OpenML
Supervised Classification on breastTumor

Supervised Classification on breastTumor

Task 4414 Supervised Classification breastTumor 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.4954, kappa: -0.02, kb_relative_information_score: -36.2407, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5004, predictive_accuracy: 0.5381, prior_entropy: 0.9815, recall: 0.5381, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0572, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.6041, kappa: 0.1863, kb_relative_information_score: 62.7304, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6037, predictive_accuracy: 0.6045, prior_entropy: 0.9815, recall: 0.6045, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0076, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5972, kappa: 0.1755, kb_relative_information_score: 149.9518, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5985, predictive_accuracy: 0.5962, prior_entropy: 0.9815, recall: 0.5962, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0412, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.558, kappa: 0.0875, kb_relative_information_score: 112.3673, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.556, predictive_accuracy: 0.5626, prior_entropy: 0.9815, recall: 0.5626, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0441, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5512, kappa: 0.0776, kb_relative_information_score: 142.1159, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5507, predictive_accuracy: 0.5517, prior_entropy: 0.9815, recall: 0.5517, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0776, scimark_benchmark: 938.8177, usercpu_time_millis: 1100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6016, kappa: 0.1852, kb_relative_information_score: 331.1775, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6033, predictive_accuracy: 0.6004, prior_entropy: 0.9815, recall: 0.6004, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0249, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 944.1783, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.607, kappa: 0.2042, kb_relative_information_score: 421.6837, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6139, predictive_accuracy: 0.6045, prior_entropy: 0.9815, recall: 0.6045, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9995, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5148, kappa: 0.0001, kb_relative_information_score: 13.9773, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.513, predictive_accuracy: 0.5175, prior_entropy: 0.9815, recall: 0.5175, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1049, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.4954, kappa: -0.02, kb_relative_information_score: -36.2407, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5004, predictive_accuracy: 0.5381, prior_entropy: 0.9815, recall: 0.5381, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0572, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.6041, kappa: 0.1863, kb_relative_information_score: 62.7304, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6037, predictive_accuracy: 0.6045, prior_entropy: 0.9815, recall: 0.6045, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0076, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5972, kappa: 0.1755, kb_relative_information_score: 149.9518, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5985, predictive_accuracy: 0.5962, prior_entropy: 0.9815, recall: 0.5962, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0412, scimark_benchmark: 940.1541, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 934.7923, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.558, kappa: 0.0875, kb_relative_information_score: 112.3673, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.556, predictive_accuracy: 0.5626, prior_entropy: 0.9815, recall: 0.5626, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0441, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5512, kappa: 0.0776, kb_relative_information_score: 142.1159, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5507, predictive_accuracy: 0.5517, prior_entropy: 0.9815, recall: 0.5517, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0776, scimark_benchmark: 938.4601, usercpu_time_millis: 1250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6016, kappa: 0.1852, kb_relative_information_score: 331.1775, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6033, predictive_accuracy: 0.6004, prior_entropy: 0.9815, recall: 0.6004, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0249, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5148, kappa: 0.0001, kb_relative_information_score: 13.9773, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.513, predictive_accuracy: 0.5175, prior_entropy: 0.9815, recall: 0.5175, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1049, scimark_benchmark: 936.3213, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.5792, kappa: 0.1318, kb_relative_information_score: 115.7662, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5776, predictive_accuracy: 0.5825, prior_entropy: 0.9815, recall: 0.5825, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0039, scimark_benchmark: 901.4991, usercpu_time_millis: 2060, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5774, kappa: 0.1281, kb_relative_information_score: 114.1687, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5757, predictive_accuracy: 0.5808, prior_entropy: 0.9815, recall: 0.5808, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0055, scimark_benchmark: 938.4601, usercpu_time_millis: 990, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5738, kappa: 0.121, kb_relative_information_score: 114.3552, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5722, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0055, scimark_benchmark: 862.7006, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5743, kappa: 0.1225, kb_relative_information_score: 114.5998, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5728, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0067, scimark_benchmark: 944.235, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.567, kappa: 0.1073, kb_relative_information_score: 116.8539, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5654, predictive_accuracy: 0.5696, prior_entropy: 0.9815, recall: 0.5696, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0095, scimark_benchmark: 942.5233, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6166, kappa: 0.2133, kb_relative_information_score: 300.9109, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6168, predictive_accuracy: 0.6164, prior_entropy: 0.9815, recall: 0.6164, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0088, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6166, kappa: 0.2133, kb_relative_information_score: 300.9109, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6168, predictive_accuracy: 0.6164, prior_entropy: 0.9815, recall: 0.6164, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0088, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6166, kappa: 0.2133, kb_relative_information_score: 300.9109, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6168, predictive_accuracy: 0.6164, prior_entropy: 0.9815, recall: 0.6164, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0088, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6212, kappa: 0.2229, kb_relative_information_score: 306.9043, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6215, predictive_accuracy: 0.621, prior_entropy: 0.9815, recall: 0.621, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0053, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6341, kappa: 0.2501, kb_relative_information_score: 293.2516, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6348, predictive_accuracy: 0.6336, prior_entropy: 0.9815, recall: 0.6336, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9902, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.3767, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6162, kappa: 0.2069, kb_relative_information_score: 493.4602, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6158, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0713, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.607, kappa: 0.2042, kb_relative_information_score: 421.6837, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6139, predictive_accuracy: 0.6045, prior_entropy: 0.9815, recall: 0.6045, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9995, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5512, kappa: 0.0776, kb_relative_information_score: 142.118, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5507, predictive_accuracy: 0.5517, prior_entropy: 0.9815, recall: 0.5517, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0776, scimark_benchmark: 1351.3088, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6016, kappa: 0.1852, kb_relative_information_score: 331.1775, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6033, predictive_accuracy: 0.6004, prior_entropy: 0.9815, recall: 0.6004, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0249, scimark_benchmark: 1332.1612, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5512, kappa: 0.0776, kb_relative_information_score: 142.118, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5507, predictive_accuracy: 0.5517, prior_entropy: 0.9815, recall: 0.5517, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0776, scimark_benchmark: 1313.5633, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6016, kappa: 0.1852, kb_relative_information_score: 331.1775, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6033, predictive_accuracy: 0.6004, prior_entropy: 0.9815, recall: 0.6004, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0249, scimark_benchmark: 1358.6198, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5148, kappa: 0.0001, kb_relative_information_score: 13.9773, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.513, predictive_accuracy: 0.5175, prior_entropy: 0.9815, recall: 0.5175, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1049, scimark_benchmark: 1354.5533, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5985, kappa: 0.1762, kb_relative_information_score: 278.1781, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5988, predictive_accuracy: 0.5983, prior_entropy: 0.9815, recall: 0.5983, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0166, scimark_benchmark: 1331.2559, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.6041, kappa: 0.1863, kb_relative_information_score: 62.7304, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6037, predictive_accuracy: 0.6045, prior_entropy: 0.9815, recall: 0.6045, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0076, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5972, kappa: 0.1755, kb_relative_information_score: 149.9518, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5985, predictive_accuracy: 0.5962, prior_entropy: 0.9815, recall: 0.5962, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0412, scimark_benchmark: 1321.8132, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.6297, kappa: 0.2397, kb_relative_information_score: 283.9177, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.6297, predictive_accuracy: 0.6297, prior_entropy: 0.9815, recall: 0.6297, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9766, scimark_benchmark: 1310.3168, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 1325.3966, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.558, kappa: 0.0875, kb_relative_information_score: 112.3673, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.556, predictive_accuracy: 0.5626, prior_entropy: 0.9815, recall: 0.5626, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0441, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5978, kappa: 0.1815, kb_relative_information_score: 298.6532, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.602, predictive_accuracy: 0.5958, prior_entropy: 0.9815, recall: 0.5958, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0234, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4902, kappa: 0.0274, kb_relative_information_score: 347.715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 2860, precision: 0.5428, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 1345.1736, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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

OpenML bootcamp

From your own software

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

OpenML APIs