Task
Supervised Classification on pm10

Supervised Classification on pm10

Task 4321 Supervised Classification pm10 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.5983, kappa: 0.1977, kb_relative_information_score: 460.225, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5999, predictive_accuracy: 0.5996, prior_entropy: 0.9998, recall: 0.5996, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, build_cpu_time: 0.1327, build_memory: 731847669.76, f_measure: 0.5983, kappa: 0.1977, kb_relative_information_score: 460.225, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5999, predictive_accuracy: 0.5996, prior_entropy: 0.9998, recall: 0.5996, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 942.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, build_cpu_time: 0.1264, build_memory: 1599298219.52, f_measure: 0.5983, kappa: 0.1977, kb_relative_information_score: 460.225, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5999, predictive_accuracy: 0.5996, prior_entropy: 0.9998, recall: 0.5996, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 942.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, build_cpu_time: 0.2518, build_memory: 552130790.24, f_measure: 0.6058, kappa: 0.2135, kb_relative_information_score: 459.7601, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6084, predictive_accuracy: 0.6076, prior_entropy: 0.9998, recall: 0.6076, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9728, scimark_benchmark: 943.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, build_cpu_time: 0.4915, build_memory: 746950812.64, f_measure: 0.6062, kappa: 0.2146, kb_relative_information_score: 461.7575, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6091, predictive_accuracy: 0.6082, prior_entropy: 0.9998, recall: 0.6082, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9689, scimark_benchmark: 942.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_cpu_time: 0.8243, build_memory: 228144129.28, f_measure: 0.6111, kappa: 0.2242, kb_relative_information_score: 470.3955, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.614, predictive_accuracy: 0.613, prior_entropy: 0.9998, recall: 0.613, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9658, scimark_benchmark: 938.2971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, build_cpu_time: 6.8647, build_memory: 205711650.72, f_measure: 0.6025, kappa: 0.2061, kb_relative_information_score: 385.9064, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6042, predictive_accuracy: 0.6038, prior_entropy: 0.9998, recall: 0.6038, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9689, scimark_benchmark: 851.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, build_cpu_time: 0.1842, build_memory: 980124588.88, f_measure: 0.5667, kappa: 0.1357, kb_relative_information_score: 654.9908, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.569, predictive_accuracy: 0.5688, prior_entropy: 0.9998, recall: 0.5688, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1615, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, build_cpu_time: 0.201, build_memory: 148081705.92, f_measure: 0.5667, kappa: 0.1357, kb_relative_information_score: 654.9908, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.569, predictive_accuracy: 0.5688, prior_entropy: 0.9998, recall: 0.5688, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1615, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, build_cpu_time: 0.3155, build_memory: 753690485.84, f_measure: 0.5808, kappa: 0.162, kb_relative_information_score: 786.8305, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5815, predictive_accuracy: 0.5816, prior_entropy: 0.9998, recall: 0.5816, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1732, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, build_cpu_time: 0.3835, build_memory: 922457195.76, f_measure: 0.5808, kappa: 0.162, kb_relative_information_score: 786.8305, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5815, predictive_accuracy: 0.5816, prior_entropy: 0.9998, recall: 0.5816, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1732, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, build_cpu_time: 0.6133, build_memory: 943314986.48, f_measure: 0.5944, kappa: 0.1892, kb_relative_information_score: 887.2316, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5952, predictive_accuracy: 0.5952, prior_entropy: 0.9998, recall: 0.5952, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5914, root_relative_squared_error: 1.1829, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, build_cpu_time: 0.623, build_memory: 870341368.8, f_measure: 0.5944, kappa: 0.1892, kb_relative_information_score: 887.2316, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5952, predictive_accuracy: 0.5952, prior_entropy: 0.9998, recall: 0.5952, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5914, root_relative_squared_error: 1.1829, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, build_cpu_time: 1.2171, build_memory: 1142209410.8, f_measure: 0.5989, kappa: 0.1977, kb_relative_information_score: 966.2813, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5991, predictive_accuracy: 0.5992, prior_entropy: 0.9998, recall: 0.5992, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5989, root_relative_squared_error: 1.1979, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, build_cpu_time: 2.8522, build_memory: 831439066.08, f_measure: 0.599, kappa: 0.1978, kb_relative_information_score: 985.8771, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5991, predictive_accuracy: 0.5992, prior_entropy: 0.9998, recall: 0.5992, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.2166, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.4852, kappa: 0.0541, kb_relative_information_score: 190.5202, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5415, predictive_accuracy: 0.5316, prior_entropy: 