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: 0.9307, 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: 0.9943, 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: 0.999, 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,

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