OpenML
Supervised Classification on satimage

Supervised Classification on satimage

Task 2120 Supervised Classification satimage 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, build_cpu_time: 0.08, build_memory: 1147159568, f_measure: 0.8527, kappa: 0.8162, kb_relative_information_score: 1742.8315, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8551, predictive_accuracy: 0.851, prior_entropy: 2.4836, recall: 0.851, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6066, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 2.856, build_memory: 1326746816, f_measure: 0.9091, kappa: 0.8902, kb_relative_information_score: 1811.8339, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9095, predictive_accuracy: 0.9114, prior_entropy: 2.4836, recall: 0.9114, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4118, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 3.289, build_memory: 1103923688, f_measure: 0.9091, kappa: 0.8902, kb_relative_information_score: 1811.8339, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9095, predictive_accuracy: 0.9114, prior_entropy: 2.4836, recall: 0.9114, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4118, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 3.121, build_memory: 1322475776, f_measure: 0.9091, kappa: 0.8902, kb_relative_information_score: 1811.8339, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9095, predictive_accuracy: 0.9114, prior_entropy: 2.4836, recall: 0.9114, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4118, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 2.836, build_memory: 1907289456, f_measure: 0.9091, kappa: 0.8902, kb_relative_information_score: 1811.8339, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9095, predictive_accuracy: 0.9114, prior_entropy: 2.4836, recall: 0.9114, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4118, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 3.186, build_memory: 1772514992, f_measure: 0.9091, kappa: 0.8902, kb_relative_information_score: 1811.8339, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9095, predictive_accuracy: 0.9114, prior_entropy: 2.4836, recall: 0.9114, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4118, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.455, build_memory: 905869408, f_measure: 0.6456, kappa: 0.5745, kb_relative_information_score: 483.0228, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.6671, predictive_accuracy: 0.6558, prior_entropy: 2.4836, recall: 0.6558, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8989, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.427, build_memory: 615641040, f_measure: 0.6456, kappa: 0.5745, kb_relative_information_score: 483.0228, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.6671, predictive_accuracy: 0.6558, prior_entropy: 2.4836, recall: 0.6558, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8989, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.661, build_memory: 656329600, f_measure: 0.6456, kappa: 0.5745, kb_relative_information_score: 483.0228, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.6671, predictive_accuracy: 0.6558, prior_entropy: 2.4836, recall: 0.6558, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8989, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.365, build_memory: 963505464, f_measure: 0.6456, kappa: 0.5745, kb_relative_information_score: 483.0228, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.6671, predictive_accuracy: 0.6558, prior_entropy: 2.4836, recall: 0.6558, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.8989, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.31, build_memory: 336409968, f_measure: 0.6352, kappa: 0.5649, kb_relative_information_score: 474.711, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.658, predictive_accuracy: 0.6478, prior_entropy: 2.4836, recall: 0.6478, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.9018, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 3.097, build_memory: 634862160, f_measure: 0.8015, kappa: 0.7463, kb_relative_information_score: 1014.8452, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8199, predictive_accuracy: 0.7926, prior_entropy: 2.4836, recall: 0.7926, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7391, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 3.56, build_memory: 1116514608, f_measure: 0.8015, kappa: 0.7463, kb_relative_information_score: 1014.8452, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8199, predictive_accuracy: 0.7926, prior_entropy: 2.4836, recall: 0.7926, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7391, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 3.251, build_memory: 1622304048, f_measure: 0.8015, kappa: 0.7463, kb_relative_information_score: 1014.8452, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8199, predictive_accuracy: 0.7926, prior_entropy: 2.4836, recall: 0.7926, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7391, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 3.112, build_memory: 134319016, f_measure: 0.8015, kappa: 0.7463, kb_relative_information_score: 1014.8452, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8199, predictive_accuracy: 0.7926, prior_entropy: 2.4836, recall: 0.7926, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7391, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 3.306, build_memory: 355824984, f_measure: 0.8015, kappa: 0.7463, kb_relative_information_score: 1014.8452, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8199, predictive_accuracy: 0.7926, prior_entropy: 2.4836, recall: 0.7926, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7391, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 2402.259, build_memory: 22884928, f_measure: 0.8083, kappa: 0.7647, kb_relative_information_score: 1260.4535, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 2.4836, recall: 0.81, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6357, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 2104.698, build_memory: 112411200, f_measure: 0.8083, kappa: 0.7647, kb_relative_information_score: 1260.4535, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 2.4836, recall: 0.81, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6357, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 2160.916, build_memory: 365158600, f_measure: 0.8083, kappa: 0.7647, kb_relative_information_score: 1260.4535, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 2.4836, recall: 0.81, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6357, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 2105.3, build_memory: 20130752, f_measure: 0.8083, kappa: 0.7647, kb_relative_information_score: 1260.4535, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 2.4836, recall: 0.81, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6357, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 2049.126, build_memory: 682751312, f_measure: 0.8083, kappa: 0.7647, kb_relative_information_score: 1260.4535, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 2.4836, recall: 0.81, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6357, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, build_cpu_time: 8661.36, build_memory: 478256472, f_measure: 0.9122, kappa: 0.8926, kb_relative_information_score: 1892.3801, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9119, predictive_accuracy: 0.9132, prior_entropy: 2.4836, recall: 0.9132, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4621, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, build_cpu_time: 4318.537, build_memory: 2305900880, f_measure: 0.912, kappa: 0.8926, kb_relative_information_score: 1895.0298, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9116, predictive_accuracy: 0.9132, prior_entropy: 2.4836, recall: 0.9132, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4575, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 2005.746, build_memory: 1498823472, f_measure: 0.9068, kappa: 0.8862, kb_relative_information_score: 1883.3174, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9064, predictive_accuracy: 0.9081, prior_entropy: 2.4836, recall: 0.9081, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4672, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 1048.584, build_memory: 440071752, f_measure: 0.8986, kappa: 0.8757, kb_relative_information_score: 1866.0556, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8984, predictive_accuracy: 0.8996, prior_entropy: 2.4836, recall: 0.8996, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4788, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, build_cpu_time: 533.483, build_memory: 256407752, f_measure: 0.891, kappa: 0.8659, kb_relative_information_score: 1849.9206, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8909, predictive_accuracy: 0.8916, prior_entropy: 2.4836, recall: 0.8916, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.179, root_relative_squared_error: 0.4871, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 36.964, build_memory: 690262752, f_measure: 0.8488, kappa: 0.8179, kb_relative_information_score: 1569.8802, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8481, predictive_accuracy: 0.8534, prior_entropy: 2.4836, recall: 0.8534, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5275, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 36.439, build_memory: 1224772904, f_measure: 0.8488, kappa: 0.8179, kb_relative_information_score: 1569.8802, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8481, predictive_accuracy: 0.8534, prior_entropy: 2.4836, recall: 0.8534, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5275, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 37.679, build_memory: 2132385480, f_measure: 0.8488, kappa: 0.8179, kb_relative_information_score: 1569.8802, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8481, predictive_accuracy: 0.8534, prior_entropy: 2.4836, recall: 0.8534, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5275, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 35.819, build_memory: 676108392, f_measure: 0.8488, kappa: 0.8179, kb_relative_information_score: 1569.8802, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8481, predictive_accuracy: 0.8534, prior_entropy: 2.4836, recall: 0.8534, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5275, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 69.245, build_memory: 1282069416, f_measure: 0.8927, kappa: 0.8672, kb_relative_information_score: 1855.5427, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8942, predictive_accuracy: 0.8925, prior_entropy: 2.4836, recall: 0.8925, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.482, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 58.829, build_memory: 1566014144, f_measure: 0.8927, kappa: 0.8672, kb_relative_information_score: 1855.5427, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8942, predictive_accuracy: 0.8925, prior_entropy: 2.4836, recall: 0.8925, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.482, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 65.763, build_memory: 189790224, f_measure: 0.8927, kappa: 0.8672, kb_relative_information_score: 1855.5427, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8942, predictive_accuracy: 0.8925, prior_entropy: 2.4836, recall: 0.8925, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.482, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 39.599, build_memory: 641813920, f_measure: 0.8929, kappa: 0.8667, kb_relative_information_score: 1848.1575, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8948, predictive_accuracy: 0.892, prior_entropy: 2.4836, recall: 0.892, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.485, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, build_cpu_time: 21.985, build_memory: 912856240, f_measure: 0.8863, kappa: 0.8574, kb_relative_information_score: 1834.3281, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8893, predictive_accuracy: 0.8845, prior_entropy: 2.4836, recall: 0.8845, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.487, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 5.233, build_memory: 283253288, f_measure: 0.9035, kappa: 0.8817, kb_relative_information_score: 1879.004, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9035, predictive_accuracy: 0.9043, prior_entropy: 2.4836, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4666, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, build_cpu_time: 8.181, build_memory: 113671800, f_measure: 0.911, kappa: 0.8915, kb_relative_information_score: 1894.6245, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9109, predictive_accuracy: 0.9123, prior_entropy: 2.4836, recall: 0.9123, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4543, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, build_cpu_time: 1.269, build_memory: 102052872, f_measure: 0.5687, kappa: 0.4953, kb_relative_information_score: 1181.8473, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.5897, predictive_accuracy: 0.5889, prior_entropy: 2.4836, recall: 0.5889, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.948, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 6.628, build_memory: 205522416, f_measure: 0.8943, kappa: 0.8726, kb_relative_information_score: 1811.0126, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8939, predictive_accuracy: 0.8972, prior_entropy: 2.4836, recall: 0.8972, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4286, scimark_benchmark: 940.6012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, build_cpu_time: 4.784, build_memory: 160793824, f_measure: 0.8024, kappa: 0.7475, kb_relative_information_score: 1627.3695, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8213, predictive_accuracy: 0.7935, prior_entropy: 2.4836, recall: 0.7935, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.255, root_relative_squared_error: 0.694, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 4081.373, build_memory: 387791880, f_measure: 0.9085, kappa: 0.8886, kb_relative_information_score: 1864.2624, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9082, predictive_accuracy: 0.9099, prior_entropy: 2.4836, recall: 0.9099, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4086, scimark_benchmark: 941.326,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, build_cpu_time: 0.064, build_memory: 1509862032, f_measure: 0.6932, kappa: 0.6828, kb_relative_information_score: 1058.4898, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7182, predictive_accuracy: 0.7506, prior_entropy: 2.4836, recall: 0.7506, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.7497, scimark_benchmark: 946.5361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.013, build_memory: 536770664, f_measure: 0.7034, kappa: 0.6903, kb_relative_information_score: 1062.626, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7189, predictive_accuracy: 0.7562, prior_entropy: 2.4836, recall: 0.7562, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.7483, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, build_cpu_time: 0.007, build_memory: 65602720, f_measure: 0.71, kappa: 0.6954, kb_relative_information_score: 1068.3442, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7196, predictive_accuracy: 0.76, prior_entropy: 2.4836, recall: 0.76, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.7464, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 556.668, build_memory: 2237556344, f_measure: 0.8945, kappa: 0.8716, kb_relative_information_score: 1834.7967, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.894, predictive_accuracy: 0.8963, prior_entropy: 2.4836, recall: 0.8963, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4296, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 469.977, build_memory: 172168248, f_measure: 0.8956, kappa: 0.8728, kb_relative_information_score: 1834.7226, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8952, predictive_accuracy: 0.8972, prior_entropy: 2.4836, recall: 0.8972, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4294, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 1305.841, build_memory: 2208134600, f_measure: 0.8956, kappa: 0.8727, kb_relative_information_score: 1837.8142, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8952, predictive_accuracy: 0.8972, prior_entropy: 2.4836, recall: 0.8972, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4231, scimark_benchmark: 1234.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 2206.933, build_memory: 1561734320, f_measure: 0.9002, kappa: 0.8786, kb_relative_information_score: 1841.259, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8998, predictive_accuracy: 0.9019, prior_entropy: 2.4836, recall: 0.9019, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4173, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 4569.958, build_memory: 116733672, f_measure: 0.9048, kappa: 0.8844, kb_relative_information_score: 1841.7259, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9044, predictive_accuracy: 0.9066, prior_entropy: 2.4836, recall: 0.9066, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4154, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 8793.432, build_memory: 214226344, f_measure: 0.905, kappa: 0.8845, kb_relative_information_score: 1842.8955, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9046, predictive_accuracy: 0.9066, prior_entropy: 2.4836, recall: 0.9066, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4144, scimark_benchmark: 945.949,

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