0.9998, recall: 0.5316, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0151, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.3119, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5346, kappa: 0.0896, kb_relative_information_score: 470.3332, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5499, predictive_accuracy: 0.5472, prior_entropy: 0.9998, recall: 0.5472, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6729, root_relative_squared_error: 1.346, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5275, kappa: 0.0566, kb_relative_information_score: 290.2672, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5287, predictive_accuracy: 0.5292, prior_entropy: 0.9998, recall: 0.5292, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6861, root_relative_squared_error: 1.3725, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.4771, kappa: 0.055, kb_relative_information_score: 121.8151, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5466, predictive_accuracy: 0.5324, prior_entropy: 0.9998, recall: 0.5324, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.008, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4835, f_measure: 0.4205, kappa: -0.0333, kb_relative_information_score: -111.8801, mean_absolute_error: 0.511, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.4693, predictive_accuracy: 0.489, prior_entropy: 0.9998, recall: 0.489, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7148, root_relative_squared_error: 1.4299, scimark_benchmark: 1321.6263, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5479, kappa: 0.098, kb_relative_information_score: 498.3435, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5499, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3418, scimark_benchmark: 1325.942, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.5531, kappa: 0.107, kb_relative_information_score: 391.7513, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.554, predictive_accuracy: 0.5542, prior_entropy: 0.9998, recall: 0.5542, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1157, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5543, kappa: 0.1111, kb_relative_information_score: 326.9894, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5566, predictive_accuracy: 0.5566, prior_entropy: 0.9998, recall: 0.5566, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0781, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5624, kappa: 0.1246, kb_relative_information_score: 624.3896, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5625, predictive_accuracy: 0.5626, prior_entropy: 0.9998, recall: 0.5626, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3229, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 825.5282, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5563, kappa: 0.1145, kb_relative_information_score: 164.9513, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5582, predictive_accuracy: 0.5582, prior_entropy: 0.9998, recall: 0.5582, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1307.4861, usercpu_time_millis: 880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4982, kappa: 0.0024, kb_relative_information_score: 0.1609, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5014, predictive_accuracy: 0.5002, prior_entropy: 0.9998, recall: 0.5002, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.707, root_relative_squared_error: 1.4141, scimark_benchmark: 1280.6952, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4862, kappa: -0.0049, kb_relative_information_score: -35.275, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.4974, predictive_accuracy: 0.5002, prior_entropy: 0.9998, recall: 0.5002, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0087, scimark_benchmark: 932.5646, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4949, kappa: -0.0039, kb_relative_information_score: -5.8413, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.4981, predictive_accuracy: 0.4996, prior_entropy: 0.9998, recall: 0.4996, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7074, root_relative_squared_error: 1.415, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.4567, kappa: 0.0097, kb_relative_information_score: 96.1961, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5079, predictive_accuracy: 0.5098, prior_entropy: 0.9998, recall: 0.5098, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7001, root_relative_squared_error: 1.4005, scimark_benchmark: 940.3347, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4934, kb_relative_information_score: -17.8456, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5001, predictive_accuracy: 0.4984, prior_entropy: 0.9998, recall: 0.4984, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4167, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5615, kappa: 0.1235, kb_relative_information_score: 466.2359, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5622, predictive_accuracy: 0.5624, prior_entropy: 0.9998, recall: 0.5624, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0974, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.564, kappa: 0.1287, kb_relative_information_score: 382.2354, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5649, predictive_accuracy: 0.565, prior_entropy: 0.9998, recall: 0.565, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0393, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.564, kappa: 0.1287, kb_relative_information_score: 382.2354, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5649, predictive_accuracy: 0.565, prior_entropy: 0.9998, recall: 0.565, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0393, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5324, kappa: 0.0794, kb_relative_information_score: 127.6687, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5429, predictive_accuracy: 0.5418, prior_entropy: 0.9998, recall: 