OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.677, kappa: 0.2736, kb_relative_information_score: 96.9679, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6745, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9564, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9195, kappa: 0.8203, kb_relative_information_score: 782.8822, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9213, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5919, scimark_benchmark: 1307.3764, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
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: 1298.4923, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
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: 1327.9121, usercpu_time_millis: 1410, usercpu_time_millis_testing: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8456, kappa: 0.6525, kb_relative_information_score: 474.669, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8522, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7126, scimark_benchmark: 1330.1959, usercpu_time_millis: 1820, usercpu_time_millis_testing: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.7825, kappa: 0.5102, kb_relative_information_score: 257.2551, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8491, predictive_accuracy: 0.8069, prior_entropy: 0.9312, recall: 0.8069, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8043, scimark_benchmark: 1314.7093, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7894, kappa: 0.5254, kb_relative_information_score: 257.6949, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8037, scimark_benchmark: 1350.4702, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 140.1757, mean_absolute_error: 0.3918, 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: 0.8649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9219, scimark_benchmark: 1350.4702, usercpu_time_millis: 520, usercpu_time_millis_testing: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 897.6882, mean_absolute_error: 0.0305, 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: 0.0673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2589, scimark_benchmark: 1341.4981, usercpu_time_millis: 2410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2350,
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: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 1111.828, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, 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: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 1308.3432, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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: 1357.483,
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: 854.5188, usercpu_time_millis: 2370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 1342.4239,
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: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8007, kappa: 0.5501, kb_relative_information_score: 264.3208, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8559, predictive_accuracy: 0.8205, prior_entropy: 0.9312, recall: 0.8205, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 1347.5461, usercpu_time_millis: 460, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8457, kappa: 0.6576, kb_relative_information_score: 600.1125, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8453, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7897, scimark_benchmark: 1301.2156, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 682.4175, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4237, scimark_benchmark: 892.0148, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 1327.2954, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9446, kappa: 0.8776, kb_relative_information_score: 815.7529, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693, scimark_benchmark: 1340.1351, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1345.7204, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 1342.6911, usercpu_time_millis: 320, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 1380.2233,
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: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 798.5042, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3022, scimark_benchmark: 1297.2338, usercpu_time_millis: 23300, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 23120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 1347.993,
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: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 1299.9304, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1357.7543, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
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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: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1325.7874, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 1332.1612,
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: 1327.5842,
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: 933.4598, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 942.3809, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 928.8135, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 798.5042, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3022, scimark_benchmark: 942.3809, usercpu_time_millis: 41970, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 41580,
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: 946.9304, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 945.0194,
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: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 700.0739, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185, scimark_benchmark: 928.8135, usercpu_time_millis: 270, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 941.6062, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7788, kappa: 0.5177, kb_relative_information_score: 324.1163, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7828, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7809, scimark_benchmark: 934.1885, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6893, kappa: 0.3044, kb_relative_information_score: 114.5241, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6866, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.934, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 276.8895, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.762, scimark_benchmark: 933.0918, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
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: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6874, kappa: 0.2982, kb_relative_information_score: 271.5573, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6848, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0345, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs