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OpenML
Task
Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 3734 Supervised Classification fri_c1_500_5 572 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.826, kappa: 0.6503, kb_relative_information_score: 291.0572, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9967, recall: 0.826, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7045, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5572, kappa: 0.1954, kb_relative_information_score: 81.2202, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6416, predictive_accuracy: 0.584, prior_entropy: 0.9967, recall: 0.584, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.645, root_relative_squared_error: 1.293, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.3807, kappa: 0.0092, kb_relative_information_score: 34.9143, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7523, predictive_accuracy: 0.538, prior_entropy: 0.9967, recall: 0.538, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3626, scimark_benchmark: 916.6405, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7001, kappa: 0.3975, kb_relative_information_score: 197.9917, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7002, predictive_accuracy: 0.7, prior_entropy: 0.9967, recall: 0.7, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.098, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7574, kappa: 0.512, kb_relative_information_score: 62.102, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7578, predictive_accuracy: 0.758, prior_entropy: 0.9967, recall: 0.758, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9478, scimark_benchmark: 1386.5717, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6541, kappa: 0.3042, kb_relative_information_score: 153.6991, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6552, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1758, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7041, kappa: 0.4056, kb_relative_information_score: 117.6731, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7042, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8854, scimark_benchmark: 916.9356, usercpu_time_millis: 1720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 302.7962, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7177, scimark_benchmark: 1350.9691, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1331.6907, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8777, kappa: 0.754, kb_relative_information_score: 377.1754, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7002, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8596, kappa: 0.7176, kb_relative_information_score: 312.0297, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7049, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8455, kappa: 0.6891, kb_relative_information_score: 311.1444, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8469, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7395, scimark_benchmark: 1309.3173, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8009, kappa: 0.5996, kb_relative_information_score: 300.67, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8034, predictive_accuracy: 0.802, prior_entropy: 0.9967, recall: 0.802, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.445, root_relative_squared_error: 0.892, scimark_benchmark: 1325.942, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.3874, kappa: 0.0346, kb_relative_information_score: -13.4049, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.5651, predictive_accuracy: 0.49, prior_entropy: 0.9967, recall: 0.49, relative_absolute_error: 1.0247, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4316, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8341, kappa: 0.6671, kb_relative_information_score: 314.724, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8346, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7336, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7361, kappa: 0.4701, kb_relative_information_score: 234.2311, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7363, predictive_accuracy: 0.736, prior_entropy: 0.9967, recall: 0.736, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.03, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8452, kappa: 0.6886, kb_relative_information_score: 344.9626, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7867, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.698, kappa: 0.393, kb_relative_information_score: 195.5674, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6979, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0369, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7076, kappa: 0.412, kb_relative_information_score: 143.5369, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9967, recall: 0.708, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8979, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8577, kappa: 0.7138, kb_relative_information_score: 357.4336, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 0.9967, recall: 0.858, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6987, scimark_benchmark: 894.7455, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8458, kappa: 0.69, kb_relative_information_score: 343.514, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7169, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8196, kappa: 0.6371, kb_relative_information_score: 312.9106, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9967, recall: 0.82, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.791, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7935, kappa: 0.5846, kb_relative_information_score: 275.3392, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7941, predictive_accuracy: 0.794, prior_entropy: 0.9967, recall: 0.794, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8408, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7577, kappa: 0.5128, kb_relative_information_score: 243.7235, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7577, predictive_accuracy: 0.758, prior_entropy: 0.9967, recall: 0.758, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8914, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8739, kappa: 0.7465, kb_relative_information_score: 352.9028, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6152, scimark_benchmark: 938.4285, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8679, kappa: 0.7345, kb_relative_information_score: 339.2021, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6146, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.866, kappa: 0.7308, kb_relative_information_score: 