Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 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_98 study_99 under100k under1m
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21750 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 7.668, build_memory: 2376885543.2, f_measure: 0.9492, kappa: 0.9435, kb_relative_information_score: 5099.3117, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9493, predictive_accuracy: 0.9491, prior_entropy: 3.3218, recall: 0.9491, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3217, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 14.773, build_memory: 1828430392.8, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 5102.5872, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 3.3218, recall: 0.9509, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3187, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 15.9363, build_memory: 1253677140, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 5102.5872, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 3.3218, recall: 0.9509, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3187, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 30.1136, build_memory: 2888670099.2, f_measure: 0.9509, kappa: 0.9454, kb_relative_information_score: 5103.1462, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 3.3218, recall: 0.9509, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.3175, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 161.9106, build_memory: 3337498048, f_measure: 0.9861, kappa: 0.9846, kb_relative_information_score: 1680.9218, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9049, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 40.54, build_memory: 2383187615.2, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 1680.9087, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 3.3218, recall: 0.9847, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9049, scimark_benchmark: 939.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 21.0765, build_memory: 402253185.6, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 1680.9451, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9049, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 10.4492, build_memory: 393830202.4, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 1680.9431, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.905, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 10.9475, build_memory: 277401328.8, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 1680.9431, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.905, scimark_benchmark: 933.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, build_cpu_time: 0.0049, build_memory: 142526979.2, f_measure: 0.8112, kappa: 0.8007, kb_relative_information_score: 4565.1099, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8473, predictive_accuracy: 0.8206, prior_entropy: 3.3218, recall: 0.8206, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6313, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, build_cpu_time: 0.0214, build_memory: 149641697.6, f_measure: 0.8112, kappa: 0.8007, kb_relative_information_score: 4565.1099, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8473, predictive_accuracy: 0.8206, prior_entropy: 3.3218, recall: 0.8206, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6313, scimark_benchmark: 943.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.0631, build_memory: 166721936, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, build_cpu_time: 0.6512, build_memory: 456433101.6, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, build_cpu_time: 0.0775, build_memory: 598027363.2, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.079, build_memory: 79203157.6, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 1.9079, build_memory: 852606316, f_measure: 0.941, kappa: 0.9344, kb_relative_information_score: 5083.5353, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 3.3218, recall: 0.9409, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3381, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 2.0188, build_memory: 532167013.6, f_measure: 0.941, kappa: 0.9344, kb_relative_information_score: 5083.5353, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 3.3218, recall: 0.9409, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3381, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.0633, build_memory: 189456128.8, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.0612, build_memory: 154887217.6, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 28.126, build_memory: 400231156.8, f_measure: 0.9428, kappa: 0.9365, kb_relative_information_score: 5286.5179, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9428, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3538, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 1.0529, build_memory: 598265593.6, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 1681.9086, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 7.7368, build_memory: 174310475.2, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1677.9014, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3218, recall: 0.971, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.0009, build_memory: 141006156.8, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 6.4368, build_memory: 731705022.4, f_measure: 0.9088, kappa: 0.8982, kb_relative_information_score: 5032.2821, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9097, predictive_accuracy: 0.9084, prior_entropy: 3.3218, recall: 0.9084, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.436, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.8863, build_memory: 1038628936.8, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.2116, build_memory: 432085837.6, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 27.9644, build_memory: 2146069677.6, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 5470.9568, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2265, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.0622, build_memory: 436106144, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, build_cpu_time: 0.0604, build_memory: 946147120.8, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 5.8659, build_memory: 249450546.4, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 5.6106, build_memory: 172464088, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 98.2676, build_memory: 180385510.4, f_measure: 0.9861, kappa: 0.9846, kb_relative_information_score: 5538.7846, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.175, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 53.7066, build_memory: 852651929.6, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 5541.6987, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1707, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 27.9758, build_memory: 752625908.8, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5528.4095, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1848, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 6.3239, build_memory: 944270090.4, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5478.036, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, recall: 0.9735, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2259, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 48.9523, build_memory: 652044881.6, f_measure: 