OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

111519 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 861.9871, mean_absolute_error: 0.0544, 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: 0.12, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9496, kappa: 0.8883, kb_relative_information_score: 846.1605, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4411, scimark_benchmark: 883.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8246, kappa: 0.6064, kb_relative_information_score: 495.1061, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7146, scimark_benchmark: 920.9832,
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: 942.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9641, kappa: 0.9202, kb_relative_information_score: 525.9337, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9654, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5734, scimark_benchmark: 931.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9865, kappa: 0.9703, kb_relative_information_score: 927.7968, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9869, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2448, scimark_benchmark: 888.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7732, kappa: 0.4875, kb_relative_information_score: 327.8598, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.785, prior_entropy: 0.9312, recall: 0.785, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.385, root_relative_squared_error: 0.809, scimark_benchmark: 908.6783,
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: 934.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9479, kappa: 0.8834, kb_relative_information_score: 625.6499, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9518, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, scimark_benchmark: 944.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6873, kappa: 0.2939, kb_relative_information_score: 179.1304, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6878, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9022, scimark_benchmark: 948.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 941.6481, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1788, scimark_benchmark: 920.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8773, 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: 0.2715, scimark_benchmark: 944.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9559, kappa: 0.902, kb_relative_information_score: 736.0601, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9563, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4432, scimark_benchmark: 932.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.8585, mean_absolute_error: 0.1544, 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: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 944.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 897.2973, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2722, scimark_benchmark: 946.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6895, kappa: 0.2988, kb_relative_information_score: 179.1238, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6901, predictive_accuracy: 0.7035, prior_entropy: 0.9312, recall: 0.7035, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9029, scimark_benchmark: 936.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9843, kappa: 0.9652, kb_relative_information_score: 923.1963, mean_absolute_error: 0.0157, 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: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629, scimark_benchmark: 927.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9645, kappa: 0.9217, kb_relative_information_score: 871.9698, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3763, scimark_benchmark: 940.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.695, kappa: 0.3101, kb_relative_information_score: 326.1253, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7003, predictive_accuracy: 0.7129, prior_entropy: 0.9312, recall: 0.7129, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0075, scimark_benchmark: 942.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 947.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9213, kappa: 0.8253, kb_relative_information_score: 777.5874, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9213, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.809, kappa: 0.5731, kb_relative_information_score: 419.3491, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.809, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7747, scimark_benchmark: 941.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.052, mean_absolute_error: 0.0068, 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: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 902.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8037, kappa: 0.5644, kb_relative_information_score: 436.1879, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7706, scimark_benchmark: 933.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.958, kappa: 0.9069, kb_relative_information_score: 739.292, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4376, scimark_benchmark: 921.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8071, kappa: 0.5706, kb_relative_information_score: 425.5393, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8064, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7752, scimark_benchmark: 928.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.0195, mean_absolute_error: 0.3909, 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: 0.8629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.8549, mean_absolute_error: 0.0017, 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: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0747, scimark_benchmark: 937.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 120.3289, mean_absolute_error: 0.4012, 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: 0.8856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9409, scimark_benchmark: 943.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7967, kappa: 0.5402, kb_relative_information_score: 368.6974, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8149, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7633, scimark_benchmark: 925.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9885, kappa: 0.9746, kb_relative_information_score: 932.3184, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2194, scimark_benchmark: 883.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9473, kappa: 0.8828, kb_relative_information_score: 843.3803, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4342, scimark_benchmark: 938.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9093, kappa: 0.7981, kb_relative_information_score: 759.8799, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6296, scimark_benchmark: 943.0262,
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: 947.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9445, kappa: 0.8772, kb_relative_information_score: 767.471, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4569, scimark_benchmark: 935.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9822, kappa: 0.9606, kb_relative_information_score: 918.3829, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9823, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.28, scimark_benchmark: 911.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 947.302, mean_absolute_error: 0.0046, 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: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1352, scimark_benchmark: 939.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7694, kappa: 0.4811, kb_relative_information_score: 351.1022, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7714, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.804, scimark_benchmark: 947.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 938.9107, mean_absolute_error: 0.0085, 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: 0.0189, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1895, scimark_benchmark: 880.8853,
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: 940.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 904.236, mean_absolute_error: 0.0269, 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: 0.0595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2413, scimark_benchmark: 918.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 687.6042, mean_absolute_error: 0.156, 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: 0.3444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4171, scimark_benchmark: 944.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 940.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.411, mean_absolute_error: 0.3907, 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: 0.8624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9204, scimark_benchmark: 944.1765,
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,
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,
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: 597.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.788, mean_absolute_error: 0.4005, 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: 0.884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9409, scimark_benchmark: 595.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 946.1986, mean_absolute_error: 0.0052, 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: 0.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1518, scimark_benchmark: 943.9559,
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: 595.1279,
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: 929.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0039, build_memory: 196377130.5553, 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: 948.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0038, build_memory: 191921126.6973, 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: 946.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.104, build_memory: 34237174.3883, f_measure: 0.9481, kappa: 0.8842, kb_relative_information_score: 622.2847, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9503, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.514, scimark_benchmark: 922.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.1065, build_memory: 1122578623.666, f_measure: 0.9492, kappa: 0.8865, kb_relative_information_score: 626.0853, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9515, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5064, scimark_benchmark: 897.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.2152, build_memory: 920092747.3737, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 946.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.2341, build_memory: 799703983.0063, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 943.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.4096, build_memory: 905006307.9165, f_measure: 0.9479, kappa: 0.8834, kb_relative_information_score: 625.6499, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9518, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, scimark_benchmark: 931.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 5.6633, build_memory: 360687422.6639, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 904.236, mean_absolute_error: 0.0269, 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: 0.0595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2413, scimark_benchmark: 944.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 2.8487, build_memory: 396286970.6722, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 903.877, mean_absolute_error: 0.0271, 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: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2418, scimark_benchmark: 933.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.1759, build_memory: 1564716661.5616, f_measure: 0.9623, kappa: 0.9167, kb_relative_information_score: 848.4473, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3823, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.2768, build_memory: 589854595.9666, f_measure: 0.9822, kappa: 0.9605, kb_relative_information_score: 914.4263, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2594, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4487, build_memory: 743423075.6409, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.9283, 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: 0.0682, root_relative_squared_error: 0.1434, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.8535, build_memory: 1116329162.3633, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.093, 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: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 415.0361, build_memory: 170427923.3236, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 690.86, mean_absolute_error: 0.1544, 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: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4135, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 186.0055, build_memory: 1330480763.3069, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 687.6042, mean_absolute_error: 0.156, 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: 0.3444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4171, scimark_benchmark: 946.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.8186, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 92.2487, build_memory: 705485571.2902, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 686.6782, mean_absolute_error: 0.1565, 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: 0.3454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4181, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 58.9534, build_memory: 149729614.6472, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 688.7098, mean_absolute_error: 0.1554, 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: 0.343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4161, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 24.7086, build_memory: 450521346.9896, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 693.1688, mean_absolute_error: 0.1527, 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: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.196, root_relative_squared_error: 0.412, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, build_cpu_time: 0.0036, build_memory: 1405458508.167, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.411, mean_absolute_error: 0.3907, 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: 0.8624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9204, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.0072, build_memory: 1392653676.2171, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 141.0769, mean_absolute_error: 0.3914, 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: 0.864, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9203, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 2.3296, build_memory: 2108586109.7119, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 911.4368, mean_absolute_error: 0.0214, 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: 0.0473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2795, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 0.0102, build_memory: 39124741.1441, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.0195, mean_absolute_error: 0.3909, 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: 0.8629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9209, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, build_cpu_time: 0.0216, build_memory: 113320605.1942, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 141.6033, mean_absolute_error: 0.3911, 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: 0.8633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9206, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, build_cpu_time: 0.0406, build_memory: 931149416.9854, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 140.5427, mean_absolute_error: 0.3916, 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: 0.8645, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9203, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 924.0388, build_memory: 237895311.3069, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 900.8674, mean_absolute_error: 0.0283, 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: 0.0625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2523, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.8186, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, recall: 0.9916, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 433.0753, build_memory: 914662214.3716, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 899.8512, mean_absolute_error: 0.0287, 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: 0.0634, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2545, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.0188, build_memory: 165167350.4551, f_measure: 0.8271, kappa: 0.6089, kb_relative_information_score: 417.7932, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8474, predictive_accuracy: 0.8372, prior_entropy: 0.9312, recall: 0.8372, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7122, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.0233, build_memory: 153002625.4447, f_measure: 0.8271, kappa: 0.6089, kb_relative_information_score: 417.7932, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8474, predictive_accuracy: 0.8372, prior_entropy: 0.9312, recall: 0.8372, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7122, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.0244, build_memory: 112731453.9624, f_measure: 0.8271, kappa: 0.6089, kb_relative_information_score: 417.7932, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8474, predictive_accuracy: 0.8372, prior_entropy: 0.9312, recall: 0.8372, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7122, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.307, build_memory: 44926182.5219, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 899.4836, mean_absolute_error: 0.0285, 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: 0.063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2653, scimark_benchmark: 876.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.2985, build_memory: 217555277.8288, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 899.4836, mean_absolute_error: 0.0285, 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: 0.063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2653, scimark_benchmark: 938.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, build_cpu_time: 0.0686, build_memory: 300151452.4593, f_measure: 0.6873, kappa: 0.2939, kb_relative_information_score: 179.1304, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6878, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9022, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, build_cpu_time: 0.0654, build_memory: 939828720.1336, f_measure: 0.6873, kappa: 0.2939, kb_relative_information_score: 179.1304, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6878, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9022, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.3462, build_memory: 196775637.5365, f_measure: 0.979, kappa: 0.9534, kb_relative_information_score: 731.0677, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9794, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3876, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.4415, build_memory: 167655074.6555, f_measure: 0.979, kappa: 0.9534, kb_relative_information_score: 731.0677, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9794, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3876, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0139, build_memory: 626230104.8685, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 294.9587, mean_absolute_error: 0.3008, 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: 0.664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.1506, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0045, build_memory: 263942440.4509, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 294.677, mean_absolute_error: 0.301, 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: 0.6644, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1492, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0066, build_memory: 238478780.952, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 294.677, mean_absolute_error: 0.301, 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: 0.6644, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1492, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0082, build_memory: 203980332.2589, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 294.677, mean_absolute_error: 0.301, 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: 0.6644, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1492, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0069, build_memory: 719451214.4635, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 294.677, mean_absolute_error: 0.301, 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: 0.6644, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1492, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, build_cpu_time: 0.0039, build_memory: 736792315.4739, 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: 940.6012,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs