OpenML
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: 0.9825, 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: 0.9494, 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: 0.7909, f_measure: 0.7108, kappa: 0.3834, kb_relative_information_score: 76.0638, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7454, predictive_accuracy: 0.7342, prior_entropy: 0.9312, recall: 0.7342, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.873, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8207, kappa: 0.6236, kb_relative_information_score: 196.0505, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8232, predictive_accuracy: 0.8196, prior_entropy: 0.9312, recall: 0.8196, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8713, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.7168, kappa: 0.407, kb_relative_information_score: 82.3856, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8162, predictive_accuracy: 0.7532, prior_entropy: 0.9312, recall: 0.7532, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.826, scimark_benchmark: 1330.0694, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7608, kappa: 0.4908, kb_relative_information_score: 91.5213, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8136, predictive_accuracy: 0.7816, prior_entropy: 0.9312, recall: 0.7816, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8087, scimark_benchmark: 938.9967, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8986, kappa: 0.7825, kb_relative_information_score: 165.8462, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9132, predictive_accuracy: 0.9019, prior_entropy: 0.9312, recall: 0.9019, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6381, scimark_benchmark: 882.7843, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.74, kappa: 0.4466, kb_relative_information_score: 104.8277, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7878, predictive_accuracy: 0.7627, prior_entropy: 0.9312, recall: 0.7627, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8391, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9681, kappa: 0.932, kb_relative_information_score: 240.037, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9699, predictive_accuracy: 0.9684, prior_entropy: 0.9312, recall: 0.9684, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4388, scimark_benchmark: 918.6005, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8642, kappa: 0.7085, kb_relative_information_score: 182.4281, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8871, predictive_accuracy: 0.8703, prior_entropy: 0.9312, recall: 0.8703, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6171, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.7641, kappa: 0.4961, kb_relative_information_score: 132.7056, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8032, predictive_accuracy: 0.7816, prior_entropy: 0.9312, recall: 0.7816, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7419, scimark_benchmark: 1336.2509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7416, kappa: 0.4511, kb_relative_information_score: 110.5482, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7978, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8204, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.698, kappa: 0.3527, kb_relative_information_score: 94.0438, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7126, predictive_accuracy: 0.7152, prior_entropy: 0.9312, recall: 0.7152, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8324, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 930.5999, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 937.6212, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6809, kappa: 0.3159, kb_relative_information_score: 101.7411, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.6818, predictive_accuracy: 0.6899, prior_entropy: 0.9312, recall: 0.6899, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1425, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9628, 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: 1313.9994, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.471, kb_relative_information_score: 48.8357, mean_absolute_error: 0.3829, 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: 0.825, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.2695, scimark_benchmark: 912.5006, usercpu_time_millis: 710, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9628, 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: 916.5955, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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: 1304.9611, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9628, 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: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 264.4651, mean_absolute_error: 0.1098, 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: 0.2366, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3348, scimark_benchmark: 924.1296, usercpu_time_millis: 42490, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 42080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.7533, kappa: 0.4733, kb_relative_information_score: 106.6399, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7924, predictive_accuracy: 0.7722, prior_entropy: 0.9312, recall: 0.7722, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8015, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 1346.9602, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
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: 1307.4861, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.802, kappa: 0.5782, kb_relative_information_score: 182.8068, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8019, predictive_accuracy: 0.8038, prior_entropy: 0.9312, recall: 0.8038, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8809, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7927, kappa: 0.5585, kb_relative_information_score: 151.7517, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7923, predictive_accuracy: 0.7943, prior_entropy: 0.9312, recall: 0.7943, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8274, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9038, kappa: 0.7946, kb_relative_information_score: 248.376, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9064, predictive_accuracy: 0.9051, prior_entropy: 0.9312, recall: 0.9051, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5659, scimark_benchmark: 1321.6263, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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: 0.9819, f_measure: 0.9589, kappa: 0.9131, kb_relative_information_score: 291.1282, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9312, recall: 0.9589, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4017, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9874, kappa: 0.9734, kb_relative_information_score: 317.9628, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9877, 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: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.8849, f_measure: 0.906, kappa: 0.7985, kb_relative_information_score: 260.457, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9147, predictive_accuracy: 0.9082, prior_entropy: 0.9312, recall: 0.9082, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6215, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1066.833,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 16.689, build_memory: 1095823336, f_measure: 0.9873, kappa: 0.9731, kb_relative_information_score: 314.1395, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9874, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.237, scimark_benchmark: 923.3659,
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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,
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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: 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,
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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: 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: 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: 0.9855, 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: 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: 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: 0.9876, build_cpu_time: 0.411, build_memory: 118560712, f_measure: 0.9905, kappa: 0.9798, kb_relative_information_score: 320.2278, mean_absolute_error: 0.0096, 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: 0.0206, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.1999, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.048, build_memory: 503019368, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.041, build_memory: 50351544, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.045, build_memory: 133780088, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, build_cpu_time: 0.072, build_memory: 91920128, f_measure: 0.8642, kappa: 0.7085, kb_relative_information_score: 182.4281, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8871, predictive_accuracy: 0.8703, prior_entropy: 0.9312, recall: 0.8703, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6171, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 9.29, build_memory: 1419040936, f_measure: 0.9841, kappa: 0.9663, kb_relative_information_score: 316.4342, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9846, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2377, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 4.953, build_memory: 2362854968, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 314.9982, mean_absolute_error: 0.0168, 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: 0.0362, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2501, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 2.643, build_memory: 355041472, f_measure: 0.9682, kappa: 0.9326, kb_relative_information_score: 303.0077, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9312, recall: 0.9684, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3415, scimark_benchmark: 943.5054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, build_cpu_time: 1.275, build_memory: 67003016, f_measure: 0.9489, kappa: 0.8912, kb_relative_information_score: 289.4118, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9505, predictive_accuracy: 0.9494, prior_entropy: 0.9312, recall: 0.9494, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4236, scimark_benchmark: 937.4026,

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