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Function: require_once

OpenML
Task
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 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
Issue #Downvotes for this reason By


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905 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7264, kappa: 0.4255, kb_relative_information_score: 38.9172, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7266, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8622, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6092, kappa: 0.2529, kb_relative_information_score: 17.3753, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6648, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2747, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.696, kappa: 0.3612, kb_relative_information_score: 38.5315, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0992, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.708, kappa: 0.386, kb_relative_information_score: 12.8048, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.719, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9526, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6695, kappa: 0.3043, kb_relative_information_score: 32.1847, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6733, predictive_accuracy: 0.68, prior_entropy: 0.9721, recall: 0.68, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1547, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 37.6425, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8831, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.78, kappa: 0.5417, kb_relative_information_score: 53.3408, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9574, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7171, kappa: 0.4068, kb_relative_information_score: 30.2617, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7167, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9521, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6767, kappa: 0.322, kb_relative_information_score: 23.4885, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6757, predictive_accuracy: 0.68, prior_entropy: 0.9721, recall: 0.68, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0208, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.84, kappa: 0.6667, kb_relative_information_score: 66.0345, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8165, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.4261, kappa: -0.0837, kb_relative_information_score: -20.7058, mean_absolute_error: 0.57, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.4704, predictive_accuracy: 0.43, prior_entropy: 0.9721, recall: 0.43, relative_absolute_error: 1.1865, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.755, root_relative_squared_error: 1.5411, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.899, kappa: 0.7881, kb_relative_information_score: 79.5071, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.901, predictive_accuracy: 0.9, prior_entropy: 0.9721, recall: 0.9, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6221, scimark_benchmark: 922.9039, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7576, kappa: 0.4915, kb_relative_information_score: 39.8626, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7576, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9487, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7153, kappa: 0.4017, kb_relative_information_score: 40.6471, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.716, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0801, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 42.7627, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0607, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 39.5617, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9687, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7727, kappa: 0.5217, kb_relative_information_score: 50.4597, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7829, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9283, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7747, kappa: 0.5259, kb_relative_information_score: 46.4203, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8495, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 63.165, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8112, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7951, kappa: 0.569, kb_relative_information_score: 59.5864, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8323, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7857, kappa: 0.5494, kb_relative_information_score: 54.6104, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9043, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 50.7888, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9105, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7132, kappa: 0.3966, kb_relative_information_score: 41.6015, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7162, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.002, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 62.0416, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7895, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8296, kappa: 0.6444, kb_relative_information_score: 60.6026, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7724, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8288, kappa: 0.6414, kb_relative_information_score: 58.0242, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7415, scimark_benchmark: 924.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8288, kappa: 0.6414, kb_relative_information_score: 54.0934, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8291, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7462, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7857, kappa: 0.5494, kb_relative_information_score: 46.0545, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7695, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0037, build_memory: 856502220, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.0058, build_memory: 456898847.2, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.3646, build_memory: 331689608, f_measure: 0.8, kappa: 0.5833, kb_relative_information_score: 57.2885, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, build_cpu_time: 0.6907, build_memory: 642828757.6, f_measure: 0.7904, kappa: 0.5643, kb_relative_information_score: 54.242, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.791, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9048, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 1.304, build_memory: 577992324, f_measure: 0.82, kappa: 0.625, kb_relative_information_score: 60.2898, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8597, scimark_benchmark: 943.6487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 5.8052, build_memory: 952407424, f_measure: 0.8697, kappa: 0.728, kb_relative_information_score: 72.7181, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8696, predictive_accuracy: 0.87, prior_entropy: 0.9721, recall: 0.87, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7221, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 0.6268, build_memory: 742225970.4, f_measure: 0.8296, kappa: 0.6444, kb_relative_information_score: 63.978, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7928, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 0.0365, build_memory: 901315872, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 56.7866, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8564, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, build_cpu_time: 0.0763, build_memory: 1639557235.2, f_measure: 0.8277, kappa: 0.6383, kb_relative_information_score: 63.4398, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8111, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 0.165, build_memory: 460835152.8, f_measure: 0.8373, kappa: 0.6581, kb_relative_information_score: 65.0588, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8132, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 0.355, build_memory: 978707112.8, f_measure: 0.8277, kappa: 0.6383, kb_relative_information_score: 64.231, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8202, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 0.5809, build_memory: 966503181.6, f_measure: 0.8586, kappa: 0.7034, kb_relative_information_score: 70.2657, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7638, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 0.0497, build_memory: 502007447.2, f_measure: 0.8489, kappa: 0.6835, kb_relative_information_score: 68.213, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7592, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 0.0634, build_memory: 1467684151.2, f_measure: 0.8489, kappa: 0.6835, kb_relative_information_score: 68.1927, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7592, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.0375, build_memory: 817985762.4, f_measure: 0.8384, kappa: 0.661, kb_relative_information_score: 66.1063, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7858, scimark_benchmark: 923.9118,

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