OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 271 Supervised Classification soybean 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 0.476, build_memory: 978614224, f_measure: 0.8976, kappa: 0.8869, kb_relative_information_score: 198.4681, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9007, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.461, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.002, build_memory: 1490142608, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 69.1543, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2532, root_relative_squared_error: 1.1589, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 0.467, build_memory: 1115231192, f_measure: 0.8976, kappa: 0.8869, kb_relative_information_score: 198.4681, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9007, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.461, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.002, build_memory: 1647481512, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 69.1543, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2532, root_relative_squared_error: 1.1589, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 18.511, build_memory: 911251592, f_measure: 0.8611, kappa: 0.8521, kb_relative_information_score: 170.5302, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8818, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.5108, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, build_cpu_time: 9.387, build_memory: 41463280, f_measure: 0.8322, kappa: 0.8271, kb_relative_information_score: 152.3563, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8525, predictive_accuracy: 0.8444, prior_entropy: 3.8572, recall: 0.8444, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.5827, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 0.501, build_memory: 977108408, f_measure: 0.8976, kappa: 0.8869, kb_relative_information_score: 198.4681, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9007, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.461, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 55.073, build_memory: 1908750880, f_measure: 0.8976, kappa: 0.9012, kb_relative_information_score: 38.9662, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9184, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9752, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, build_cpu_time: 54.26, build_memory: 109259936, f_measure: 0.8744, kappa: 0.8621, kb_relative_information_score: 193.5357, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8898, predictive_accuracy: 0.8756, prior_entropy: 3.8572, recall: 0.8756, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.5166, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.003, build_memory: 40544360, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.01, build_memory: 775263696, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.049, build_memory: 272796344, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.004, build_memory: 641806232, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.049, build_memory: 154519680, f_measure: 0.897, kappa: 0.8963, kb_relative_information_score: 197.6518, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9146, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4242, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 10.264, build_memory: 274343800, f_measure: 0.9204, kappa: 0.9162, kb_relative_information_score: 203.667, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9301, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3994, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, build_cpu_time: 19.516, build_memory: 1606372584, f_measure: 0.9205, kappa: 0.9162, kb_relative_information_score: 203.0389, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9288, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.4077, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 37.656, build_memory: 1414772640, f_measure: 0.9022, kappa: 0.9013, kb_relative_information_score: 200.0264, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9181, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4414, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.51, build_memory: 88170848, f_measure: 0.9213, kappa: 0.9162, kb_relative_information_score: 203.7419, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.932, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3952, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 4.852, build_memory: 821222072, f_measure: 0.9422, kappa: 0.9361, kb_relative_information_score: 207.2509, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9472, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3443, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, build_cpu_time: 0.005, build_memory: 122891768, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.08, build_memory: 902748504, f_measure: 0.891, kappa: 0.8817, kb_relative_information_score: 196.882, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8974, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4067, scimark_benchmark: 926.4124,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 9.255, build_memory: 601198528, f_measure: 0.914, kappa: 0.9064, kb_relative_information_score: 202.3037, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9167, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.4224, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.008, build_memory: 322007824, f_measure: 0.8482, kappa: 0.8234, kb_relative_information_score: 181.9002, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8724, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.5895, scimark_benchmark: 916.3022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.01, build_memory: 2216342040, f_measure: 0.8482, kappa: 0.8234, kb_relative_information_score: 181.9002, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8724, predictive_accuracy: 0.84, prior_entropy: 3.8572, recall: 0.84, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.5895, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.081, build_memory: 1500338704, f_measure: 0.891, kappa: 0.8817, kb_relative_information_score: 196.882, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8974, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4067, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 20.957, build_memory: 257718912, f_measure: 0.9084, kappa: 0.9015, kb_relative_information_score: 202.4128, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9124, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.4268, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8387, kappa: 0.8269, kb_relative_information_score: 28.1321, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9201, predictive_accuracy: 0.8444, prior_entropy: 3.8572, recall: 0.8444, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9977, scimark_benchmark: 1313.6093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8526, kappa: 0.852, kb_relative_information_score: 190.8657, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8707, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4475, scimark_benchmark: 1268.9931, usercpu_time_millis: 2830, usercpu_time_millis_testing: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9233, kappa: 0.9211, kb_relative_information_score: 205.4031, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9378, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3595, scimark_benchmark: 950.6776, usercpu_time_millis: 142660, usercpu_time_millis_testing: 142650, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8744, kappa: 0.8621, kb_relative_information_score: 193.4355, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8898, predictive_accuracy: 0.8756, prior_entropy: 3.8572, recall: 0.8756, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5159, scimark_benchmark: 1331.482, usercpu_time_millis: 19000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8717, kappa: 0.8764, kb_relative_information_score: 172.8454, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8841, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.509, scimark_benchmark: 1360.2771, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8865, kappa: 0.8865, kb_relative_information_score: 173.4321, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.908, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.5059, scimark_benchmark: 1334.4761, usercpu_time_millis: 930, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.7909, kappa: 0.8016, kb_relative_information_score: 170.1711, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7707, predictive_accuracy: 0.8222, prior_entropy: 3.8572, recall: 0.8222, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.5592, scimark_benchmark: 1318.8785, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.923, kappa: 0.9162, kb_relative_information_score: 207.9063, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9269, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3318, scimark_benchmark: 1311.1837, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8054, kappa: 0.8166, kb_relative_information_score: 172.7197, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7822, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5439, scimark_benchmark: 1323.976, usercpu_time_millis: 1110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1070,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.006, build_memory: 665835296, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.0318, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0904, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 2.401, build_memory: 1294988240, f_measure: 0.8951, kappa: 0.8914, kb_relative_information_score: 180.0375, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9164, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4822, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 6.374, build_memory: 2170481712, f_measure: 0.8784, kappa: 0.8814, kb_relative_information_score: 180.1794, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9089, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4803, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.019, build_memory: 1432329144, f_measure: 0.5211, kappa: 0.5274, kb_relative_information_score: 100.8645, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6358, predictive_accuracy: 0.5778, prior_entropy: 3.8572, recall: 0.5778, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.8598, scimark_benchmark: 938.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 2963.72, build_memory: 2216262928, f_measure: 0.9163, kappa: 0.9113, kb_relative_information_score: 203.6951, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9248, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3492, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 6485.944, build_memory: 1420546320, f_measure: 0.9163, kappa: 0.9113, kb_relative_information_score: 204.1074, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9248, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.343, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 0.028, build_memory: 193851144, f_measure: 0.53, kappa: 0.542, kb_relative_information_score: 101.0197, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6176, predictive_accuracy: 0.5911, prior_entropy: 3.8572, recall: 0.5911, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.8587, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.065, build_memory: 240716696, f_measure: 0.911, kappa: 0.9017, kb_relative_information_score: 203.3405, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9301, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3817, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.555, build_memory: 223335768, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 204.1788, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3384, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.666, build_memory: 190889984, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 204.1788, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3384, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.013, build_memory: 572107600, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 80.0097, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.0189, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.015, build_memory: 434250352, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 80.0097, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.0189, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, build_cpu_time: 0.01, build_memory: 743885432, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.377, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.234, root_relative_squared_error: 1.0712, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.136, build_memory: 28405384, f_measure: 0.8907, kappa: 0.8915, kb_relative_information_score: 196.4805, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8996, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4129, scimark_benchmark: 899.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 39.43, build_memory: 2565568432, f_measure: 0.8829, kappa: 0.8815, kb_relative_information_score: 180.6893, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9082, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.4747, scimark_benchmark: 885.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.726, build_memory: 976832512, f_measure: 0.8056, kappa: 0.8165, kb_relative_information_score: 172.1226, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7832, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.5483, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8526, kappa: 0.857, kb_relative_information_score: 192.8548, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.874, predictive_accuracy: 0.8711, prior_entropy: 3.8572, recall: 0.8711, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.463, scimark_benchmark: 869.6028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.7797, kappa: 0.7873, kb_relative_information_score: 172.3052, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8162, predictive_accuracy: 0.8089, prior_entropy: 3.8572, recall: 0.8089, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5533, scimark_benchmark: 882.7843, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9293, kappa: 0.9213, kb_relative_information_score: 207.5527, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9309, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3521, scimark_benchmark: 1308.3503, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8728, kappa: 0.8766, kb_relative_information_score: 194.1167, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.884, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.442, scimark_benchmark: 935.5075, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9154, kappa: 0.9066, kb_relative_information_score: 205.1039, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9305, predictive_accuracy: 0.9156, prior_entropy: 3.8572, recall: 0.9156, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3714, scimark_benchmark: 1307.4861, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.925, kappa: 0.9164, kb_relative_information_score: 206.1386, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9267, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3892, scimark_benchmark: 1299.5783, usercpu_time_millis: 2250, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8821, kappa: 0.8815, kb_relative_information_score: 194.4688, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9154, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.4317, scimark_benchmark: 930.5999, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.1519, kappa: 0.1899, kb_relative_information_score: 70.1394, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.1225, predictive_accuracy: 0.2756, prior_entropy: 3.8572, recall: 0.2756, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.9295, scimark_benchmark: 1304.6687,

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