OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111517 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: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1995.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 1980.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9034, kappa: 0.7831, kb_relative_information_score: 519.7713, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9098, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6152, scimark_benchmark: 1994.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 2011.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7085, kappa: 0.3413, kb_relative_information_score: 220.1053, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7125, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8662, scimark_benchmark: 2010.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9241, kappa: 0.8309, kb_relative_information_score: 517.84, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9248, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6102, scimark_benchmark: 2022.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 2003.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 1998.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6855, kappa: 0.29, kb_relative_information_score: 181.4946, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6856, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9024, scimark_benchmark: 900.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 918.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 948.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.7781, kappa: 0.4998, kb_relative_information_score: 239.6861, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8017, prior_entropy: 0.9312, recall: 0.8017, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8212, scimark_benchmark: 946.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7568, kappa: 0.45, kb_relative_information_score: 290.8421, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7843, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.852, scimark_benchmark: 898.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 948.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8165, kappa: 0.5855, kb_relative_information_score: 359.6668, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7406, scimark_benchmark: 948.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 910.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.0993, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096, scimark_benchmark: 944.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.925, kappa: 0.8315, kb_relative_information_score: 538.2265, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9317, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.583, scimark_benchmark: 949.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.7877, kappa: 0.5198, kb_relative_information_score: 366.7423, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8204, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8164, scimark_benchmark: 925.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 947.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8527, kappa: 0.671, kb_relative_information_score: 610.179, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8534, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7024, scimark_benchmark: 945.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 931.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 944.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 909.3949, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3111, scimark_benchmark: 949.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 948.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9465, kappa: 0.8815, kb_relative_information_score: 824.131, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4532, scimark_benchmark: 946.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9151, kappa: 0.8092, kb_relative_information_score: 529.5451, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9228, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.595, scimark_benchmark: 947.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7543, kappa: 0.4442, kb_relative_information_score: 293.3568, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7702, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8515, scimark_benchmark: 947.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9705, kappa: 0.9343, kb_relative_information_score: 522.4606, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9718, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.577, scimark_benchmark: 945.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 947.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147, scimark_benchmark: 947.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 948.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 947.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 949.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7459, kappa: 0.4252, kb_relative_information_score: 310.1082, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7701, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8574, scimark_benchmark: 918.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 950.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5213, kappa: 0.0079, kb_relative_information_score: 198.6236, mean_absolute_error: 0.3445, 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: 0.7604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7592, kappa: 0.4552, kb_relative_information_score: 347.7549, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348, scimark_benchmark: 946.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 950.7991, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176, scimark_benchmark: 948.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7545, kappa: 0.4447, kb_relative_information_score: 316.7732, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7676, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8527, scimark_benchmark: 916.7363,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8484, kappa: 0.6646, kb_relative_information_score: 621.6851, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8481, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7297, scimark_benchmark: 923.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 944.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5189, kappa: 0.0039, kb_relative_information_score: 196.3233, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.774, predictive_accuracy: 0.6545, prior_entropy: 0.9312, recall: 0.6545, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5878, root_relative_squared_error: 1.2352, scimark_benchmark: 945.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 945.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 606.8748, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9798, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5031, scimark_benchmark: 940.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147, scimark_benchmark: 947.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.0993, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096, scimark_benchmark: 939.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5446, kappa: 0.0467, kb_relative_information_score: 221.6259, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.779, predictive_accuracy: 0.666, prior_entropy: 0.9312, recall: 0.666, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.578, root_relative_squared_error: 1.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.7628, kappa: 0.4782, kb_relative_information_score: 431.2634, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7638, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 946.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7502, kappa: 0.435, kb_relative_information_score: 324.753, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7647, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8567, scimark_benchmark: 916.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 937.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 913.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 945.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, 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: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 948.1026,

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