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OpenML
Task
Supervised Classification on fri_c2_250_50

Supervised Classification on fri_c2_250_50

Task 3741 Supervised Classification fri_c2_250_50 563 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: 0.6092, f_measure: 0.6089, kappa: 0.2088, kb_relative_information_score: 30.9558, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6092, predictive_accuracy: 0.612, prior_entropy: 0.9934, recall: 0.612, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0533, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.5527, kappa: 0.229, kb_relative_information_score: 43.2783, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7081, predictive_accuracy: 0.592, prior_entropy: 0.9934, recall: 0.592, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2834, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.707, kappa: 0.4074, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7071, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.7234, kappa: 0.4407, kb_relative_information_score: 32.9376, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7233, predictive_accuracy: 0.724, prior_entropy: 0.9934, recall: 0.724, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9596, scimark_benchmark: 930.5999, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7038, kappa: 0.4016, kb_relative_information_score: 100.0182, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7036, predictive_accuracy: 0.704, prior_entropy: 0.9934, recall: 0.704, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0932, scimark_benchmark: 935.5075, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.6752, kappa: 0.3434, kb_relative_information_score: 70.2509, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.675, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.935, scimark_benchmark: 899.5042, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7914, kappa: 0.5782, kb_relative_information_score: 133.3633, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.819, scimark_benchmark: 1350.9691, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7914, kappa: 0.5782, kb_relative_information_score: 75.4184, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7948, scimark_benchmark: 1307.4861, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6839, kappa: 0.3616, kb_relative_information_score: 89.8861, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6838, predictive_accuracy: 0.684, prior_entropy: 0.9934, recall: 0.684, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1295, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8043, kappa: 0.6051, kb_relative_information_score: 121.2109, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8165, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7901, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7867, kappa: 0.5684, kb_relative_information_score: 122.3907, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8442, scimark_benchmark: 1354.2491, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.4964, kappa: 0.083, kb_relative_information_score: 35.1726, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5967, predictive_accuracy: 0.576, prior_entropy: 0.9934, recall: 0.576, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3083, scimark_benchmark: 1325.942, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2814, kb_relative_information_score: -27.6465, mean_absolute_error: 0.548, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.2043, predictive_accuracy: 0.452, prior_entropy: 0.9934, recall: 0.452, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.7403, root_relative_squared_error: 1.4874, scimark_benchmark: 1335.4072, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7484, kappa: 0.4933, kb_relative_information_score: 120.064, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7494, predictive_accuracy: 0.748, prior_entropy: 0.9934, recall: 0.748, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9909, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8179, kappa: 0.6318, kb_relative_information_score: 158.7845, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8525, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8035, kappa: 0.6028, kb_relative_information_score: 150.6788, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8037, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8895, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 129.9184, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9409, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6439, kappa: 0.2808, kb_relative_information_score: 69.7405, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6437, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5663, root_relative_squared_error: 1.1379, scimark_benchmark: 927.0753, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6204, kappa: 0.2347, kb_relative_information_score: 59.7588, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.621, predictive_accuracy: 0.62, prior_entropy: 0.9934, recall: 0.62, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.183, scimark_benchmark: 941.7954, usercpu_time_millis: 690, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6085, kappa: 0.2112, kb_relative_information_score: 49.139, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6093, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.185, scimark_benchmark: 923.7642, usercpu_time_millis: 380, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6044, kappa: 0.2025, kb_relative_information_score: 47.7587, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.605, predictive_accuracy: 0.604, prior_entropy: 0.9934, recall: 0.604, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5886, root_relative_squared_error: 1.1826, scimark_benchmark: 894.7455, usercpu_time_millis: 380, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.843, kappa: 0.6824, kb_relative_information_score: 166.9795, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.769, scimark_benchmark: 940.2922, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8155, kappa: 0.6268, kb_relative_information_score: 155.0326, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8159, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8072, scimark_benchmark: 938.2848, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8198, kappa: 0.6358, kb_relative_information_score: 151.3852, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.815, scimark_benchmark: 938.2848, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7753, kappa: 0.5457, kb_relative_information_score: 129.826, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7756, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8992, scimark_benchmark: 933.8635, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7748, kappa: 0.5443, kb_relative_information_score: 130.2082, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8979, scimark_benchmark: 938.4285, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8432, kappa: 0.6829, kb_relative_information_score: 164.8785, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8447, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7411, scimark_benchmark: 936.6206, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8347, kappa: 0.6656, kb_relative_information_score: 159.7729, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8381, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7115, scimark_benchmark: 924.6116, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8272, kappa: 0.6504, kb_relative_information_score: 