Task
Supervised Classification on yeast

Supervised Classification on yeast

Task 2119 Supervised Classification yeast 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, build_cpu_time: 0.705, build_memory: 708046208, f_measure: 0.5934, kappa: 0.4854, kb_relative_information_score: 235.8013, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.59, predictive_accuracy: 0.6033, prior_entropy: 2.5035, recall: 0.6033, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.841, scimark_benchmark: 942.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, build_cpu_time: 1.13, build_memory: 882067912, f_measure: 0.5897, kappa: 0.4808, kb_relative_information_score: 233.4025, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.8409, scimark_benchmark: 944.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, build_cpu_time: 2.278, build_memory: 1072075944, f_measure: 0.5975, kappa: 0.4909, kb_relative_information_score: 233.5119, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5981, predictive_accuracy: 0.6074, prior_entropy: 2.5035, recall: 0.6074, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.8357, scimark_benchmark: 946.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, build_cpu_time: 3.842, build_memory: 943904488, f_measure: 0.6044, kappa: 0.4988, kb_relative_information_score: 233.1601, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.6092, predictive_accuracy: 0.6135, prior_entropy: 2.5035, recall: 0.6135, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.8352, scimark_benchmark: 930.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, build_cpu_time: 4.395, build_memory: 1441835184, f_measure: 0.6044, kappa: 0.4988, kb_relative_information_score: 233.1601, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.6092, predictive_accuracy: 0.6135, prior_entropy: 2.5035, recall: 0.6135, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.8352, scimark_benchmark: 910.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 25.778, build_memory: 829591296, f_measure: 0.5797, kappa: 0.4624, kb_relative_information_score: 212.8949, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5792, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.85, scimark_benchmark: 934.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 13.56, build_memory: 4460021936, f_measure: 0.5846, kappa: 0.4679, kb_relative_information_score: 212.8303, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5844, predictive_accuracy: 0.591, prior_entropy: 2.5035, recall: 0.591, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8512, scimark_benchmark: 944.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 391.832, build_memory: 1692012536, f_measure: 0.5825, kappa: 0.466, kb_relative_information_score: 237.0927, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5804, predictive_accuracy: 0.589, prior_entropy: 2.5035, recall: 0.589, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.8435, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, build_cpu_time: 204.241, build_memory: 111594632, f_measure: 0.5921, kappa: 0.4787, kb_relative_information_score: 237.2755, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5895, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.8448, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, build_cpu_time: 91.305, build_memory: 1737804776, f_measure: 0.5871, kappa: 0.4745, kb_relative_information_score: 236.7376, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.584, predictive_accuracy: 0.5951, prior_entropy: 2.5035, recall: 0.5951, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8491, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 60.102, build_memory: 325064560, f_measure: 0.5691, kappa: 0.4495, kb_relative_information_score: 235.8082, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.566, predictive_accuracy: 0.5767, prior_entropy: 2.5035, recall: 0.5767, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.8581, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 22.651, build_memory: 1833212552, f_measure: 0.5398, kappa: 0.4111, kb_relative_information_score: 229.1527, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5373, predictive_accuracy: 0.546, prior_entropy: 2.5035, recall: 0.546, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.8822, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, build_cpu_time: 0.002, build_memory: 274482456, f_measure: 0.2233, kappa: 0.1541, kb_relative_information_score: 102.7267, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.4434, predictive_accuracy: 0.3804, prior_entropy: 2.5035, recall: 0.3804, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.9558, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.005, build_memory: 576371040, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 103.1592, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9554, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.005, build_memory: 215695080, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 103.1592, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9554, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, build_cpu_time: 0.011, build_memory: 682826240, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 103.2896, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9555, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, build_cpu_time: 0.02, build_memory: 1054179440, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 103.919, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9545, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, build_cpu_time: 0.041, build_memory: 1467825880, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 104.6415, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.9537, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, build_cpu_time: 527.469, build_memory: 234588840, f_measure: 0.5949, kappa: 0.4834, kb_relative_information_score: 234.9284, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5925, predictive_accuracy: 0.6033, prior_entropy: 2.5035, recall: 0.6033, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.835, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, build_cpu_time: 264.185, build_memory: 408494648, f_measure: 0.591, kappa: 0.4772, kb_relative_information_score: 