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: 0.9813, f_measure: 0.8045, kappa: 0.8073, kb_relative_information_score: 173.1394, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.812, predictive_accuracy: 0.8267, prior_entropy: 3.8572, recall: 0.8267, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5518, scimark_benchmark: 1366.7181, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 0.055, build_memory: 102940768, f_measure: 0.5179, kappa: 0.5272, kb_relative_information_score: 101.0596, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6325, predictive_accuracy: 0.5778, prior_entropy: 3.8572, recall: 0.5778, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.8592, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 384.675, build_memory: 105351184, f_measure: 0.9176, kappa: 0.9114, kb_relative_information_score: 206.3894, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9235, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3438, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.003, build_memory: 1737928808, f_measure: 0.4904, kappa: 0.5082, kb_relative_information_score: 101.1475, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6269, predictive_accuracy: 0.56, prior_entropy: 3.8572, recall: 0.56, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.8593, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 69.839, build_memory: 62030824, f_measure: 0.9242, kappa: 0.9164, kb_relative_information_score: 206.0611, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9272, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3441, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 166.555, build_memory: 33089080, f_measure: 0.9233, kappa: 0.9163, kb_relative_information_score: 206.4512, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9274, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3425, scimark_benchmark: 944.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.004, build_memory: 1139803408, f_measure: 0.4986, kappa: 0.5137, kb_relative_information_score: 101.7283, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.6167, predictive_accuracy: 0.5644, prior_entropy: 3.8572, recall: 0.5644, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.8579, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, build_cpu_time: 22.893, build_memory: 87816552, f_measure: 0.8694, kappa: 0.8572, kb_relative_information_score: 184.7676, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8921, predictive_accuracy: 0.8711, prior_entropy: 3.8572, recall: 0.8711, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.4719, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.004, build_memory: 355029096, 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: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.003, build_memory: 1646456936, 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: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.006, build_memory: 69795344, 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: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.008, build_memory: 1115578248, 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: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.389, build_memory: 178992240, f_measure: 0.8878, kappa: 0.8817, kb_relative_information_score: 187.6786, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8958, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4416, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.571, build_memory: 1520067688, f_measure: 0.8878, kappa: 0.8817, kb_relative_information_score: 187.6786, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8958, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4416, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.008, build_memory: 943239336, 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: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.006, build_memory: 2942543096, 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: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.574, build_memory: 1556717440, f_measure: 0.8878, kappa: 0.8817, kb_relative_information_score: 187.6786, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8958, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4416, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.328, build_memory: 1356157984, f_measure: 0.8878, kappa: 0.8817, kb_relative_information_score: 187.6786, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8958, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4416, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.362, build_memory: 942533520, f_measure: 0.8878, kappa: 0.8817, kb_relative_information_score: 187.6786, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8958, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4416, scimark_benchmark: 937.5757,
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: 1336.2509,
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: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8586, kappa: 0.8518, kb_relative_information_score: 190.2257, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8694, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5423, scimark_benchmark: 1028.5889, usercpu_time_millis: 1160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8891, kappa: 0.8817, kb_relative_information_score: 196.3303, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8985, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.4239, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 205.7326, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9323, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3836, scimark_benchmark: 1319.5177, usercpu_time_millis: 15750, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 14490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9224, kappa: 0.9163, kb_relative_information_score: 39.1825, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.213, root_relative_squared_error: 0.975, scimark_benchmark: 1369.9744, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9328, kappa: 0.9262, kb_relative_information_score: 208.6289, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.934, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.3229, scimark_benchmark: 1363.434, usercpu_time_millis: 2370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9266, kappa: 0.9212, kb_relative_information_score: 204.603, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9325, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.396, scimark_benchmark: 939.449, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9198, kappa: 0.9163, kb_relative_information_score: 202.7977, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.919, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3895, scimark_benchmark: 1354.2491, usercpu_time_millis: 2380, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9417, kappa: 0.936, kb_relative_information_score: 207.7079, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9437, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.303, scimark_benchmark: 925.4974, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, 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: 1339.3974, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8855, kappa: 0.8864, kb_relative_information_score: 197.9127, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9144, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4064, scimark_benchmark: 