OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111827 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: 0.9998, f_measure: 0.9467, kappa: 0.8805, kb_relative_information_score: 641.7267, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9517, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 1857.1082, usercpu_time_millis: 3.47, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 3.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9695, kappa: 0.9321, kb_relative_information_score: 486.6024, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9705, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6106, scimark_benchmark: 1864.9656, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 3.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9576, kappa: 0.9054, kb_relative_information_score: 473.9801, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9602, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6226, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.637, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 5.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 582.1739, mean_absolute_error: 0.212, 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: 0.468, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5141, scimark_benchmark: 1872.9496, usercpu_time_millis: 8.834, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 7.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 670.6326, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4559, scimark_benchmark: 1872.5609, usercpu_time_millis: 8.941, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 7.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.5165, kb_relative_information_score: 82.7585, mean_absolute_error: 0.4177, 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: 0.9221, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.937, scimark_benchmark: 1857.6392, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 494.0982, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6236, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5165, kb_relative_information_score: -0.1719, mean_absolute_error: 0.4529, 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: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7702, kappa: 0.4829, kb_relative_information_score: 175.7408, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8351, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.879, scimark_benchmark: 1873.5293, usercpu_time_millis: 0.744, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6724, kappa: 0.2629, kb_relative_information_score: 159.4187, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6697, predictive_accuracy: 0.6827, prior_entropy: 0.9312, recall: 0.6827, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8929, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7599, kappa: 0.4568, kb_relative_information_score: 281.2883, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7856, predictive_accuracy: 0.7787, prior_entropy: 0.9312, recall: 0.7787, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7899, scimark_benchmark: 1850.2875, usercpu_time_millis: 4.834, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 4.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7736, kappa: 0.4881, kb_relative_information_score: 339.1546, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7858, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7543, scimark_benchmark: 1860.7926, usercpu_time_millis: 3.98, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 3.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.5165, kb_relative_information_score: 38.283, mean_absolute_error: 0.4375, 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: 0.9658, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9687, scimark_benchmark: 1869.8223, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7571, kappa: 0.4506, kb_relative_information_score: 254.2057, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7697, predictive_accuracy: 0.7714, prior_entropy: 0.9312, recall: 0.7714, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8575, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7679, kappa: 0.4787, kb_relative_information_score: 289.3347, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8448, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8077, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.612, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7482, kappa: 0.4326, kb_relative_information_score: 218.7988, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7993, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8335, scimark_benchmark: 1873.5293, usercpu_time_millis: 3.399, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 78.8402, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9444, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.5165, kb_relative_information_score: -0.1883, 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: 1867.725, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.7799, kappa: 0.5037, kb_relative_information_score: 231.8375, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8345, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8273, scimark_benchmark: 1861.5089, usercpu_time_millis: 4.709, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.7101, kappa: 0.357, kb_relative_information_score: 218.7325, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8228, predictive_accuracy: 0.7568, prior_entropy: 0.9312, recall: 0.7568, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348, scimark_benchmark: 1864.9656, usercpu_time_millis: 4.707, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 3.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 77.6206, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.946, scimark_benchmark: 1874.925, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.863, kappa: 0.69, kb_relative_information_score: 401.7284, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8916, predictive_accuracy: 0.8716, prior_entropy: 0.9312, recall: 0.8716, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6944, scimark_benchmark: 1868.3809, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.6836, kappa: 0.2995, kb_relative_information_score: 107.4188, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7853, predictive_accuracy: 0.7359, prior_entropy: 0.9312, recall: 0.7359, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9267, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.041, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 801.5931, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3059, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.707, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 4.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 737.6514, mean_absolute_error: 0.1232, 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: 0.272, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3932, scimark_benchmark: 1861.7218, usercpu_time_millis: 4.39, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 3.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.5213, kappa: 0.0079, kb_relative_information_score: 78.4428, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7744, predictive_accuracy: 0.6555, prior_entropy: 0.9312, recall: 0.6555, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9449, scimark_benchmark: 1723.1578, usercpu_time_millis: 2.144, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8591, kappa: 0.6812, kb_relative_information_score: 421.5771, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8905, predictive_accuracy: 0.8685, prior_entropy: 0.9312, recall: 0.8685, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6871, scimark_benchmark: 1874.977, usercpu_time_millis: 5.4, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 4.