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OpenML
Task
Supervised Classification on fri_c3_100_25

Supervised Classification on fri_c3_100_25

Task 3634 Supervised Classification fri_c3_100_25 552 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: 0.617, f_measure: 0.5776, kappa: 0.1446, kb_relative_information_score: 14.1233, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5771, predictive_accuracy: 0.58, prior_entropy: 0.9931, recall: 0.58, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0513, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.6006, kappa: 0.1942, kb_relative_information_score: 20.8793, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6064, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2553, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.6, kappa: 0.1919, kb_relative_information_score: 18.8513, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2713, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5904, kappa: 0.1734, kb_relative_information_score: 7.2241, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5909, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0306, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5704, kappa: 0.1331, kb_relative_information_score: 12.7672, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5709, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3181, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6296, kappa: 0.251, kb_relative_information_score: 16.9979, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6293, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0104, scimark_benchmark: 894.7222, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 41.2381, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8749, scimark_benchmark: 1372.2145, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6529, kappa: 0.299, kb_relative_information_score: 14.1735, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6596, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9129, scimark_benchmark: 1316.0472, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.56, kappa: 0.1111, kb_relative_information_score: 10.7392, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3333, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.6191, kappa: 0.2292, kb_relative_information_score: 18.8395, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0056, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.74, kappa: 0.4747, kb_relative_information_score: 41.4906, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9467, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5307, kappa: 0.1068, kb_relative_information_score: 6.6832, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5673, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3633, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2793, kb_relative_information_score: -11.569, mean_absolute_error: 0.55, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.2025, predictive_accuracy: 0.45, prior_entropy: 0.9931, recall: 0.45, relative_absolute_error: 1.1109, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.7416, root_relative_squared_error: 1.4907, scimark_benchmark: 1308.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 30.4169, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0698, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6285, kappa: 0.248, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6282, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.6203, kappa: 0.2453, kb_relative_information_score: 26.9634, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6466, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6, root_relative_squared_error: 1.206, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 38.5145, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0211, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.5465, kappa: 0.0816, kb_relative_information_score: 9.2753, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5458, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2728, scimark_benchmark: 931.2336, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.52, kappa: 0.0303, kb_relative_information_score: 2.6615, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 0.9931, recall: 0.52, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3089, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.5112, kappa: 0.02, kb_relative_information_score: 1.4647, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.515, predictive_accuracy: 0.51, prior_entropy: 0.9931, recall: 0.51, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.639, root_relative_squared_error: 1.2843, scimark_benchmark: 941.7954, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5509, kappa: 0.1036, kb_relative_information_score: 10.3822, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5573, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5966, root_relative_squared_error: 1.1992, scimark_benchmark: 923.7642, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5411, kappa: 0.0782, kb_relative_information_score: 9.2972, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5439, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2071, scimark_benchmark: 894.7455, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 47.297, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9688, scimark_benchmark: 936.6206, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 43.7635, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9801, scimark_benchmark: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.6897, kappa: 0.3725, kb_relative_information_score: 38.8309, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9967, scimark_benchmark: 942.1229, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6592, kappa: 0.3103, kb_relative_information_score: 28.6668, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6589, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0359, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5737, kappa: 0.1376, kb_relative_information_score: 12.6849, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.575, predictive_accuracy: 0.58, prior_entropy: 0.9931, recall: 0.58, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1237, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7697, kappa: 0.5344, kb_relative_information_score: 50.1461, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9141, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.749, kappa: 0.4919, kb_relative_information_score: 45.5704, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9223, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7103, kappa: 0.4153, kb_relative_information_score: 41.4979, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7107, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.915, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6675, kappa: 0.3265, kb_relative_information_score: 32.0797, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6683, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9496, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, build_cpu_time: 0.0969, build_memory: 282230348, f_measure: 0.7898, kappa: 0.5749, kb_relative_information_score: 