OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 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: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 910.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 944.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 909.3949, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3111, scimark_benchmark: 949.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7085, kappa: 0.3413, kb_relative_information_score: 220.1053, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7125, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8662, scimark_benchmark: 2010.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, build_cpu_time: 0.0072, build_memory: 683072789.5115, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.1012, build_memory: 604200994.096, f_measure: 0.9654, kappa: 0.9235, kb_relative_information_score: 827.923, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3445, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 2.8077, build_memory: 802397008.9186, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 933.2494, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2116, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 6.5417, build_memory: 931579477.9123, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 939.3252, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1903, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0047, build_memory: 500138550.1628, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, build_cpu_time: 0.0004, build_memory: 822812736.5679, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0305, build_memory: 1431228130.4969, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 287993989.1608, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 294223066.3883, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, build_cpu_time: 0.0005, build_memory: 204495036.4259, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.1254, build_memory: 156254374.3215, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, build_cpu_time: 0.3815, build_memory: 1291529400.6347, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.042, build_memory: 671796960.5679, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.2107, build_memory: 877065532.4509, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0002, build_memory: 679285888.3591, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 0.0437, build_memory: 441757794.3466, f_measure: 0.978, kappa: 0.9513, kb_relative_information_score: 893.1044, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3035, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.0126, build_memory: 55027149.0856, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.012, build_memory: 226238727.3737, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, build_cpu_time: 0.0011, build_memory: 512678297.0021, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 1.6172, build_memory: 672839934.714, f_measure: 0.9739, kappa: 0.9424, kb_relative_information_score: 897.724, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9559, kappa: 0.902, kb_relative_information_score: 736.0601, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9563, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4432, scimark_benchmark: 932.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.8585, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 944.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 897.2973, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2722, scimark_benchmark: 946.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6895, kappa: 0.2988, kb_relative_information_score: 179.1238, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6901, predictive_accuracy: 0.7035, prior_entropy: 0.9312, recall: 0.7035, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9029, scimark_benchmark: 936.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 923.1963, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629, scimark_benchmark: 927.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9645, kappa: 0.9217, kb_relative_information_score: 871.9698, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3763, scimark_benchmark: 940.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.695, kappa: 0.3101, kb_relative_information_score: 326.1253, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7003, predictive_accuracy: 0.7129, prior_entropy: 0.9312, recall: 0.7129, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0075, scimark_benchmark: 942.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 947.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9213, kappa: 0.8253, kb_relative_information_score: 777.5874, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9213, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.809, kappa: 0.5731, kb_relative_information_score: 419.3491, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.809, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7747, scimark_benchmark: 941.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.052, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 902.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8037, kappa: 0.5644, kb_relative_information_score: 436.1879, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7706, scimark_benchmark: 933.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.958, kappa: 0.9069, kb_relative_information_score: 739.292, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4376, scimark_benchmark: 921.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 947.265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.979, kappa: 0.9536, kb_relative_information_score: 900.2121, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2644, scimark_benchmark: 938.9865, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.902, kappa: 0.7795, kb_relative_information_score: 504.3395, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9103, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6096, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 415.0361, build_memory: 170427923.3236, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.86, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8837, kappa: 0.7394, kb_relative_information_score: 668.7031, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 0.9312, recall: 0.8862, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.568, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8847, kappa: 0.7416, kb_relative_information_score: 679.5012, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8882, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.563, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8966, kappa: 0.7684, kb_relative_information_score: 712.6637, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8999, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5966, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7111, kappa: 0.3472, kb_relative_information_score: 364.0616, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7149, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.0267, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8165, kappa: 0.5855, kb_relative_information_score: 359.6668, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7406, scimark_benchmark: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 682.4175, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4237, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6874, kappa: 0.2982, kb_relative_information_score: 271.5573, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6848, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0345, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 940.3346, usercpu_time_millis: 5710, usercpu_time_millis_training: 5710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.756, kappa: 0.4479, kb_relative_information_score: 437.8993, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9028, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7978, kappa: 0.5424, kb_relative_information_score: 529.3994, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8239, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7917, scimark_benchmark: 942.1229, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6874, kappa: 0.2954, kb_relative_information_score: 316.41, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0124, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7286, kappa: 0.3864, kb_relative_information_score: 389.7528, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7529, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9481, scimark_benchmark: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7512, kappa: 0.4378, kb_relative_information_score: 451.7532, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7596, predictive_accuracy: 0.7641, prior_entropy: 0.9312, recall: 0.7641, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9264, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7562, kappa: 0.4489, kb_relative_information_score: 271.5329, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.766, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.823, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7085, kappa: 0.3413, kb_relative_information_score: 220.1053, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7125, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8662, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs