Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 269004 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

269004 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: 0.7891, f_measure: 0.8246, kappa: 0.6035, kb_relative_information_score: 451.0615, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8414, predictive_accuracy: 0.834, prior_entropy: 0.9312, recall: 0.834, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 702.3741, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9473, kappa: 0.8826, kb_relative_information_score: 708.5343, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9483, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 28.0378, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8765, kappa: 0.7265, kb_relative_information_score: 686.2725, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8762, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8764, kappa: 0.7261, kb_relative_information_score: 686.2725, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8761, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 906.8527, mean_absolute_error: 0.0248, 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: 0.0548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9727, kappa: 0.9392, kb_relative_information_score: 558.8247, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9734, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5468, scimark_benchmark: 1382.6691, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9684, kappa: 0.9298, kb_relative_information_score: 556.8918, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9693, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.549, scimark_benchmark: 1382.6691, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9663, kappa: 0.925, kb_relative_information_score: 555.6916, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9674, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5503, scimark_benchmark: 1382.6691, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.96, kappa: 0.9109, kb_relative_information_score: 552.8045, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.961, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5544, scimark_benchmark: 1382.6691, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9567, kappa: 0.9035, kb_relative_information_score: 557.9122, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9582, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.552, scimark_benchmark: 1382.6691, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 556.026, mean_absolute_error: 0.2183, 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: 0.4819, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5561, scimark_benchmark: 1382.6691, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.945, kappa: 0.8774, kb_relative_information_score: 551.0683, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9467, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5653, scimark_benchmark: 1382.6691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.6582, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9765, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.543, scimark_benchmark: 1382.6691, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9631, kappa: 0.9179, kb_relative_information_score: 554.7744, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9642, predictive_accuracy: 0.9635, prior_entropy: 0.9312, recall: 0.9635, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5529, scimark_benchmark: 1382.6691, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9229, kappa: 0.8282, kb_relative_information_score: 539.8184, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.924, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.59, scimark_benchmark: 1382.6691, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1570.3727, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
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: 1843.9164, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, 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: 1843.9164, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7172, kappa: 0.3603, kb_relative_information_score: 256.2906, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7267, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 1843.9164,
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: 1843.9164, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
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: 1843.9164,
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: 1843.9164, 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: 1843.9164,
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: 1850.4162, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 902.4994, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8143, kappa: 0.5837, kb_relative_information_score: 480.5859, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8156, predictive_accuracy: 0.8184, prior_entropy: 0.9312, recall: 0.8184, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6838, kappa: 0.2859, kb_relative_information_score: 179.1067, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6842, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9037,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 919.4495, mean_absolute_error: 0.0181, 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: 0.0399, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9696, kappa: 0.9327, kb_relative_information_score: 887.4833, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3235,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.7861, kappa: 0.5161, kb_relative_information_score: 341.3373, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8159, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 626.8089, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.706, kappa: 0.3367, kb_relative_information_score: 177.8107, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7379, predictive_accuracy: 0.7359, prior_entropy: 0.9312, recall: 0.7359, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8847,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9233, kappa: 0.8282, kb_relative_information_score: 606.4506, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.7702, kappa: 0.4818, kb_relative_information_score: 235.5654, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.824, predictive_accuracy: 0.7944, prior_entropy: 0.9312, recall: 0.7944, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8244,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2141, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8097, kappa: 0.5772, kb_relative_information_score: 396.4062, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.809, predictive_accuracy: 0.8111, prior_entropy: 0.9312, recall: 0.8111, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7799,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 900.882, mean_absolute_error: 0.0272, 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: 0.0601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, 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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.745, kappa: 0.4237, kb_relative_information_score: 424.0462, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7522, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0341,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6838, kappa: 0.2859, kb_relative_information_score: 179.206, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6842, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9037,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9726, kappa: 0.939, kb_relative_information_score: 654.2981, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4559, scimark_benchmark: 1845.1601, usercpu_time_millis: 7.969, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 7.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 597.5701, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5127, scimark_benchmark: 1737.9959, usercpu_time_millis: 6.855, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 6.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 791.4641, mean_absolute_error: 0.097, 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: 0.2142, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3155, scimark_benchmark: 1741.6975, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 846.1319, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2819, scimark_benchmark: 1746.3534, usercpu_time_millis: 4.191, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8943, kappa: 0.7614, kb_relative_information_score: 437.6311, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9093, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6543, scimark_benchmark: 1740.1878, usercpu_time_millis: 4.103, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 588.9562, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5294, scimark_benchmark: 1730.2733, usercpu_time_millis: 7.381, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 6.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8237, kappa: 0.6012, kb_relative_information_score: 348.6187, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8533, predictive_accuracy: 0.8361, prior_entropy: 0.9312, recall: 0.8361, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7369, scimark_benchmark: 1719.3793, usercpu_time_millis: 3.314, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 779.3573, mean_absolute_error: 0.1028, 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: 0.2269, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3393, scimark_benchmark: 1745.4265, usercpu_time_millis: 5.831, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5165, kb_relative_information_score: -0.3579, 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: 1744.9079, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.5165, kb_relative_information_score: -0.5893, mean_absolute_error: 0.4531, 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: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1739.9351, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.7972, kappa: 0.5419, kb_relative_information_score: 278.9916, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8456, predictive_accuracy: 0.8163, prior_entropy: 0.9312, recall: 0.8163, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7854, scimark_benchmark: 1915.9582, usercpu_time_millis: 4.28, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8995, kappa: 0.7732, kb_relative_information_score: 531.6251, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9163, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5799, scimark_benchmark: 1742.5561, usercpu_time_millis: 3.654, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 462.0311, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6467, scimark_benchmark: 1856.5815, usercpu_time_millis: 1.999, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 677.0519, mean_absolute_error: 0.1622, 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: 0.358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.421, scimark_benchmark: 1915.8374, usercpu_time_millis: 3.064, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 2.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.7589, kappa: 0.4577, kb_relative_information_score: 231.4745, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8234, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8229, scimark_benchmark: 1722.2536, usercpu_time_millis: 1.951, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7795, kappa: 0.5029, kb_relative_information_score: 185.6785, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8361, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8743, scimark_benchmark: 1918.765, usercpu_time_millis: 2.706, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 152.2458, mean_absolute_error: 0.3832, 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: 0.8458, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.896, scimark_benchmark: 1742.1574, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.5165, kb_relative_information_score: 33.9208, mean_absolute_error: 0.4394, 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: 0.9699, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.463, root_relative_squared_error: 0.973, scimark_benchmark: 1731.1269, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5165, kb_relative_information_score: -0.0947, 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: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1914.3135, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5165, kb_relative_information_score: 0.839, mean_absolute_error: 0.4521, 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: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0002, scimark_benchmark: 1918.2099, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 720.3294, mean_absolute_error: 0.1386, 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: 0.306, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3774, scimark_benchmark: 1744.5091, usercpu_time_millis: 7.704, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 6.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9832, kappa: 0.9628, kb_relative_information_score: 535.6629, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5628, scimark_benchmark: 1747.7803, usercpu_time_millis: 4.407, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9715, kappa: 0.9366, kb_relative_information_score: 649.7255, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.973, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4593, scimark_benchmark: 1728.5801, usercpu_time_millis: 4.704, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.801, kappa: 0.5499, kb_relative_information_score: 316.4784, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8377, predictive_accuracy: 0.8173, prior_entropy: 0.9312, recall: 0.8173, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7613, scimark_benchmark: 1746.3221, usercpu_time_millis: 3.653, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 3.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7932, kappa: 0.5322, kb_relative_information_score: 322.8118, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8276, predictive_accuracy: 0.81, prior_entropy: 0.9312, recall: 0.81, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7572, scimark_benchmark: 2159.7111, usercpu_time_millis: 3.202, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 2.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9598, kappa: 0.9101, kb_relative_information_score: 547.0801, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9623, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5797, scimark_benchmark: 1750.9584, usercpu_time_millis: 3.157, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7046, kappa: 0.3335, kb_relative_information_score: 128.3894, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7057, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.923, scimark_benchmark: 1722.7167, usercpu_time_millis: 1.355, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8855, kappa: 0.7413, kb_relative_information_score: 521.5866, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9069, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5968, scimark_benchmark: 1749.158, usercpu_time_millis: 4.24, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -0.1394, 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: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1742.0962, usercpu_time_millis: 0.284, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.5165, kb_relative_information_score: 41.2596, mean_absolute_error: 0.4364, 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: 0.9633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9664, scimark_benchmark: 1751.763, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7441, kappa: 0.4215, kb_relative_information_score: 148.0413, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7728, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9043, scimark_benchmark: 1715.2945, usercpu_time_millis: 2.75, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 445.9838, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6784, scimark_benchmark: 1750.5295, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8699, kappa: 0.706, kb_relative_information_score: 365.2688, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8908, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.7172, scimark_benchmark: 1748.2651, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8603, kappa: 0.6841, kb_relative_information_score: 398.2507, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8845, predictive_accuracy: 0.8685, prior_entropy: 0.9312, recall: 0.8685, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6942, scimark_benchmark: 1753.7987, usercpu_time_millis: 2.326, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.5165, kb_relative_information_score: 0.2157, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1744.6631, usercpu_time_millis: 1.306, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6927, kappa: 0.3084, kb_relative_information_score: 221.95, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.691, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8404, scimark_benchmark: 1715.7428, usercpu_time_millis: 2.285, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.5165, kb_relative_information_score: 30.3674, mean_absolute_error: 0.4406, 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: 0.9727, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9751, scimark_benchmark: 1749.158, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.5165, kb_relative_information_score: 22.3205, mean_absolute_error: 0.4445, 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: 0.9813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9826, scimark_benchmark: 1720.119, usercpu_time_millis: 1.833, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.0493, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1751.935, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.91, kappa: 0.7971, kb_relative_information_score: 509.3776, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9228, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5935, scimark_benchmark: 1702.1268, usercpu_time_millis: 3.941, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 712.3766, mean_absolute_error: 0.1428, 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: 0.3151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3849, scimark_benchmark: 737.4237, usercpu_time_millis: 16.978, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 15.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.918, kappa: 0.8154, kb_relative_information_score: 481.0877, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9281, predictive_accuracy: 0.9207, prior_entropy: 0.9312, recall: 0.9207, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6166, scimark_benchmark: 737.4237, usercpu_time_millis: 10.58, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 9.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8628, kappa: 0.6895, kb_relative_information_score: 454.3911, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8927, predictive_accuracy: 0.8716, prior_entropy: 0.9312, recall: 0.8716, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6555, scimark_benchmark: 739.4802, usercpu_time_millis: 9.886, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 8.996,

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