0.5418, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5498, kappa: 0.1076, kb_relative_information_score: 164.9064, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5564, predictive_accuracy: 0.5554, prior_entropy: 0.9998, recall: 0.5554, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9966, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5553, kappa: 0.1151, kb_relative_information_score: 173.8088, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 0.9998, recall: 0.5588, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9988, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5592, kappa: 0.1214, kb_relative_information_score: 173.596, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.562, predictive_accuracy: 0.5618, prior_entropy: 0.9998, recall: 0.5618, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0044, scimark_benchmark: 918.0213, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.6131, kappa: 0.228, kb_relative_information_score: 309.8695, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6156, predictive_accuracy: 0.6148, prior_entropy: 0.9998, recall: 0.6148, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9723, scimark_benchmark: 932.5646, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4982, kappa: 0.0024, kb_relative_information_score: 0.1609, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5014, predictive_accuracy: 0.5002, prior_entropy: 0.9998, recall: 0.5002, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.707, root_relative_squared_error: 1.4141, scimark_benchmark: 943.1756, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.344, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6105, kappa: 0.2228, kb_relative_information_score: 301.6101, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.613, predictive_accuracy: 0.6122, prior_entropy: 0.9998, recall: 0.6122, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9721, scimark_benchmark: 1349.9917, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5465, kappa: 0.093, kb_relative_information_score: 389.6148, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5467, predictive_accuracy: 0.547, prior_entropy: 0.9998, recall: 0.547, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6386, root_relative_squared_error: 1.2773, scimark_benchmark: 1319.6817, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.6213, kappa: 0.2435, kb_relative_information_score: 452.0502, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6229, predictive_accuracy: 0.6224, prior_entropy: 0.9998, recall: 0.6224, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9642, scimark_benchmark: 892.0148, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6009, kappa: 0.2035, kb_relative_information_score: 294.0961, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6033, predictive_accuracy: 0.6026, prior_entropy: 0.9998, recall: 0.6026, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9766, scimark_benchmark: 1347.5461, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6239, kappa: 0.249, kb_relative_information_score: 458.6316, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6259, predictive_accuracy: 0.6252, prior_entropy: 0.9998, recall: 0.6252, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9619, scimark_benchmark: 916.6405, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2424, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5357, kappa: 0.0949, kb_relative_information_score: 230.9589, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5537, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0355, scimark_benchmark: 1327.2954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.548, kappa: 0.1003, kb_relative_information_score: 416.6694, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5516, predictive_accuracy: 0.5514, prior_entropy: 0.9998, recall: 0.5514, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1776, scimark_benchmark: 1328.941, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5453, kappa: 0.1138, kb_relative_information_score: 185.1968, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5644, predictive_accuracy: 0.5594, prior_entropy: 0.9998, recall: 0.5594, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.5994, kappa: 0.1988, kb_relative_information_score: 909.7934, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5997, predictive_accuracy: 0.5998, prior_entropy: 0.9998, recall: 0.5998, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1071, scimark_benchmark: 1341.2341, usercpu_time_millis: 1760, usercpu_time_millis_testing: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5453, kappa: 0.1138, kb_relative_information_score: 185.1968, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5644, predictive_accuracy: 0.5594, prior_entropy: 0.9998, recall: 0.5594, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6002, kappa: 0.2011, kb_relative_information_score: 450.5188, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 0.9998, recall: 0.6012, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2424, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.4978, kappa: 0.047, kb_relative_information_score: 244.8896, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5303, predictive_accuracy: 0.5272, prior_entropy: 0.9998, recall: 0.5272, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6424, root_relative_squared_error: 1.2849, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.5729, kappa: 0.1456, kb_relative_information_score: 453.1515, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5729, predictive_accuracy: 0.573, prior_entropy: 0.9998, recall: 0.573, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0513, scimark_benchmark: 942.9708, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1322.7257, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,

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