326.8511, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9967, recall: 0.866, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6104, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8519, kappa: 0.7021, kb_relative_information_score: 300.857, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9967, recall: 0.852, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6403, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.1545, build_memory: 702826542.4, f_measure: 0.8258, kappa: 0.6497, kb_relative_information_score: 322.0517, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9967, recall: 0.826, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8293, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, build_cpu_time: 0.1118, build_memory: 555439317.6, f_measure: 0.8058, kappa: 0.6097, kb_relative_information_score: 304.9961, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8059, predictive_accuracy: 0.806, prior_entropy: 0.9967, recall: 0.806, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8659, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, build_cpu_time: 0.0627, build_memory: 1094552150.4, f_measure: 0.8095, kappa: 0.6169, kb_relative_information_score: 307.6584, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8308, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, build_cpu_time: 0.0211, build_memory: 1254128331.2, f_measure: 0.7957, kappa: 0.5892, kb_relative_information_score: 297.0032, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.9967, recall: 0.796, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.409, root_relative_squared_error: 0.82, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, build_cpu_time: 0.0099, build_memory: 159549103.2, f_measure: 0.7961, kappa: 0.5908, kb_relative_information_score: 281.3269, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7965, predictive_accuracy: 0.796, prior_entropy: 0.9967, recall: 0.796, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8116, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, build_cpu_time: 0.0128, build_memory: 1777579100.8, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, build_cpu_time: 0.0128, build_memory: 158779572.8, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, build_cpu_time: 0.0152, build_memory: 3610951193.6, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, build_cpu_time: 9.2269, build_memory: 32628086.4, f_measure: 0.8619, kappa: 0.7223, kb_relative_information_score: 337.6983, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9967, recall: 0.862, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6609, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 17.0508, build_memory: 719459389.6, f_measure: 0.8778, kappa: 0.7543, kb_relative_information_score: 366.3353, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6389, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 38.8615, build_memory: 115258616.8, f_measure: 0.8918, kappa: 0.7823, kb_relative_information_score: 384.0108, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8926, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6203, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, build_cpu_time: 70.4687, build_memory: 718458662.4, f_measure: 0.8978, kappa: 0.7944, kb_relative_information_score: 393.4685, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8985, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.619, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 142.1243, build_memory: 715772168, f_measure: 0.8799, kappa: 0.7585, kb_relative_information_score: 378.1455, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6747, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, build_cpu_time: 35.5168, build_memory: 59415660.8, f_measure: 0.9078, kappa: 0.8145, kb_relative_information_score: 406.459, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9086, predictive_accuracy: 0.908, prior_entropy: 0.9967, recall: 0.908, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.608, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 16.5801, build_memory: 211321683.2, f_measure: 0.8978, kappa: 0.7945, kb_relative_information_score: 397.1424, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8983, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6364, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 8.7116, build_memory: 156762022.4, f_measure: 0.8999, kappa: 0.7986, kb_relative_information_score: 397.9803, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6285, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, build_cpu_time: 3.6717, build_memory: 868043671.2, f_measure: 0.8878, kappa: 0.7743, kb_relative_information_score: 389.8116, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6479, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 2.0847, build_memory: 1487096636, f_measure: 0.8817, kappa: 0.7621, kb_relative_information_score: 380.2975, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6552, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, build_cpu_time: 0.2183, build_memory: 406879271.2, f_measure: 0.8759, kappa: 0.7504, kb_relative_information_score: 371.6598, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6516, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, build_cpu_time: 0.4273, build_memory: 713660285.6, f_measure: 0.874, kappa: 0.7468, kb_relative_information_score: 375.1062, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.663, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 0.9603, build_memory: 746395375.2, f_measure: 0.8838, kappa: 0.7663, kb_relative_information_score: 386.2681, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8843, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6465, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 1.7007, build_memory: 949954392.8, f_measure: 0.8976, kappa: 0.7941, kb_relative_information_score: 396.0858, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8994, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6288, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 3.948, build_memory: 1612508563.2, f_measure: 0.9059, kappa: 0.8107, kb_relative_information_score: 404.3325, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9063, predictive_accuracy: 0.906, prior_entropy: 0.9967, recall: 0.906, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6072, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, build_cpu_time: 0.4877, build_memory: 409269500, f_measure: 0.8878, kappa: 0.7742, kb_relative_information_score: 390.4668, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6342, scimark_benchmark: 945.0532,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs