OpenML
Supervised Classification on fri_c0_1000_10

Supervised Classification on fri_c0_1000_10

Task 3710 Supervised Classification fri_c0_1000_10 438 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: 0.9487, f_measure: 0.872, kappa: 0.7439, kb_relative_information_score: 543.3106, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6321, scimark_benchmark: 939.8002, usercpu_time_millis: 2720, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 549.3406, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9998, recall: 0.876, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6273, scimark_benchmark: 906.8974, usercpu_time_millis: 1490, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.861, kappa: 0.7218, kb_relative_information_score: 528.0587, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8611, predictive_accuracy: 0.861, prior_entropy: 0.9998, recall: 0.861, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512, scimark_benchmark: 939.5607, usercpu_time_millis: 710, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.848, kappa: 0.6959, kb_relative_information_score: 531.5582, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9998, recall: 0.848, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6588, scimark_benchmark: 936.7184, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.857, kappa: 0.714, kb_relative_information_score: 657.6076, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8571, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6457, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.857, kappa: 0.714, kb_relative_information_score: 657.6076, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8571, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6457, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 655.9226, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9998, recall: 0.854, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6413, scimark_benchmark: 936.7184, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 646.2485, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.316, root_relative_squared_error: 0.632, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 566.3143, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9998, recall: 0.838, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6699, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.3434, kb_relative_information_score: -0.006, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.2591, predictive_accuracy: 0.509, prior_entropy: 0.9998, recall: 0.509, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8759, kappa: 0.7518, kb_relative_information_score: 735.1765, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9998, recall: 0.876, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6473, scimark_benchmark: 926.5859, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.867, kappa: 0.7338, kb_relative_information_score: 722.7881, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8671, predictive_accuracy: 0.867, prior_entropy: 0.9998, recall: 0.867, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6563, scimark_benchmark: 935.6052, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.839, kappa: 0.6778, kb_relative_information_score: 668.1177, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8391, predictive_accuracy: 0.839, prior_entropy: 0.9998, recall: 0.839, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6973, scimark_benchmark: 940.0055, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.7965, kappa: 0.5933, kb_relative_information_score: 563.8865, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7985, predictive_accuracy: 0.797, prior_entropy: 0.9998, recall: 0.797, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7997, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7075, kappa: 0.4321, kb_relative_information_score: 412.0966, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7488, predictive_accuracy: 0.718, prior_entropy: 0.9998, recall: 0.718, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9148, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3434, kb_relative_information_score: 17.5417, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.2591, predictive_accuracy: 0.509, prior_entropy: 0.9998, recall: 0.509, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4017, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8299, kappa: 0.6597, kb_relative_information_score: 627.8499, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9998, recall: 0.83, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, scimark_benchmark: 942.6192, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.844, kappa: 0.6878, kb_relative_information_score: 273.9161, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9998, recall: 0.844, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8063, scimark_benchmark: 924.4107, usercpu_time_millis: 1720, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7409, kappa: 0.4817, kb_relative_information_score: 195.689, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.741, predictive_accuracy: 0.741, prior_entropy: 0.9998, recall: 0.741, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8736, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 919.6941, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 934.929, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 945.0194, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 946.8777, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 922.5036, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.867, kappa: 0.7339, kb_relative_information_score: 608.5118, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 0.9998, recall: 0.867, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6252, scimark_benchmark: 938.5476, usercpu_time_millis: 9690, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 9560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8169, kappa: 0.6337, kb_relative_information_score: 510.8099, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8173, predictive_accuracy: 0.817, prior_entropy: 0.9998, recall: 0.817, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 952.4682, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.859, kappa: 0.7179, kb_relative_information_score: 564.9129, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324, scimark_benchmark: 879.4299, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1337.1889, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1332.1612,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 454.9785, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 1350.7721, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 1330.3848, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 1321.8321, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.825, kappa: 0.6498, kb_relative_information_score: 550.6952, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 0.9998, recall: 0.825, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6996, scimark_benchmark: 1342.2845, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1318.6467, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1332.7555, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 570.7143, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9998, recall: 0.86, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 1306.468, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 511.1181, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.9998, recall: 0.806, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.827, kappa: 0.6538, kb_relative_information_score: 436.951, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7145, scimark_benchmark: 1318.3027, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.842, kappa: 0.6839, kb_relative_information_score: 538.1298, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.682, scimark_benchmark: 1306.5596, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1322.7257, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1319.688, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.811, kappa: 0.6219, kb_relative_information_score: 489.1482, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9998, recall: 0.811, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7009, scimark_benchmark: 1397.3209, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.857, kappa: 0.7139, kb_relative_information_score: 713.8659, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7564, scimark_benchmark: 1346.9165, usercpu_time_millis: 210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.819, kappa: 0.6378, kb_relative_information_score: 473.4435, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.819, predictive_accuracy: 0.819, prior_entropy: 0.9998, recall: 0.819, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7056, scimark_benchmark: 1260.1387,

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

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

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

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