57.4288, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7897, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9064, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, build_cpu_time: 0.0552, build_memory: 1183803744, f_measure: 0.7404, kappa: 0.4769, kb_relative_information_score: 49.3682, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7414, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9692, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, build_cpu_time: 0.0384, build_memory: 354282061.6, f_measure: 0.76, kappa: 0.5152, kb_relative_information_score: 47.7443, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9637, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, build_cpu_time: 0.0131, build_memory: 1924409868, f_measure: 0.7691, kappa: 0.5325, kb_relative_information_score: 49.533, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9321, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 0.0063, build_memory: 675266918.4, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 38.9824, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9529, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, build_cpu_time: 0.0203, build_memory: 868490872, f_measure: 0.5695, kappa: 0.1296, kb_relative_information_score: 10.5008, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5692, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.16, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, build_cpu_time: 0.0324, build_memory: 1915707237.6, f_measure: 0.551, kappa: 0.0964, kb_relative_information_score: 8.8294, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5529, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.1987, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, build_cpu_time: 0.0424, build_memory: 1035073127.2, f_measure: 0.5411, kappa: 0.0782, kb_relative_information_score: 9.2972, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5439, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2071, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, build_cpu_time: 0.0392, build_memory: 673357212.8, f_measure: 0.5411, kappa: 0.0782, kb_relative_information_score: 9.2972, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5439, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2071, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, build_cpu_time: 0.0403, build_memory: 3249121752, f_measure: 0.5411, kappa: 0.0782, kb_relative_information_score: 9.2972, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5439, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2071, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, build_cpu_time: 1.3689, build_memory: 813024763.2, f_measure: 0.6325, kappa: 0.2577, kb_relative_information_score: 25.4248, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6382, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.1201, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, build_cpu_time: 3.1706, build_memory: 639190992, f_measure: 0.5977, kappa: 0.1853, kb_relative_information_score: 18.9251, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5974, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5986, root_relative_squared_error: 1.2033, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, build_cpu_time: 5.3292, build_memory: 1066454499.2, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 35.8433, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0732, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 22.0747, build_memory: 255395616.8, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 39.7102, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0571, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, build_cpu_time: 11.6016, build_memory: 253456465.6, f_measure: 0.6897, kappa: 0.3725, kb_relative_information_score: 35.8255, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5589, root_relative_squared_error: 1.1235, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, build_cpu_time: 5.758, build_memory: 370914843.2, f_measure: 0.6486, kappa: 0.2886, kb_relative_information_score: 29.617, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6484, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.578, root_relative_squared_error: 1.1619, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, build_cpu_time: 3.0344, build_memory: 819730916, f_measure: 0.7089, kappa: 0.4106, kb_relative_information_score: 37.9804, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.709, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0466, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, build_cpu_time: 1.5078, build_memory: 1453476856, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0362, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0371, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, build_cpu_time: 0.769, build_memory: 818946240.8, f_measure: 0.6303, kappa: 0.254, kb_relative_information_score: 25.6911, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6308, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, build_cpu_time: 0.1906, build_memory: 369201302.4, f_measure: 0.6568, kappa: 0.3125, kb_relative_information_score: 31.1326, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6764, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5456, root_relative_squared_error: 1.0968, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.365, build_memory: 1327891397.6, f_measure: 0.6983, kappa: 0.389, kb_relative_information_score: 36.8957, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6988, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0676, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, build_cpu_time: 0.8149, build_memory: 422623464.8, f_measure: 0.6687, kappa: 0.3293, kb_relative_information_score: 34.1774, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.1074, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, build_cpu_time: 1.3814, build_memory: 131514577.6, f_measure: 0.7097, kappa: 0.413, kb_relative_information_score: 41.066, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7095, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0741, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 3.4119, build_memory: 688335205.6, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.8369, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0283, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, build_cpu_time: 0.1538, build_memory: 376321939.2, f_measure: 0.7706, kappa: 0.54, kb_relative_information_score: 53.1199, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9262, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, build_cpu_time: 0.2498, build_memory: 1152396236.8, f_measure: 0.7706, kappa: 0.54, kb_relative_information_score: 53.1199, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9262, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, build_cpu_time: 0.1791, build_memory: 596285222.4, f_measure: 0.7904, kappa: 0.5783, kb_relative_information_score: 55.4602, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7923, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8959, scimark_benchmark: 913.3372,

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