Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 20291 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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20291 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 1978.2434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.7466, kappa: 0.7211, kb_relative_information_score: 1501.3625, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7447, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5953, scimark_benchmark: 1974.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7335, kappa: 0.705, kb_relative_information_score: 1516.1072, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7334, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6757, scimark_benchmark: 1980.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 2008.3916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.2595, kappa: 0.1878, kb_relative_information_score: 471.1025, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2627, predictive_accuracy: 0.269, prior_entropy: 3.3219, recall: 0.269, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.2745, scimark_benchmark: 2013.628,
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: 2019.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8215, kappa: 0.8056, kb_relative_information_score: 574.1565, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 2015.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.6874, kappa: 0.6511, kb_relative_information_score: 1388.6458, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.686, prior_entropy: 3.3219, recall: 0.686, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6981, scimark_benchmark: 2016.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7114, kappa: 0.68, kb_relative_information_score: 1403.4979, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7128, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.7905, scimark_benchmark: 941.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.6839, kappa: 0.6689, kb_relative_information_score: 122.3245, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7349, predictive_accuracy: 0.702, prior_entropy: 3.3219, recall: 0.702, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9829, scimark_benchmark: 945.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7553, kappa: 0.7328, kb_relative_information_score: 554.7747, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7597, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 947.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.3497, kappa: 0.3939, kb_relative_information_score: 546.37, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4746, predictive_accuracy: 0.4545, prior_entropy: 3.3219, recall: 0.4545, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9281, scimark_benchmark: 947.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.7998, kappa: 0.7767, kb_relative_information_score: 133.4891, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8009, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9814, scimark_benchmark: 946.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8167, kappa: 0.8, kb_relative_information_score: 1680.0672, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4919, scimark_benchmark: 946.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.6909, kappa: 0.6656, kb_relative_information_score: 1399.5246, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6909, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6857, scimark_benchmark: 945.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8088, kappa: 0.7867, kb_relative_information_score: 573.6237, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8097, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.913, scimark_benchmark: 948.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.795, kappa: 0.7833, kb_relative_information_score: 1695.047, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7929, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5195, scimark_benchmark: 944.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8258, kappa: 0.8067, kb_relative_information_score: 575.6127, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8258, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9125, scimark_benchmark: 908.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.0854, kappa: 0.0072, kb_relative_information_score: 157.2779, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.371, predictive_accuracy: 0.1065, prior_entropy: 3.3219, recall: 0.1065, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.012, scimark_benchmark: 931.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8093, kappa: 0.7939, kb_relative_information_score: 1683.7413, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8063, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4912, scimark_benchmark: 944.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 1698.8451, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, scimark_benchmark: 947.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.687, kappa: 0.6667, kb_relative_information_score: 1393.3201, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6902, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.684, scimark_benchmark: 948.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8099, kappa: 0.7961, kb_relative_information_score: 1702.2068, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8087, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4877, scimark_benchmark: 946.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8048, kappa: 0.785, kb_relative_information_score: 1703.8418, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8042, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5042, scimark_benchmark: 944.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8183, kappa: 0.7972, kb_relative_information_score: 573.9414, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8192, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 940.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8376, kappa: 0.8194, kb_relative_information_score: 577.0137, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8378, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9121, scimark_benchmark: 936.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 1515.8988, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, scimark_benchmark: 946.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8109, kappa: 0.7928, kb_relative_information_score: 1696.4889, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.809, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.49, scimark_benchmark: 946.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7066, kappa: 0.6756, kb_relative_information_score: 1462.254, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7062, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7158, scimark_benchmark: 931.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.6697, kappa: 0.6428, kb_relative_information_score: 1347.862, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6682, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6969, scimark_benchmark: 945.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.6944, kappa: 0.665, kb_relative_information_score: 1405.0659, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6927, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6832, scimark_benchmark: 945.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7047, kappa: 0.675, kb_relative_information_score: 1458.1079, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7042, predictive_accuracy: 0.7075, prior_entropy: 3.3219, recall: 0.7075, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.723, scimark_benchmark: 938.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7055, kappa: 0.6761, kb_relative_information_score: 1457.6923, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7048, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7221, scimark_benchmark: 946.1026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.6401, kappa: 0.5983, kb_relative_information_score: 1243.9173, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6424, predictive_accuracy: 0.6385, prior_entropy: 3.3219, recall: 0.6385, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8963, scimark_benchmark: 947.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 1698.8451, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, scimark_benchmark: 911.2619,
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: 949.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.6921, kappa: 0.6633, kb_relative_information_score: 1398.7032, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6912, predictive_accuracy: 0.697, prior_entropy: 3.3219, recall: 0.697, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6854, scimark_benchmark: 944.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7806, kappa: 0.7539, kb_relative_information_score: 1610.2845, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7828, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5908, scimark_benchmark: 947.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7057, kappa: 0.6761, kb_relative_information_score: 1457.946, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7052, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7215, scimark_benchmark: 947.3013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.0655, kappa: -0.0011, kb_relative_information_score: 160.5427, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4412, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0221, scimark_benchmark: 943.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.6503, kappa: 0.6133, kb_relative_information_score: 1334.534, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6493, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7692, scimark_benchmark: 946.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 938.5755,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.7292, kappa: 0.7022, kb_relative_information_score: 1453.1394, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7287, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 910.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8043, kappa: 0.7856, kb_relative_information_score: 569.2006, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8026, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9151, scimark_benchmark: 947.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.6968, kappa: 0.6689, kb_relative_information_score: 1449.0429, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6966, predictive_accuracy: 0.702, prior_entropy: 3.3219, recall: 0.702, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888, scimark_benchmark: 946.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.0721, kappa: 0.0167, kb_relative_information_score: 164.2536, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4527, predictive_accuracy: 0.115, prior_entropy: 3.3219, recall: 0.115, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.021, scimark_benchmark: 947.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8352, kappa: 0.82, kb_relative_information_score: 576.2407, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 950.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7274, kappa: 0.7, kb_relative_information_score: 1456.9929, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6076, scimark_benchmark: 948.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 1515.8988, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, scimark_benchmark: 911.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7342, kappa: 0.7078, kb_relative_information_score: 1463.6128, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.812, kappa: 0.7956, kb_relative_information_score: 1692.8598, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8107, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4896, scimark_benchmark: 896.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8223, kappa: 0.8017, kb_relative_information_score: 574.7934, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 947.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.6682, kappa: 0.6389, kb_relative_information_score: 1353.9283, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6662, predictive_accuracy: 0.675, prior_entropy: 3.3219, recall: 0.675, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6974, scimark_benchmark: 948.6426,
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: 922.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8341, kappa: 0.8178, kb_relative_information_score: 576.6486, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129, scimark_benchmark: 901.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8063, kappa: 0.7839, kb_relative_information_score: 573.4101, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8072, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9131, scimark_benchmark: 949.2015,

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