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: 0.9973, build_cpu_time: 3.8581, build_memory: 614266867.2568, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 902.6775, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2696, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4.3951, build_memory: 874659305.2192, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 903.4104, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 3.9844, build_memory: 444184608.8852, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 904.709, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.266, scimark_benchmark: 945.1987,
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: 930.7738, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
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: 799.2185, usercpu_time_millis: 530, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 320,
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: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9654, kappa: 0.9235, kb_relative_information_score: 827.923, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3445, scimark_benchmark: 917.7039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9739, kappa: 0.9424, kb_relative_information_score: 897.724, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308, scimark_benchmark: 917.1386, usercpu_time_millis: 1790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 933.2494, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2116, scimark_benchmark: 922.8983, usercpu_time_millis: 3580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.7327, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1528, scimark_benchmark: 1112.8112, usercpu_time_millis: 550, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.0851, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1641, scimark_benchmark: 911.3823, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 940.249, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1778, scimark_benchmark: 940.2751, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
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: 929.566, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
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: 918.4924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6887, kappa: 0.2983, kb_relative_information_score: 213.6936, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6877, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8704, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 582.4154, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5558, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.979, kappa: 0.9536, kb_relative_information_score: 900.2121, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2644, scimark_benchmark: 938.9865, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 938.9865,
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: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7562, kappa: 0.4489, kb_relative_information_score: 271.5329, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.766, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.823, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.902, kappa: 0.7795, kb_relative_information_score: 504.3395, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9103, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6096, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6874, kappa: 0.2954, kb_relative_information_score: 316.41, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0124, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7286, kappa: 0.3864, kb_relative_information_score: 389.7528, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7529, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9481, scimark_benchmark: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.756, kappa: 0.4479, kb_relative_information_score: 437.8993, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9028, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7978, kappa: 0.5424, kb_relative_information_score: 529.3994, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8239, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7917, scimark_benchmark: 942.1229, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8837, kappa: 0.7394, kb_relative_information_score: 668.7031, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.887, predictive_accuracy: 0.8862, prior_entropy: 0.9312, recall: 0.8862, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.568, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8847, kappa: 0.7416, kb_relative_information_score: 679.5012, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8882, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.563, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8966, kappa: 0.7684, kb_relative_information_score: 712.6637, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8999, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5966, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7512, kappa: 0.4378, kb_relative_information_score: 451.7532, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7596, predictive_accuracy: 0.7641, prior_entropy: 0.9312, recall: 0.7641, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9264, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7111, kappa: 0.3472, kb_relative_information_score: 364.0616, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7149, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.0267, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1054.3694,
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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: 1293.1919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1263.2205, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 925.8263, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9846, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1833, scimark_benchmark: 1326.6565, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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: 1332.2926, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8516, kappa: 0.6684, kb_relative_information_score: 600.9752, mean_absolute_error: 0.1674, 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: 0.3696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6985, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.978, kappa: 0.9513, kb_relative_information_score: 893.1044, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3035, scimark_benchmark: 1331.482, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1347.3845, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8891, kappa: 0.7493, kb_relative_information_score: 725.3764, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9092, predictive_accuracy: 0.8946, prior_entropy: 0.9312, recall: 0.8946, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823, scimark_benchmark: 1367.8403, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 1310.934, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 1413.089, usercpu_time_millis: 4440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9447, kappa: 0.8763, kb_relative_information_score: 438.1542, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9484, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6437, scimark_benchmark: 1334.9657, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1413.089, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1358.4523,
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: 1339.7143, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1342.7245, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 994.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7654, kappa: 0.4701, kb_relative_information_score: 290.1532, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7733, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8149, scimark_benchmark: 1340.9497,
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: 1262.9237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9085, kappa: 0.7944, kb_relative_information_score: 526.8957, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9166, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5994, scimark_benchmark: 1316.7714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9216, kappa: 0.8239, kb_relative_information_score: 534.4151, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9291, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5882, scimark_benchmark: 1337.6765, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.926, kappa: 0.8338, kb_relative_information_score: 538.3692, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5819, scimark_benchmark: 1168.3268, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7562, kappa: 0.4489, kb_relative_information_score: 271.5329, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.766, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.823, scimark_benchmark: 1311.1837, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.902, kappa: 0.7795, kb_relative_information_score: 504.3395, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9103, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6096, scimark_benchmark: 1311.9814, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.7847, kappa: 0.5148, kb_relative_information_score: 258.3707, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8461, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.8031, scimark_benchmark: 1275.9462, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8537, kappa: 0.6793, kb_relative_information_score: 633.3672, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8553, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8062, scimark_benchmark: 1311.1837,

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