OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23663 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9042, kappa: 0.8946, kb_relative_information_score: 9970.6899, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9058, predictive_accuracy: 0.9051, prior_entropy: 3.3208, recall: 0.9051, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4283, scimark_benchmark: 1344.7072, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8163, kappa: 0.797, kb_relative_information_score: 8369.0858, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8184, predictive_accuracy: 0.8173, prior_entropy: 3.3208, recall: 0.8173, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593, scimark_benchmark: 1283.5219, usercpu_time_millis: 6510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9848, kappa: 0.9831, kb_relative_information_score: 10827.3704, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 3.3208, recall: 0.9848, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1737, scimark_benchmark: 1415.114, usercpu_time_millis: 100140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9538, kappa: 0.9486, kb_relative_information_score: 10135.8319, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.3208, recall: 0.9538, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3044, scimark_benchmark: 1394.0131, usercpu_time_millis: 54900, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 52790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.956, kappa: 0.9512, kb_relative_information_score: 10486.6371, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3208, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125, scimark_benchmark: 1346.2851, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9549, kappa: 0.9499, kb_relative_information_score: 10397.9502, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 3.3208, recall: 0.9549, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3002, scimark_benchmark: 1272.4448, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 10585.2524, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3208, recall: 0.9658, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.268, scimark_benchmark: 1214.1851, usercpu_time_millis: 670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9541, kappa: 0.9489, kb_relative_information_score: 10387.9174, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 3.3208, recall: 0.9541, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2828, scimark_benchmark: 1394.1409, usercpu_time_millis: 17680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 17630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 10071.3443, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 3.3208, recall: 0.9525, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3112, scimark_benchmark: 1314.2825, usercpu_time_millis: 35250, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 33410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9514, kappa: 0.946, kb_relative_information_score: 10433.5641, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9515, predictive_accuracy: 0.9514, prior_entropy: 3.3208, recall: 0.9514, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.3286, scimark_benchmark: 1390.157, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 10562.1168, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 3.3208, recall: 0.964, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.275, scimark_benchmark: 1363.9803, usercpu_time_millis: 870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9431, kappa: 0.9369, kb_relative_information_score: 10239.5264, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 3.3208, recall: 0.9432, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3151, scimark_benchmark: 1313.0667, usercpu_time_millis: 18990, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 18950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1454.2427, usercpu_time_millis: 3480, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3605, kappa: 0.3161, kb_relative_information_score: 3910.044, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3674, predictive_accuracy: 0.3854, prior_entropy: 3.3208, recall: 0.3854, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1688, scimark_benchmark: 1333.8275, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9857, kappa: 0.9841, kb_relative_information_score: 10832.2054, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 3.3208, recall: 0.9857, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1724, scimark_benchmark: 1441.0173, usercpu_time_millis: 41950, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 41770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9845, kappa: 0.9828, kb_relative_information_score: 10834.6166, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 3.3208, recall: 0.9845, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1723, scimark_benchmark: 1520.0126, usercpu_time_millis: 3570, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9536, kappa: 0.9483, kb_relative_information_score: 10457.6204, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 3.3208, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3214, scimark_benchmark: 1544.1128, usercpu_time_millis: 650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9813, kappa: 0.9792, kb_relative_information_score: 10781.9006, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 3.3208, recall: 0.9813, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1964, scimark_benchmark: 1419.5949, usercpu_time_millis: 1710, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1504.1141, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.3566, kappa: 0.3211, kb_relative_information_score: 3959.6087, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3661, predictive_accuracy: 0.39, prior_entropy: 3.3208, recall: 0.39, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3493, root_relative_squared_error: 1.1644, scimark_benchmark: 1371.0701, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 1612.7869, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9763, kb_relative_information_score: 10550.8711, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 3.3208, recall: 0.9787, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2172, scimark_benchmark: 1395.9931, usercpu_time_millis: 1040, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 9388.8661, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336, scimark_benchmark: 1617.6842, usercpu_time_millis: 570, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 1474.848, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9799, kappa: 0.9777, kb_relative_information_score: 3287.8104, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 3.3208, recall: 0.9799, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9066, scimark_benchmark: 1541.5622, usercpu_time_millis: 830, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 1279.1269, usercpu_time_millis: 7740, usercpu_time_millis_testing: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9649, kappa: 0.961, kb_relative_information_score: 10548.673, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.3208, recall: 0.9649, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2734, scimark_benchmark: 1399.2687, usercpu_time_millis: 5540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10677.7635, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.163, scimark_benchmark: 1450.792, usercpu_time_millis: 4280, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1515.6001, usercpu_time_millis: 550, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 1659.6452, usercpu_time_millis: 12240, usercpu_time_millis_testing: 6080, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9895, kappa: 0.9884, kb_relative_information_score: 10880.6264, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 3.3208, recall: 0.9895, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1443, scimark_benchmark: 1344.9176, usercpu_time_millis: 4710, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 6979.5186, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, scimark_benchmark: 1388.3628, usercpu_time_millis: 11560, usercpu_time_millis_testing: 3510, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3605, kappa: 0.3161, kb_relative_information_score: 3910.044, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3674, predictive_accuracy: 0.3854, prior_entropy: 3.3208, recall: 0.3854, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1688, scimark_benchmark: 1661.88, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9574, kappa: 0.9526, kb_relative_information_score: 10502.3769, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 3.3208, recall: 0.9573, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.308, scimark_benchmark: 1888.658, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 10866.7399, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 3.3208, recall: 0.9889, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1481, scimark_benchmark: 1382.7975, usercpu_time_millis: 1520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.0755, kappa: 0.1135, kb_relative_information_score: 2438.3167, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0554, predictive_accuracy: 0.2057, prior_entropy: 3.3208, recall: 0.2057, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9601, scimark_benchmark: 1238.2298, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
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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