OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7595, kappa: 0.7667, kb_relative_information_score: 1603.7109, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8071, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7663, kappa: 0.7417, kb_relative_information_score: 1534.7962, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7676, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0495, kb_relative_information_score: 2.502, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8374, kappa: 0.82, kb_relative_information_score: 1672.6244, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8375, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, kappa: 0.2967, kb_relative_information_score: 366.7459, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.367, prior_entropy: 3.3219, recall: 0.367, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8122, kappa: 0.7928, kb_relative_information_score: 1638.867, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8121, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.7187, kappa: 0.6856, kb_relative_information_score: 1345.7417, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7215, predictive_accuracy: 0.717, prior_entropy: 3.3219, recall: 0.717, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6953, scimark_benchmark: 1403.7947, usercpu_time_millis: 52020, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 51280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.7349, kappa: 0.7133, kb_relative_information_score: 1438.1291, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288, scimark_benchmark: 1816.5644, usercpu_time_millis: 2460, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.3649, kappa: 0.3233, kb_relative_information_score: 790.2067, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3565, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 1441.1851, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8439, kappa: 0.8272, kb_relative_information_score: 1675.923, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8437, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8376, kappa: 0.82, kb_relative_information_score: 1656.3801, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8267, kappa: 0.8083, kb_relative_information_score: 1650.8927, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.827, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.834, kappa: 0.8167, kb_relative_information_score: 1670.7325, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8349, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2421, kb_relative_information_score: 13.1578, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8351, kappa: 0.8183, kb_relative_information_score: 1655.5888, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8122, kappa: 0.7922, kb_relative_information_score: 1604.6038, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8122, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8312, kappa: 0.8133, kb_relative_information_score: 1663.0328, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8313, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.771, kappa: 0.7472, kb_relative_information_score: 1538.4506, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7712, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7846, kappa: 0.7694, kb_relative_information_score: 1596.2856, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7894, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8521, kappa: 0.8356, kb_relative_information_score: 1667.4887, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8528, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7873, kappa: 0.7656, kb_relative_information_score: 1627.2893, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7869, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.7534, kappa: 0.7522, kb_relative_information_score: 1507.1741, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7679, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7866, kappa: 0.7656, kb_relative_information_score: 1631.5635, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7864, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.4463, kappa: 0.415, kb_relative_information_score: 614.2972, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4824, predictive_accuracy: 0.4735, prior_entropy: 3.3219, recall: 0.4735, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8642, kappa: 0.8489, kb_relative_information_score: 1679.9287, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8647, predictive_accuracy: 0.864, prior_entropy: 3.3219, recall: 0.864, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8339, kappa: 0.8161, kb_relative_information_score: 1669.9654, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.834, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0589, f_measure: 0.0046, kappa: -0.1061, kb_relative_information_score: -0.2913, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0065, predictive_accuracy: 0.0045, prior_entropy: 3.3219, recall: 0.0045, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2223, kappa: 0.0022, kb_relative_information_score: 0.6644, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.102, prior_entropy: 3.3219, recall: 0.102, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8577, kappa: 0.8417, kb_relative_information_score: 1668.7862, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8581, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8464, kappa: 0.83, kb_relative_information_score: 1682.5197, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8464, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7877, kappa: 0.7711, kb_relative_information_score: 1615.2914, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7935, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8529, kappa: 0.8367, kb_relative_information_score: 1666.8012, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8536, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7915, kappa: 0.77, kb_relative_information_score: 1623.1803, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0499, kb_relative_information_score: 14.7559, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8557, kappa: 0.8394, kb_relative_information_score: 1727.8164, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8563, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1667.2093, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.832, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0496, kb_relative_information_score: 1.474, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, kb_relative_information_score: 4.4147, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0505, kb_relative_information_score: 5.2676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7824, kappa: 0.7606, kb_relative_information_score: 1626.1501, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7815, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8409, kappa: 0.8233, kb_relative_information_score: 1641.7227, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8544, kappa: 0.8383, kb_relative_information_score: 1685.2618, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8547, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8657, kappa: 0.8506, kb_relative_information_score: 1687.5629, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8662, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8535, kappa: 0.8372, kb_relative_information_score: 1673.8344, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8543, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7922, kappa: 0.775, kb_relative_information_score: 1616.1043, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7973, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8641, kappa: 0.8489, kb_relative_information_score: 1674.9111, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 3.3219, recall: 0.864, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4711,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, kappa: 0.2822, kb_relative_information_score: 86.277, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1689.3754, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.575, kappa: 0.555, kb_relative_information_score: 1015.5474, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6041, predictive_accuracy: 0.5995, prior_entropy: 3.3219, recall: 0.5995, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7947, scimark_benchmark: 1519.2319, usercpu_time_millis: 430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8561, kappa: 0.8406, kb_relative_information_score: 1702.6308, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8566, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0504, kappa: -0.0044, kb_relative_information_score: 8.9096, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.096, prior_entropy: 3.3219, recall: 0.096, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8689, kappa: 0.8544, kb_relative_information_score: 1710.1727, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, kappa: 0.2428, kb_relative_information_score: 196.7451, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3185, prior_entropy: 3.3219, recall: 0.3185, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kappa: -0.0006, kb_relative_information_score: 8.1709, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.7325, kappa: 0.7022, kb_relative_information_score: 1445.6771, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7385, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8555, kappa: 0.8389, kb_relative_information_score: 1654.5449, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8565, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889,

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