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9609, kappa: 0.9127, kb_relative_information_score: 519.488, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.963, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.5941, scimark_benchmark: 1857.1635, usercpu_time_millis: 6.383, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 5.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9099, kappa: 0.7968, kb_relative_information_score: 511.3296, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9235, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5926, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.436, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.6982, kappa: 0.3211, kb_relative_information_score: 118.9921, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6968, predictive_accuracy: 0.7077, prior_entropy: 0.9312, recall: 0.7077, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9301, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.7679, kappa: 0.4787, kb_relative_information_score: 269.0557, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8448, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7942, scimark_benchmark: 1872.0299, usercpu_time_millis: 7.397, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 6.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.8949, kappa: 0.7626, kb_relative_information_score: 543.871, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9131, predictive_accuracy: 0.8998, prior_entropy: 0.9312, recall: 0.8998, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.57, scimark_benchmark: 1726.7186, usercpu_time_millis: 7.028, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 6.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8074, kappa: 0.5648, kb_relative_information_score: 291.756, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8528, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7761, scimark_benchmark: 1874.4489, usercpu_time_millis: 5.238, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6004, kappa: 0.1445, kb_relative_information_score: 88.5183, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7912, predictive_accuracy: 0.6931, prior_entropy: 0.9312, recall: 0.6931, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9392, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7931, kappa: 0.5329, kb_relative_information_score: 227.0511, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8434, predictive_accuracy: 0.8132, prior_entropy: 0.9312, recall: 0.8132, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8349, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.793, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.703,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8709, kappa: 0.7083, kb_relative_information_score: 412.0547, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8925, predictive_accuracy: 0.8779, prior_entropy: 0.9312, recall: 0.8779, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6797, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8706, kappa: 0.7082, kb_relative_information_score: 525.1428, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8824, predictive_accuracy: 0.8758, prior_entropy: 0.9312, recall: 0.8758, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6246, scimark_benchmark: 1873.019, usercpu_time_millis: 2.11, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7083, kappa: 0.34, kb_relative_information_score: 180.5171, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7237, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8659, scimark_benchmark: 1868.0738, usercpu_time_millis: 1.408, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8832, kappa: 0.7359, kb_relative_information_score: 511.1283, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9054, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6075, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.698, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8093, kappa: 0.5695, kb_relative_information_score: 309.3084, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8637, predictive_accuracy: 0.8278, prior_entropy: 0.9312, recall: 0.8278, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7822, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7801, kappa: 0.5049, kb_relative_information_score: 222.0041, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8459, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8349, scimark_benchmark: 1864.4376, usercpu_time_millis: 1.406, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.6646, kappa: 0.2657, kb_relative_information_score: 130.1275, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8082, predictive_accuracy: 0.7286, prior_entropy: 0.9312, recall: 0.7286, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9069, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8591, kappa: 0.6812, kb_relative_information_score: 388.1258, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8905, predictive_accuracy: 0.8685, prior_entropy: 0.9312, recall: 0.8685, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7094, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.381, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8429, kappa: 0.6447, kb_relative_information_score: 384.717, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8813, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.717, scimark_benchmark: 1872.5609, usercpu_time_millis: 2.28, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5165, kb_relative_information_score: -0.2502, 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: 1128.8374, usercpu_time_millis: 1.614, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 657.1032, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4511, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.542, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 206.2347, mean_absolute_error: 0.3681, 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: 0.8125, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8415, scimark_benchmark: 1843.657, usercpu_time_millis: 0.575, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9446, kappa: 0.8759, kb_relative_information_score: 571.5042, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9491, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.544, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.6952, kappa: 0.3189, kb_relative_information_score: 131.6613, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.764, predictive_accuracy: 0.738, prior_entropy: 0.9312, recall: 0.738, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9007, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.898, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 582.4318, mean_absolute_error: 0.2115, 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: 0.4669, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5142, scimark_benchmark: 1844.2371, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 128.7969, mean_absolute_error: 0.3961, 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: 0.8744, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9278, scimark_benchmark: 1871.5747, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9191, kappa: 0.818, kb_relative_information_score: 483.4046, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9289, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.6133, scimark_benchmark: 1847.612, usercpu_time_millis: 2.535, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9736, kappa: 0.9413, kb_relative_information_score: 548.085, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5683, scimark_benchmark: 1857.1082, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.5165, kb_relative_information_score: 50.5115, mean_absolute_error: 0.4326, 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: 0.9549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9592, scimark_benchmark: 1858.6775, usercpu_time_millis: 2.346, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.954,

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