145.4888, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7356, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8235, kappa: 0.6431, kb_relative_information_score: 136.3298, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9934, recall: 0.824, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7186, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 938.9865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, build_cpu_time: 0.4438, build_memory: 628948696.8, f_measure: 0.8313, kappa: 0.6588, kb_relative_information_score: 163.9935, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 0.9934, recall: 0.832, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8061, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, build_cpu_time: 0.2296, build_memory: 860828556, f_measure: 0.7918, kappa: 0.5795, kb_relative_information_score: 146.472, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7918, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8816, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, build_cpu_time: 0.1583, build_memory: 404226797.6, f_measure: 0.7867, kappa: 0.5684, kb_relative_information_score: 141.3655, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8853, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, build_cpu_time: 0.0863, build_memory: 1489812015.2, f_measure: 0.8077, kappa: 0.6112, kb_relative_information_score: 146.2352, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8313, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 0.027, build_memory: 386358216, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 147.9287, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8006, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, build_cpu_time: 0.1116, build_memory: 646218333.6, f_measure: 0.6077, kappa: 0.2075, kb_relative_information_score: 50.9559, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6074, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1503, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_cpu_time: 0.1915, build_memory: 766566264, f_measure: 0.6083, kappa: 0.2099, kb_relative_information_score: 47.558, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6086, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.1822, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, build_cpu_time: 0.2368, build_memory: 706713048, f_measure: 0.6044, kappa: 0.2025, kb_relative_information_score: 47.7597, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.605, predictive_accuracy: 0.604, prior_entropy: 0.9934, recall: 0.604, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5886, root_relative_squared_error: 1.1826, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, build_cpu_time: 0.2749, build_memory: 1984203044.8, f_measure: 0.6044, kappa: 0.2025, kb_relative_information_score: 47.7587, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.605, predictive_accuracy: 0.604, prior_entropy: 0.9934, recall: 0.604, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5886, root_relative_squared_error: 1.1826, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, build_cpu_time: 19.1533, build_memory: 975489517.6, f_measure: 0.8133, kappa: 0.6227, kb_relative_information_score: 153.4822, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8216, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7702, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, build_cpu_time: 36.5449, build_memory: 799553580, f_measure: 0.7986, kappa: 0.5925, kb_relative_information_score: 146.1084, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8652, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, build_cpu_time: 76.5661, build_memory: 22033482.4, f_measure: 0.8147, kappa: 0.6251, kb_relative_information_score: 154.0141, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8173, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8546, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, build_cpu_time: 294.1508, build_memory: 658364056.8, f_measure: 0.8391, kappa: 0.6745, kb_relative_information_score: 169.2398, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.841, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.799, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 76.678, build_memory: 1608152568, f_measure: 0.8436, kappa: 0.6839, kb_relative_information_score: 170.2851, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7915, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 38.3311, build_memory: 124809990.4, f_measure: 0.8315, kappa: 0.6593, kb_relative_information_score: 164.1745, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9934, recall: 0.832, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8165, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, build_cpu_time: 18.6325, build_memory: 93240768.8, f_measure: 0.8239, kappa: 0.6442, kb_relative_information_score: 161.9293, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9934, recall: 0.824, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8154, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, build_cpu_time: 9.3098, build_memory: 113327672, f_measure: 0.8358, kappa: 0.6682, kb_relative_information_score: 167.48, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.784, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 5.0887, build_memory: 1519214079.2, f_measure: 0.8077, kappa: 0.6112, kb_relative_information_score: 150.8046, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.418, root_relative_squared_error: 0.84, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, build_cpu_time: 0.9491, build_memory: 426640670.4, f_measure: 0.8476, kappa: 0.6917, kb_relative_information_score: 162.8272, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7661, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 3.8438, build_memory: 1034380281.6, f_measure: 0.8397, kappa: 0.676, kb_relative_information_score: 167.9467, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7847, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, build_cpu_time: 8.6417, build_memory: 371937561.6, f_measure: 0.8595, kappa: 0.7159, kb_relative_information_score: 177.3239, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7476, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, build_cpu_time: 3.013, build_memory: 968860089.6, f_measure: 0.8878, kappa: 0.7732, kb_relative_information_score: 192.9081, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6671, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, build_cpu_time: 2.6313, build_memory: 781949132, f_measure: 0.8919, kappa: 0.7815, kb_relative_information_score: 195.0275, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9934, recall: 0.892, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.327, root_relative_squared_error: 0.657, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 1.1303, build_memory: 306106096.8, f_measure: 0.8999, kappa: 0.7977, kb_relative_information_score: 196.548, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9934, recall: 0.9, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6384, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.5881, build_memory: 1139531842.4, f_measure: 0.8878, kappa: 0.7732, kb_relative_information_score: 189.3462, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6649, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, build_cpu_time: 0.3826, build_memory: 457165345.6, f_measure: 0.8347, kappa: 0.6656, kb_relative_information_score: 168.3332, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8381, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7408, scimark_benchmark: 934.2858,

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