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
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  • 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: 0.768, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8174, kappa: 0.6326, kb_relative_information_score: 252.4074, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8186, predictive_accuracy: 0.818, prior_entropy: 0.9967, recall: 0.818, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7106, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.5672, kappa: 0.2198, kb_relative_information_score: 66.1818, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6648, predictive_accuracy: 0.596, prior_entropy: 0.9967, recall: 0.596, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9704, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8113, kappa: 0.6204, kb_relative_information_score: 262.5026, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8127, predictive_accuracy: 0.812, prior_entropy: 0.9967, recall: 0.812, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7272, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8699, kappa: 0.7383, kb_relative_information_score: 349.6994, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6318, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8093, kappa: 0.6165, kb_relative_information_score: 247.9124, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7174, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3718, kb_relative_information_score: 30.8877, mean_absolute_error: 0.466, 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: 0.9363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3685, scimark_benchmark: 947.9494,
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: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8418, kappa: 0.6819, kb_relative_information_score: 167.4914, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7644, scimark_benchmark: 918.4924, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7556, kappa: 0.5084, kb_relative_information_score: 135.2517, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8533, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7406, kappa: 0.4923, kb_relative_information_score: 252.3508, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7941, predictive_accuracy: 0.754, prior_entropy: 0.9967, recall: 0.754, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9943, scimark_benchmark: 901.0726, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
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: 942.1229, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8258, kappa: 0.6497, kb_relative_information_score: 304.6976, mean_absolute_error: 0.1996, 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: 0.401, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7189, scimark_benchmark: 936.6206, usercpu_time_millis: 1010, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8878, kappa: 0.7745, kb_relative_information_score: 388.4902, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6631, scimark_benchmark: 935.8834, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8978, kappa: 0.7944, kb_relative_information_score: 397.171, mean_absolute_error: 0.1022, 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: 0.2053, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6385, scimark_benchmark: 915.2795, usercpu_time_millis: 1370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.866, kappa: 0.7307, kb_relative_information_score: 363.6806, mean_absolute_error: 0.1355, 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: 0.2722, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7039, scimark_benchmark: 942.6953, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.6564, kappa: 0.3122, kb_relative_information_score: 84.4363, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6585, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9478, scimark_benchmark: 947.0793, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 376.6485, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6324, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8592, kappa: 0.7168, kb_relative_information_score: 305.2179, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6749, scimark_benchmark: 923.9763,
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: 935.8986, usercpu_time_millis: 340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7123, kappa: 0.4235, kb_relative_information_score: 210.0715, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7138, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0758, scimark_benchmark: 908.0036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, build_cpu_time: 0.0733, build_memory: 1328038102.4, f_measure: 0.698, kappa: 0.3934, kb_relative_information_score: 119.054, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6981, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9064, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, build_cpu_time: 0.0679, build_memory: 1067479699.2, f_measure: 0.698, kappa: 0.3934, kb_relative_information_score: 119.054, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6981, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9064, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, build_cpu_time: 0.067, build_memory: 835787503.2, f_measure: 0.698, kappa: 0.3934, kb_relative_information_score: 119.054, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6981, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9064, scimark_benchmark: 907.1899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 0.0529, build_memory: 651263811.2, f_measure: 0.8879, kappa: 0.7747, kb_relative_information_score: 377.2862, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6236, scimark_benchmark: 941.7891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, build_cpu_time: 0.3306, build_memory: 2591752490.4, f_measure: 0.8918, kappa: 0.7824, kb_relative_information_score: 394.5396, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8923, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6179, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.1993, build_memory: 1083382813.6, f_measure: 0.8998, kappa: 0.7984, kb_relative_information_score: 398.2969, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6091, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.1207, build_memory: 1249830455.2, f_measure: 0.8857, kappa: 0.77, kb_relative_information_score: 383.475, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8869, predictive_accuracy: 0.886, prior_entropy: 0.9967, recall: 0.886, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6372, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, build_cpu_time: 0.0622, build_memory: 943039008.8, f_measure: 0.8918, kappa: 0.7823, kb_relative_information_score: 392.4094, mean_absolute_error: 0.1069, 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: 0.2148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6282, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 0.2605, build_memory: 106624430.4, f_measure: 0.8939, kappa: 0.7866, kb_relative_information_score: 390.2625, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9967, recall: 0.894, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6517, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.537, build_memory: 553948940, f_measure: 0.8878, kappa: 0.7745, kb_relative_information_score: 388.4902, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6631, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 1.1562, build_memory: 753538552.8, f_measure: 0.8978, kappa: 0.7944, kb_relative_information_score: 397.171, mean_absolute_error: 0.1022, 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: 0.2053, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6385, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0262, build_memory: 335917036, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0402, build_memory: 838611790.4, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0242, build_memory: 63179109.6, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 919.5971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.1978, build_memory: 45478724.8, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 353.7801, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.5981, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 1.4739, build_memory: 1251593503.2, f_measure: 0.8817, kappa: 0.7619, kb_relative_information_score: 382.1997, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6823, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 0.7833, build_memory: 354904158.4, f_measure: 0.8878, kappa: 0.7743, kb_relative_information_score: 389.4609, mean_absolute_error: 0.1097, 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: 0.2205, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6563, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 0.3734, build_memory: 633408050.4, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 378.256, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6755, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.1876, build_memory: 124871764.8, f_measure: 0.866, kappa: 0.7307, kb_relative_information_score: 363.6806, mean_absolute_error: 0.1355, 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: 0.2722, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7039, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, build_cpu_time: 0.2968, build_memory: 56090095.2, f_measure: 0.6564, kappa: 0.3122, kb_relative_information_score: 84.4363, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6585, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9478, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.2059, build_memory: 117609823.2, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 376.6485, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6324, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, build_cpu_time: 0.0018, build_memory: 630984325.6, f_measure: 0.8592, kappa: 0.7168, kb_relative_information_score: 305.2179, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6749, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, build_cpu_time: 0.0866, build_memory: 192320828.8, 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: 938.6628,

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