235.3833, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5893, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.233, root_relative_squared_error: 0.8369, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, build_cpu_time: 0.323, build_memory: 911737864, f_measure: 0.5516, kappa: 0.4316, kb_relative_information_score: 218.0469, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5607, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.8565, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.588, build_memory: 335784696, f_measure: 0.5855, kappa: 0.4689, kb_relative_information_score: 217.7003, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5854, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.8472, scimark_benchmark: 947.2295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, build_cpu_time: 0.141, build_memory: 422588592, f_measure: 0.2786, kappa: 0.1245, kb_relative_information_score: 111.4426, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.2363, predictive_accuracy: 0.3538, prior_entropy: 2.5035, recall: 0.3538, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0772, scimark_benchmark: 940.6012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.007, build_memory: 553230920, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, build_cpu_time: 5.538, build_memory: 563561136, f_measure: 0.588, kappa: 0.4756, kb_relative_information_score: 249.548, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5926, predictive_accuracy: 0.5951, prior_entropy: 2.5035, recall: 0.5951, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.284, root_relative_squared_error: 1.02, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, build_cpu_time: 1.539, build_memory: 1150776472, f_measure: 0.5619, kappa: 0.4422, kb_relative_information_score: 237.1474, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5611, predictive_accuracy: 0.5706, prior_entropy: 2.5035, recall: 0.5706, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2866, root_relative_squared_error: 1.0294, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, build_cpu_time: 0.784, build_memory: 488914744, f_measure: 0.5669, kappa: 0.4493, kb_relative_information_score: 240.2469, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5694, predictive_accuracy: 0.5746, prior_entropy: 2.5035, recall: 0.5746, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.0112, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, build_cpu_time: 0.344, build_memory: 817992008, f_measure: 0.5651, kappa: 0.4447, kb_relative_information_score: 237.5589, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5653, predictive_accuracy: 0.5726, prior_entropy: 2.5035, recall: 0.5726, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9888, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, build_cpu_time: 1.131, build_memory: 485207816, f_measure: 0.5624, kappa: 0.4425, kb_relative_information_score: 78.8775, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5714, predictive_accuracy: 0.5726, prior_entropy: 2.5035, recall: 0.5726, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.9666, scimark_benchmark: 917.4547,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, build_cpu_time: 1.425, build_memory: 1668512816, f_measure: 0.5429, kappa: 0.4179, kb_relative_information_score: 29.9455, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5383, predictive_accuracy: 0.5542, prior_entropy: 2.5035, recall: 0.5542, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2871, root_relative_squared_error: 1.0313, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, build_cpu_time: 1.492, build_memory: 1708698888, f_measure: 0.5429, kappa: 0.4179, kb_relative_information_score: 29.9455, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5383, predictive_accuracy: 0.5542, prior_entropy: 2.5035, recall: 0.5542, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2871, root_relative_squared_error: 1.0313, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, build_cpu_time: 1.498, build_memory: 1752197680, f_measure: 0.5429, kappa: 0.4179, kb_relative_information_score: 29.9455, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5383, predictive_accuracy: 0.5542, prior_entropy: 2.5035, recall: 0.5542, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2871, root_relative_squared_error: 1.0313, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 24.223, build_memory: 648185144, f_measure: 0.5414, kappa: 0.4129, kb_relative_information_score: 235.378, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5441, predictive_accuracy: 0.5481, prior_entropy: 2.5035, recall: 0.5481, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.0069, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, build_cpu_time: 50.414, build_memory: 77709296, f_measure: 0.5769, kappa: 0.4572, kb_relative_information_score: 242.7741, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5757, predictive_accuracy: 0.5828, prior_entropy: 2.5035, recall: 0.5828, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.012, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 115.321, build_memory: 280917848, f_measure: 0.5656, kappa: 0.4435, kb_relative_information_score: 240.0916, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5646, predictive_accuracy: 0.5726, prior_entropy: 2.5035, recall: 0.5726, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2868, root_relative_squared_error: 1.0302, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, build_cpu_time: 207.409, build_memory: 1817528128, f_measure: 0.6019, kappa: 0.4912, kb_relative_information_score: 255.328, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.6014, predictive_accuracy: 0.6094, prior_entropy: 2.5035, recall: 0.6094, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.0002, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, build_cpu_time: 433.059, build_memory: 342635384, f_measure: 0.5924, kappa: 0.4784, kb_relative_information_score: 251.131, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5914, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2827, root_relative_squared_error: 1.0154, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 1.857, build_memory: 915147384, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 102.0438, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9568, scimark_benchmark: 931.6517,

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