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OpenML
Task
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 3732 Supervised Classification fri_c4_100_25 562 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: 0.6673, f_measure: 0.6087, kappa: 0.2112, kb_relative_information_score: 19.9982, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6085, predictive_accuracy: 0.61, prior_entropy: 0.9956, recall: 0.61, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0105, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6463, kappa: 0.3121, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.673, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 7.1603, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6605, kappa: 0.32, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6632, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6648, kappa: 0.326, kb_relative_information_score: 21.7904, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6708, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9545, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6205, kappa: 0.2376, kb_relative_information_score: 23.3033, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2368, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 899.5042, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7271, kappa: 0.4503, kb_relative_information_score: 42.4851, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7316, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8785, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1350.9691, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1361.1055, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6697, kappa: 0.3347, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6695, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6903, kappa: 0.3822, kb_relative_information_score: 29.2838, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7103, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9652, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6961, kappa: 0.3883, kb_relative_information_score: 33.9716, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7014, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9897, scimark_benchmark: 1354.2491, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6181, kappa: 0.2512, kb_relative_information_score: 27.339, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6541, predictive_accuracy: 0.64, prior_entropy: 0.9956, recall: 0.64, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2039, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2899, kb_relative_information_score: -8.9826, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2116, predictive_accuracy: 0.46, prior_entropy: 0.9956, recall: 0.46, relative_absolute_error: 1.0868, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4744, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7446, kappa: 0.4877, kb_relative_information_score: 48.3883, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7585, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9484, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7698, kappa: 0.5363, kb_relative_information_score: 53.5712, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7697, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9622, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7241, kappa: 0.4467, kb_relative_information_score: 45.4998, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.737, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0426, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7579, kappa: 0.5122, kb_relative_information_score: 48.45, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9398, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6488, kappa: 0.2921, kb_relative_information_score: 30.8144, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.1067, scimark_benchmark: 927.0753, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6583, kappa: 0.3112, kb_relative_information_score: 30.5653, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6588, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.1434, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6369, kappa: 0.2683, kb_relative_information_score: 25.8295, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6385, predictive_accuracy: 0.64, prior_entropy: 0.9956, recall: 0.64, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1778, scimark_benchmark: 941.7954, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 24.5238, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.1708, scimark_benchmark: 923.7642, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 24.0659, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1749, scimark_benchmark: 894.7455, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7298, kappa: 0.4556, kb_relative_information_score: 46.2963, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7297, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0098, scimark_benchmark: 911.3823, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7387, kappa: 0.4733, kb_relative_information_score: 46.2265, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9978, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7282, kappa: 0.4521, kb_relative_information_score: 46.6272, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7301, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9706, scimark_benchmark: 938.2848, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7483, kappa: 0.4927, kb_relative_information_score: 49.4219, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9272, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7461, kappa: 0.4894, kb_relative_information_score: 47.415, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7548, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9565, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7404, kappa: 0.48, kb_relative_information_score: 46.2074, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7432, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9793, scimark_benchmark: 938.4285, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7498, kappa: 0.496, kb_relative_information_score: 47.1099, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7497, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8722, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7298, kappa: 0.4556, kb_relative_information_score: 38.9702, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7297, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8875, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, build_cpu_time: 0.142, build_memory: 682388119.2, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 61.149, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8618, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 0.0498, build_memory: 1298565720.8, f_measure: 0.7996, kappa: 0.5961, kb_relative_information_score: 60.2803, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8685, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, build_cpu_time: 0.0364, build_memory: 554384964, f_measure: 0.7702, kappa: 0.5378, kb_relative_information_score: 54.0636, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9063, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, build_cpu_time: 0.0123, build_memory: 1130792698.4, f_measure: 0.6944, kappa: 0.3863, kb_relative_information_score: 39.0108, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7035, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0517, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, build_cpu_time: 0.0071, build_memory: 562526156.8, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 43.7559, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9563, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0215, build_memory: 1320841964.8, f_measure: 0.62, kappa: 0.2351, kb_relative_information_score: 22.955, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1488, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, build_cpu_time: 0.0353, build_memory: 597243706.4, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 23.9328, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.585, root_relative_squared_error: 1.1737, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, build_cpu_time: 0.0467, build_memory: 1199992496, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 24.0642, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1749, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, build_cpu_time: 0.0472, build_memory: 1035853045.6, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 24.0659, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1749, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, build_cpu_time: 0.0577, build_memory: 1661194915.2, f_measure: 0.6192, kappa: 0.2326, kb_relative_information_score: 24.0659, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1749, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, build_cpu_time: 1.5288, build_memory: 21472649.6, f_measure: 0.688, kappa: 0.3709, kb_relative_information_score: 37.9966, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0476, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, build_cpu_time: 2.8283, build_memory: 808178807.2, f_measure: 0.6985, kappa: 0.3922, kb_relative_information_score: 40.1742, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0632, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, build_cpu_time: 6.056, build_memory: 24760191.2, f_measure: 0.7097, kappa: 0.4153, kb_relative_information_score: 42.1827, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7096, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0599, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, build_cpu_time: 12.0046, build_memory: 750920512.8, f_measure: 0.709, kappa: 0.4134, kb_relative_information_score: 42.1784, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.065, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, build_cpu_time: 23.8744, build_memory: 529436792, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 43.4825, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0617, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 12.0115, build_memory: 332417100, f_measure: 0.6288, kappa: 0.2516, kb_relative_information_score: 26.0146, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6287, predictive_accuracy: 0.63, prior_entropy: 0.9956, recall: 0.63, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.2065, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, build_cpu_time: 5.6148, build_memory: 230706949.6, f_measure: 0.6382, kappa: 0.2707, kb_relative_information_score: 26.6076, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6386, predictive_accuracy: 0.64, prior_entropy: 0.9956, recall: 0.64, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5978, root_relative_squared_error: 1.1994, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, build_cpu_time: 2.8548, build_memory: 137308732, f_measure: 0.6488, kappa: 0.2921, kb_relative_information_score: 28.7704, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6488, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.588, root_relative_squared_error: 1.1799, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, build_cpu_time: 1.4923, build_memory: 827235916, f_measure: 0.6393, kappa: 0.273, kb_relative_information_score: 26.8576, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6391, predictive_accuracy: 0.64, prior_entropy: 0.9956, recall: 0.64, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.191, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 0.7274, build_memory: 1614429623.2, f_measure: 0.66, kappa: 0.3156, kb_relative_information_score: 31.6295, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0951, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.182, build_memory: 582056360.8, f_measure: 0.76, kappa: 0.5169, kb_relative_information_score: 49.1195, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9454, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.4056, build_memory: 129178171.2, f_measure: 0.7692, kappa: 0.5348, kb_relative_information_score: 52.0684, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7699, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9265, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.8508, build_memory: 262878064.8, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 54.399, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9129, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, build_cpu_time: 3.0183, build_memory: 861992022.4, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 56.3267, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9229, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, build_cpu_time: 0.1484, build_memory: 930957036.8, f_measure: 0.7789, kappa: 0.5543, kb_relative_information_score: 54.9339, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9012, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 0.1096, build_memory: 1228292990.4, f_measure: 0.7692, kappa: 0.5348, kb_relative_information_score: 53.8387, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7699, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9009, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0749, build_memory: 502170621.6, f_measure: 0.7685, kappa: 0.5333, kb_relative_information_score: 53.1761, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7709, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9076, scimark_benchmark: 919.5971,

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