Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 23377 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 random_tag study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 1639.3031, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.5227, scimark_benchmark: 947.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9406, kappa: 0.9339, kb_relative_information_score: 1813.8222, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9411, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3454, scimark_benchmark: 947.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.6298, kappa: 0.5467, kb_relative_information_score: 445.8869, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.592, prior_entropy: 3.3219, recall: 0.592, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.283, root_relative_squared_error: 0.9435, scimark_benchmark: 942.5776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.6002, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4758, scimark_benchmark: 946.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.6002, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4758, scimark_benchmark: 944.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 596.5807, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 947.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.1103, kappa: 0.1072, kb_relative_information_score: 441.9991, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0814, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, scimark_benchmark: 946.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.943, kappa: 0.9367, kb_relative_information_score: 1773.1681, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9433, predictive_accuracy: 0.943, prior_entropy: 3.3219, recall: 0.943, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3542, scimark_benchmark: 947.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 596.5807, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 929.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.0631, kappa: 0.0078, kb_relative_information_score: 162.9113, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4408, predictive_accuracy: 0.107, prior_entropy: 3.3219, recall: 0.107, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.019, scimark_benchmark: 947.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1942.5157, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, scimark_benchmark: 944.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9766, kappa: 0.9739, kb_relative_information_score: 1948.8605, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9768, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2206, scimark_benchmark: 946.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.8136, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476, scimark_benchmark: 945.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9446, kappa: 0.9383, kb_relative_information_score: 1872.949, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9449, predictive_accuracy: 0.9445, prior_entropy: 3.3219, recall: 0.9445, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.3014, scimark_benchmark: 947.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1942.5157, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, scimark_benchmark: 947.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9614, kappa: 0.9572, kb_relative_information_score: 1909.6588, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9618, predictive_accuracy: 0.9615, prior_entropy: 3.3219, recall: 0.9615, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2591, scimark_benchmark: 943.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9584, kappa: 0.9539, kb_relative_information_score: 1905.5302, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2617, scimark_benchmark: 945.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.1431, kappa: 0.0794, kb_relative_information_score: 189.4752, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8983, predictive_accuracy: 0.1715, prior_entropy: 3.3219, recall: 0.1715, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.014, scimark_benchmark: 911.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 1842.349, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 3.3219, recall: 0.924, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.4068, scimark_benchmark: 945.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9711, kappa: 0.9678, kb_relative_information_score: 595.0004, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9715, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 942.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8901, kappa: 0.8778, kb_relative_information_score: 1770.5115, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8906, predictive_accuracy: 0.89, prior_entropy: 3.3219, recall: 0.89, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4725, scimark_benchmark: 948.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9549, kappa: 0.95, kb_relative_information_score: 1894.0187, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2742, scimark_benchmark: 945.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8399, kappa: 0.8217, kb_relative_information_score: 1637.4165, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8415, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5242, scimark_benchmark: 950.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8785, kappa: 0.8644, kb_relative_information_score: 1738.5081, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8793, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4813, scimark_benchmark: 950.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9419, kappa: 0.9328, kb_relative_information_score: 579.7936, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9503, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.913, scimark_benchmark: 944.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 596.6245, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9076, scimark_benchmark: 943.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 596.9021, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9072, scimark_benchmark: 946.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 943.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1942.5157, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, scimark_benchmark: 948.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9687, kappa: 0.965, kb_relative_information_score: 593.7961, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9695, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9093, scimark_benchmark: 944.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.875, kappa: 0.8606, kb_relative_information_score: 1734.6514, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.876, predictive_accuracy: 0.8745, prior_entropy: 3.3219, recall: 0.8745, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4844, scimark_benchmark: 906.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.8136, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476, scimark_benchmark: 907.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8821, kappa: 0.8689, kb_relative_information_score: 1737.1957, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8842, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4589, scimark_benchmark: 945.