0.9715, kappa: 0.9682, kb_relative_information_score: 5461.1284, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 3.3218, recall: 0.9714, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2388, scimark_benchmark: 930.5854,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 4.8896, build_memory: 873293569.6, f_measure: 0.9769, kappa: 0.9743, kb_relative_information_score: 5491.4164, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 3.3218, recall: 0.9769, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2109, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 2.222, build_memory: 778423732.8, f_measure: 0.9699, kappa: 0.9666, kb_relative_information_score: 5444.6205, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 3.3218, recall: 0.9699, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.236, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 14.1597, build_memory: 572312494.4, f_measure: 0.9804, kappa: 0.9783, kb_relative_information_score: 5509.1519, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 3.3218, recall: 0.9804, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.061, root_relative_squared_error: 0.2033, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 30.004, build_memory: 817042013.6, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 5504.0484, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 3.3218, recall: 0.9801, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2087, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 56.4274, build_memory: 468961144.8, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 5498.9645, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3218, recall: 0.9792, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2135, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 69.6159, build_memory: 1067435666.4, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 5494.5103, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2174, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 64.9412, build_memory: 581355562.4, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 5494.5103, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2174, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1677.9014, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3218, recall: 0.971, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 934.5243, usercpu_time_millis: 37430, usercpu_time_millis_testing: 28880, usercpu_time_millis_training: 8550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 5470.9568, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2265, scimark_benchmark: 930.32, usercpu_time_millis: 33180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 33150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9861, kappa: 0.9846, kb_relative_information_score: 5538.7846, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.175, scimark_benchmark: 1078.4764, usercpu_time_millis: 161440, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 158120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 5541.6987, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1707, scimark_benchmark: 915.2795, usercpu_time_millis: 66360, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 65420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5528.4095, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1848, scimark_benchmark: 939.2687, usercpu_time_millis: 31270, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 30890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.1597, kappa: 0.0902, kb_relative_information_score: 620.931, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9095, predictive_accuracy: 0.1827, prior_entropy: 3.3218, recall: 0.1827, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.003, scimark_benchmark: 917.7039, usercpu_time_millis: 264150, usercpu_time_millis_testing: 210390, usercpu_time_millis_training: 53760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 5206.3627, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9505, predictive_accuracy: 0.9505, prior_entropy: 3.3218, recall: 0.9505, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.305, scimark_benchmark: 901.0726, usercpu_time_millis: 209300, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 209020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9715, kappa: 0.9684, kb_relative_information_score: 5239.7249, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 3.3218, recall: 0.9715, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.2694, scimark_benchmark: 943.2817, usercpu_time_millis: 16270, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 15560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 335.1038, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9179, kappa: 0.9087, kb_relative_information_score: 5027.5954, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9183, predictive_accuracy: 0.9178, prior_entropy: 3.3218, recall: 0.9178, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.373, scimark_benchmark: 947.9494, usercpu_time_millis: 6500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8779, kappa: 0.8646, kb_relative_information_score: 4833.9187, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.878, predictive_accuracy: 0.8781, prior_entropy: 3.3218, recall: 0.8781, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.449, scimark_benchmark: 938.9865, usercpu_time_millis: 1510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9718, kappa: 0.9688, kb_relative_information_score: 5179.8936, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 3.3218, recall: 0.9719, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2957, scimark_benchmark: 902.4773, usercpu_time_millis: 620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9179, kappa: 0.9087, kb_relative_information_score: 5027.5954, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9183, predictive_accuracy: 0.9178, prior_entropy: 3.3218, recall: 0.9178, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.373, scimark_benchmark: 932.3943, usercpu_time_millis: 6710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9481, kappa: 0.9423, kb_relative_information_score: 5272.3843, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 3.3218, recall: 0.948, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2954, scimark_benchmark: 931.2336, usercpu_time_millis: 13890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9662, kappa: 0.9624, kb_relative_information_score: 5395.9483, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9663, predictive_accuracy: 0.9662, prior_entropy: 3.3218, recall: 0.9662, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2439, scimark_benchmark: 932.3943, usercpu_time_millis: 26840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 26830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 5455.2986, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.221, scimark_benchmark: 933.8635, usercpu_time_millis: 79710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 79690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5476.1761, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, recall: 0.9735, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2172, scimark_benchmark: 933.8635, usercpu_time_millis: 160670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160650,

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