882.7843, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.805, kappa: 0.8169, kb_relative_information_score: 37.3793, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8051, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9776, scimark_benchmark: 912.5006, usercpu_time_millis: 3370, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7133, kappa: 0.7221, kb_relative_information_score: 164.2191, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.7372, predictive_accuracy: 0.7511, prior_entropy: 3.8572, recall: 0.7511, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6151, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.6891, kappa: 0.6663, kb_relative_information_score: 148.7266, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.718, predictive_accuracy: 0.6978, prior_entropy: 3.8572, recall: 0.6978, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.7745, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, build_cpu_time: 117.723, build_memory: 343978952, f_measure: 0.9337, kappa: 0.9262, kb_relative_information_score: 206.7287, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9352, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.3858, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 1918.1, build_memory: 2751618912, f_measure: 0.9282, kappa: 0.9212, kb_relative_information_score: 205.1143, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9325, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.396, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_memory: 739458088, 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: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.241, build_memory: 822257792, 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: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.229, build_memory: 3409881328, 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: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 0.053, build_memory: 432650488, 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: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, build_cpu_time: 219.661, build_memory: 750464000, f_measure: 0.9293, kappa: 0.9213, kb_relative_information_score: 205.7183, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9327, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.392, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 979.072, build_memory: 183230808, f_measure: 0.9326, kappa: 0.9261, kb_relative_information_score: 205.8667, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9373, predictive_accuracy: 0.9333, prior_entropy: 3.8572, recall: 0.9333, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3837, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 441.294, build_memory: 493889952, f_measure: 0.924, kappa: 0.9163, kb_relative_information_score: 204.3082, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9285, 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: 0.0891, root_relative_squared_error: 0.408, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.088, build_memory: 999457336, 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: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.978, build_memory: 106482264, f_measure: 0.8998, kappa: 0.9013, kb_relative_information_score: 198.5669, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9081, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3876, scimark_benchmark: 936.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 1.127, build_memory: 100565416, f_measure: 0.8998, kappa: 0.9013, kb_relative_information_score: 198.5669, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9081, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3876, scimark_benchmark: 946.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.009, build_memory: 1184154672, 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: 897.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.293, build_memory: 1084881824, f_measure: 0.8882, kappa: 0.8914, kb_relative_information_score: 198.2132, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9011, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3943, scimark_benchmark: 933.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1252.49, build_memory: 2328234688, f_measure: 0.9004, kappa: 0.8965, kb_relative_information_score: 206.1995, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9122, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3467, scimark_benchmark: 939.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1257.108, build_memory: 115964576, f_measure: 0.9004, kappa: 0.8965, kb_relative_information_score: 206.1995, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9122, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3467, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.004, build_memory: 911616400, f_measure: 0.9411, kappa: 0.9361, kb_relative_information_score: 209.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3063, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.633, build_memory: 578800552, f_measure: 0.9413, kappa: 0.936, kb_relative_information_score: 209.3327, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9442, predictive_accuracy: 0.9422, prior_entropy: 3.8572, recall: 0.9422, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.306, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 14.887, build_memory: 1189197704, f_measure: 0.8886, kappa: 0.8913, kb_relative_information_score: 38.9825, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9097, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9751, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.675, build_memory: 508194384, f_measure: 0.9224, kappa: 0.9163, kb_relative_information_score: 39.1825, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 3.8572, recall: 0.9244, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.213, root_relative_squared_error: 0.975, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.289, build_memory: 408088504, f_measure: 0.8837, kappa: 0.8815, kb_relative_information_score: 186.9179, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9044, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.443, scimark_benchmark: 945.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, build_cpu_time: 0.993, build_memory: 1242434952, f_measure: 0.805, kappa: 0.8169, kb_relative_information_score: 37.3793, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8051, predictive_accuracy: 0.8356, prior_entropy: 3.8572, recall: 0.8356, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9776, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 0.037, build_memory: 268859976, f_measure: 0.8483, kappa: 0.8422, kb_relative_information_score: 190.4482, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8957, predictive_accuracy: 0.8578, prior_entropy: 3.8572, recall: 0.8578, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.5044, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_memory: 43248736, 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: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, build_cpu_time: 0.255, build_memory: 1641933232, f_measure: 0.9101, kappa: 0.9016, kb_relative_information_score: 202.1661, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9108, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4124, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 0.504, build_memory: 1654840272, 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: 943.5504,

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