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: 0.9699, 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: 0.9781, 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: 1991.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8771, kappa: 0.8628, kb_relative_information_score: 1705.3485, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8788, predictive_accuracy: 0.8765, prior_entropy: 3.3219, recall: 0.8765, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4866, scimark_benchmark: 1989.9108,
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: 0.9954, 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: 0.9181, 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: 0.5, 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: 0.9941, 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: 0.9954, 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: 0.9248, f_measure: 0.8529, kappa: 0.8361, kb_relative_information_score: 1692.1136, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8575, 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: 0.1713, root_relative_squared_error: 0.571, scimark_benchmark: 947.6766,
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: 949.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8068, kappa: 0.7922, kb_relative_information_score: 976.3266, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.8153, scimark_benchmark: 936.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 593.0416, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.909, scimark_benchmark: 920.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8065, kappa: 0.7844, kb_relative_information_score: 1592.6796, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8079, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6144, scimark_benchmark: 878.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.3802, kappa: 0.3211, kb_relative_information_score: 722.0843, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3798, predictive_accuracy: 0.389, prior_entropy: 3.3219, recall: 0.389, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.1652, scimark_benchmark: 941.479,
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: 911.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9594, kappa: 0.955, kb_relative_information_score: 1918.1269, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9599, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.252, scimark_benchmark: 944.1395,
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: 0.9712, 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: 0.9976, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 1783.5562, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3356, scimark_benchmark: 935.5065,
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: 910.25,
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: 945.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 1927.9248, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9577, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.258, scimark_benchmark: 911.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 1778.7226, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9523, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.3419, scimark_benchmark: 940.6277,
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: 0.9614, 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: 0.9118, f_measure: 0.7498, kappa: 0.6578, kb_relative_information_score: 480.2558, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9146, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9399, scimark_benchmark: 944.5381,
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: 0.994, 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: 0.9945, 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: 0.9965, 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: 0.9934, 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,
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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: 0.9546, 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: 0.5536, 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: 0.8506, f_measure: 0.6345, kappa: 0.545, kb_relative_information_score: 418.4855, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8041, predictive_accuracy: 0.5905, prior_entropy: 3.3219, recall: 0.5905, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9547, scimark_benchmark: 950.942,
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: 945.1921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.044, kappa: 0.0144, kb_relative_information_score: 161.9482, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.113, prior_entropy: 3.3219, recall: 0.113, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0212, scimark_benchmark: 911.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 1948.809, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9743, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.2273, scimark_benchmark: 935.5779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 597.3723, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 940.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.393, kappa: 0.3356, kb_relative_information_score: 749.274, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3959, predictive_accuracy: 0.402, prior_entropy: 3.3219, recall: 0.402, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3458, root_relative_squared_error: 1.1528, scimark_benchmark: 945.3113,
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: 944.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 597.3723, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 941.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9456, kappa: 0.9394, kb_relative_information_score: 1773.4606, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.946, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3518, scimark_benchmark: 947.7809,
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,

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