Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 279 Supervised Classification tic-tac-toe 389 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1332.4146, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.8054, kappa: 0.5857, kb_relative_information_score: 186.8496, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8052, predictive_accuracy: 0.807, prior_entropy: 0.9312, recall: 0.807, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9014, scimark_benchmark: 906.4475, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.471, kb_relative_information_score: 3.419, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.3808, predictive_accuracy: 0.6171, prior_entropy: 0.9312, recall: 0.6171, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0038, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.471, kb_relative_information_score: 3.0624, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.3808, predictive_accuracy: 0.6171, prior_entropy: 0.9312, recall: 0.6171, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0033, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9033, kappa: 0.7933, kb_relative_information_score: 258.1568, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9082, predictive_accuracy: 0.9051, prior_entropy: 0.9312, recall: 0.9051, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6321, scimark_benchmark: 1339.4964, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 985.4928, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 994.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8144, kappa: 0.6104, kb_relative_information_score: 191.4501, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8169, predictive_accuracy: 0.8133, prior_entropy: 0.9312, recall: 0.8133, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8865, scimark_benchmark: 1315.395, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.872, kappa: 0.742, kb_relative_information_score: 232.8542, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9031, predictive_accuracy: 0.8703, prior_entropy: 0.9312, recall: 0.8703, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.739, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.471, kb_relative_information_score: 3.0624, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.3808, predictive_accuracy: 0.6171, prior_entropy: 0.9312, recall: 0.6171, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0033, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, build_cpu_time: 0.078, build_memory: 1164894008, f_measure: 0.9778, kappa: 0.9528, kb_relative_information_score: 310.8426, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2933, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.099, build_memory: 88659000, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 315.1659, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2556, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.099, build_memory: 756596744, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.5685, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1517, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.025, build_memory: 101107096, f_measure: 0.9395, kappa: 0.8714, kb_relative_information_score: 285.9108, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 0.9312, recall: 0.9399, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.425, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.131, build_memory: 1345502040, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.5685, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1517, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 0.308, build_memory: 71605928, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9617, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2308, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.112, build_memory: 420007088, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.5685, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1517, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7213, kappa: 0.4053, kb_relative_information_score: 127.0436, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7205, predictive_accuracy: 0.7247, prior_entropy: 0.9312, recall: 0.7247, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0765, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.11, build_memory: 323439944, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.5685, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1517, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.117, build_memory: 916997008, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.5685, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1517, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 1.758, build_memory: 728385336, f_measure: 0.9713, kappa: 0.9391, kb_relative_information_score: 293.6618, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9722, predictive_accuracy: 0.9715, prior_entropy: 0.9312, recall: 0.9715, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.313, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 13.248, build_memory: 1085209752, f_measure: 0.9937, kappa: 0.9866, kb_relative_information_score: 322.7118, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.1557, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 6.736, build_memory: 1063069016, f_measure: 0.9968, kappa: 0.9933, kb_relative_information_score: 323.996, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 0.9312, recall: 0.9968, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1213, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2.94, build_memory: 133694576, f_measure: 0.9905, kappa: 0.9798, kb_relative_information_score: 320.6506, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9907, predictive_accuracy: 0.9905, prior_entropy: 0.9312, recall: 0.9905, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1553, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.989, build_memory: 74775104, f_measure: 0.9268, kappa: 0.8443, kb_relative_information_score: 258.6331, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.429, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 2.075, build_memory: 689659088, f_measure: 0.981, kappa: 0.9597, kb_relative_information_score: 310.8181, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9312, recall: 0.981, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2546, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 2.337, build_memory: 1232266320, f_measure: 0.981, kappa: 0.9597, kb_relative_information_score: 310.8181, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9312, recall: 0.981, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2546, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 138.391, build_memory: 712760768, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 245.7207, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3804, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.317, build_memory: 1983916232, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 310.443, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.213, scimark_benchmark: 944.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 0.865, build_memory: 1329902328, f_measure: 0.9254, kappa: 0.8402, kb_relative_information_score: 167.5111, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9349, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6141, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 5.62, build_memory: 1099373000, f_measure: 0.9187, kappa: 0.8258, kb_relative_information_score: 164.3846, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9299, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6222, scimark_benchmark: 940.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 2.354, build_memory: 2893210464, f_measure: 0.9187, kappa: 0.8258, kb_relative_information_score: 165.5969, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9299, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6196, scimark_benchmark: 942.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 4.259, build_memory: 322484920, f_measure: 0.9745, kappa: 0.9457, kb_relative_information_score: 228.5273, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9757, predictive_accuracy: 0.9747, prior_entropy: 0.9312, recall: 0.9747, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4375, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 0.002, build_memory: 1026664360, f_measure: 0.7213, kappa: 0.4053, kb_relative_information_score: 90.5334, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7205, predictive_accuracy: 0.7247, prior_entropy: 0.9312, recall: 0.7247, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0127, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 1.154, build_memory: 1012808912, f_measure: 0.9221, kappa: 0.833, kb_relative_information_score: 165.2387, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9324, predictive_accuracy: 0.9241, prior_entropy: 0.9312, recall: 0.9241, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6212, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.823, build_memory: 451078552, f_measure: 0.9905, kappa: 0.9798, kb_relative_information_score: 319.7063, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9907, predictive_accuracy: 0.9905, prior_entropy: 0.9312, recall: 0.9905, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1967, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, build_cpu_time: 0.028, build_memory: 1360060752, f_measure: 0.742, kappa: 0.4464, kb_relative_information_score: 56.6444, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7531, predictive_accuracy: 0.7532, prior_entropy: 0.9312, recall: 0.7532, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9032, scimark_benchmark: 940.8364,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.877, kappa: 0.7409, kb_relative_information_score: 231.9106, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8779, predictive_accuracy: 0.8766, prior_entropy: 0.9312, recall: 0.8766, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5894, scimark_benchmark: 1339.4189, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7213, kappa: 0.4053, kb_relative_information_score: 51.2897, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7205, predictive_accuracy: 0.7247, prior_entropy: 0.9312, recall: 0.7247, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9261, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9842, kappa: 0.9665, kb_relative_information_score: 310.9202, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2569, scimark_benchmark: 906.4475, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 242.9107, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3922, scimark_benchmark: 1356.2994, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 1321.8733, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 1345.1228, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 916.0735, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 938.1282,

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