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9731, kappa: 0.97, kb_relative_information_score: 595.7247, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9734, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9088, scimark_benchmark: 947.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.1492, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8902, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4755, scimark_benchmark: 945.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9604, kappa: 0.9561, kb_relative_information_score: 1901.6543, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2654, scimark_benchmark: 945.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.945, kappa: 0.9389, kb_relative_information_score: 1774.0267, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9455, predictive_accuracy: 0.945, prior_entropy: 3.3219, recall: 0.945, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3624, scimark_benchmark: 911.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 930.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8466, kappa: 0.8289, kb_relative_information_score: 1660.1563, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.5103, scimark_benchmark: 943.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.1367, kappa: 0.1472, kb_relative_information_score: 202.4572, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5737, predictive_accuracy: 0.2325, prior_entropy: 3.3219, recall: 0.2325, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9992, scimark_benchmark: 949.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.3754, kappa: 0.3183, kb_relative_information_score: 716.8556, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3741, predictive_accuracy: 0.3865, prior_entropy: 3.3219, recall: 0.3865, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3503, root_relative_squared_error: 1.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8472, kappa: 0.8294, kb_relative_information_score: 1662.6258, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8482, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5093, scimark_benchmark: 949.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8765, kappa: 0.8622, kb_relative_information_score: 1736.1481, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8775, predictive_accuracy: 0.876, prior_entropy: 3.3219, recall: 0.876, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4828, scimark_benchmark: 944.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.858, kappa: 0.8417, kb_relative_information_score: 1697.5123, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8589, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4942, scimark_benchmark: 912.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9375, kappa: 0.9306, kb_relative_information_score: 1765.9406, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9379, predictive_accuracy: 0.9375, prior_entropy: 3.3219, recall: 0.9375, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3664, scimark_benchmark: 2010.0993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 2020.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.5769, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.2075, scimark_benchmark: 2019.1701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9436, kappa: 0.9372, kb_relative_information_score: 1771.5142, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9443, predictive_accuracy: 0.9435, prior_entropy: 3.3219, recall: 0.9435, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3663, scimark_benchmark: 2015.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8525, kappa: 0.8361, kb_relative_information_score: 1691.5015, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8532, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5725, scimark_benchmark: 2007.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.5154, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4758, scimark_benchmark: 2011.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9336, kappa: 0.9261, kb_relative_information_score: 1863.8013, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9345, predictive_accuracy: 0.9335, prior_entropy: 3.3219, recall: 0.9335, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781, scimark_benchmark: 2003.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.889, kappa: 0.8767, kb_relative_information_score: 1748.9533, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8895, predictive_accuracy: 0.889, prior_entropy: 3.3219, recall: 0.889, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4812, scimark_benchmark: 2012.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 1842.8823, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 3.3219, recall: 0.924, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.406, scimark_benchmark: 1986.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.977, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9783, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.966, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.2587, kappa: 0.2883, kb_relative_information_score: 437.9594, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3483, predictive_accuracy: 0.3595, prior_entropy: 3.3219, recall: 0.3595, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9432, scimark_benchmark: 920.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9402, kappa: 0.9333, kb_relative_information_score: 1875.4351, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9414, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.362, scimark_benchmark: 930.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 1946.3581, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1921, scimark_benchmark: 944.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9398, kappa: 0.9333, kb_relative_information_score: 1869.7203, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309, scimark_benchmark: 897.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9335, kappa: 0.9261, kb_relative_information_score: 1869.7117, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9339, predictive_accuracy: 0.9335, prior_entropy: 3.3219, recall: 0.9335, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3406, scimark_benchmark: 949.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8437, kappa: 0.8261, kb_relative_information_score: 1672.6779, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8444, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897, scimark_benchmark: 938.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9451, kappa: 0.9389, kb_relative_information_score: 1891.8113, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9459, predictive_accuracy: 0.945, prior_entropy: 3.3219, recall: 0.945, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3354, scimark_benchmark: 942.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9398, kappa: 0.9333, kb_relative_information_score: 1869.7203, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309, scimark_benchmark: 938.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1955.5112, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2159, scimark_benchmark: 879.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1766.0068, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.891, kappa: 0.8789, kb_relative_information_score: 1770.619, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745, scimark_benchmark: 944.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.891, kappa: 0.8789, kb_relative_information_score: 1770.619, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745, scimark_benchmark: 862.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8437, kappa: 0.8261, kb_relative_information_score: 1672.6779, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8444, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897, scimark_benchmark: 595.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9331, kappa: 0.9256, kb_relative_information_score: 1861.9694, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9342, predictive_accuracy: 0.933, prior_entropy: 3.3219, recall: 0.933, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3794, scimark_benchmark: 942.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8762, kappa: 0.8611, kb_relative_information_score: 1716.4297, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8815, predictive_accuracy: 0.875, prior_entropy: 3.3219, recall: 0.875, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4817, scimark_benchmark: 932.0071,
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: 0.9852, f_measure: 0.9423, kappa: 0.9361, kb_relative_information_score: 1882.0742, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9429, predictive_accuracy: 0.9425, prior_entropy: 3.3219, recall: 0.9425, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.3431, scimark_benchmark: 944.1668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1955.5903, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.2128, scimark_benchmark: 944.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 595.5046, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 934.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 1903.1746, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9514, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.093, root_relative_squared_error: 0.3101, scimark_benchmark: 904.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.938, kappa: 0.9311, kb_relative_information_score: 1772.1828, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9383, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3619, scimark_benchmark: 921.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1935.1481, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2421, scimark_benchmark: 897.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8437, kappa: 0.8261, kb_relative_information_score: 1672.6779, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8444, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897, scimark_benchmark: 894.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9609, kappa: 0.9567, kb_relative_information_score: 1914.2954, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2936, scimark_benchmark: 600.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9126, kappa: 0.9028, kb_relative_information_score: 1742.2375, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9135, predictive_accuracy: 0.9125, prior_entropy: 3.3219, recall: 0.9125, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4056, scimark_benchmark: 898.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 1925.0347, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9634, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2729, scimark_benchmark: 935.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 1930.7823, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.257, scimark_benchmark: 940.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 1826.888, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9709, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2925, scimark_benchmark: 918.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 1787.773, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.3248, scimark_benchmark: 942.5524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8897, kappa: 0.8772, kb_relative_information_score: 1769.5154, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3219, recall: 0.8895, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4758, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9786, kappa: 0.9761, kb_relative_information_score: 1955.0231, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9788, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9276, kappa: 0.9194, kb_relative_information_score: 1858.3573, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 3.3219, recall: 0.9275, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3708, scimark_benchmark: 948.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.028, kb_relative_information_score: 203.7632, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.02, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3528, root_relative_squared_error: 1.1759, scimark_benchmark: 595.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 1933.1281, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.2197, scimark_benchmark: 930.3014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1935.7704, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2404, scimark_benchmark: 936.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.891, kappa: 0.8789, kb_relative_information_score: 1770.619, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745, scimark_benchmark: 944.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9136, kappa: 0.9039, kb_relative_information_score: 1743.8151, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9146, predictive_accuracy: 0.9135, prior_entropy: 3.3219, recall: 0.9135, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.4045, scimark_benchmark: 915.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1928.7479, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108, scimark_benchmark: 945.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.3736, kappa: 0.3139, kb_relative_information_score: 845.8118, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3734, predictive_accuracy: 0.3825, prior_entropy: 3.3219, recall: 0.3825, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9622, scimark_benchmark: 943.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8843, kappa: 0.8711, kb_relative_information_score: 1737.8803, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.885, predictive_accuracy: 0.884, prior_entropy: 3.3219, recall: 0.884, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4888, scimark_benchmark: 886.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 1947.0927, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1914, scimark_benchmark: 926.0121,
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: 0.7192, f_measure: 0.1103, kappa: 0.1072, kb_relative_information_score: 441.9991, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0814, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, scimark_benchmark: 943.4674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3633, kappa: 0.3006, kb_relative_information_score: 683.3913, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3605, predictive_accuracy: 0.3705, prior_entropy: 3.3219, recall: 0.3705, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.1827, scimark_benchmark: 906.5436,

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