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OpenML
OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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Visibility: Public
  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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1323 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.5393, kappa: 0.4024, kb_relative_information_score: 711.9701, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5463, predictive_accuracy: 0.5465, prior_entropy: 2.5035, recall: 0.5465, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.9198, scimark_benchmark: 889.3151, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 930.5999, usercpu_time_millis: 4150, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 882.7843, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.5781, kappa: 0.4612, kb_relative_information_score: 637.1986, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5893, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.8425, scimark_benchmark: 944.0517, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.567, kappa: 0.4529, kb_relative_information_score: 726.7624, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5911, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.0338, scimark_benchmark: 912.5006, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.5587, kappa: 0.438, kb_relative_information_score: 638.8752, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5564, predictive_accuracy: 0.5681, prior_entropy: 2.5035, recall: 0.5681, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.8547, scimark_benchmark: 1072.3689, usercpu_time_millis: 470, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1291.6995, usercpu_time_millis: 750, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.5273, kappa: 0.392, kb_relative_information_score: 645.4898, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5276, predictive_accuracy: 0.5276, prior_entropy: 2.5035, recall: 0.5276, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.1028, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5743, kappa: 0.4584, kb_relative_information_score: 653.153, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5769, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8717, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.5675, kappa: 0.4505, kb_relative_information_score: 604.7996, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5723, predictive_accuracy: 0.5802, prior_entropy: 2.5035, recall: 0.5802, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8703, scimark_benchmark: 1327.8711, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5384, kappa: 0.412, kb_relative_information_score: 672.4887, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5397, predictive_accuracy: 0.5431, prior_entropy: 2.5035, recall: 0.5431, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.0846, scimark_benchmark: 1066.7184, usercpu_time_millis: 360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.2539, kappa: 0.0758, kb_relative_information_score: 258.0806, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3544, predictive_accuracy: 0.3356, prior_entropy: 2.5035, recall: 0.3356, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.3079, scimark_benchmark: 1384.4418, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.5551, kappa: 0.4276, kb_relative_information_score: 679.4385, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5538, predictive_accuracy: 0.558, prior_entropy: 2.5035, recall: 0.558, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.9702, scimark_benchmark: 1358.4523, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.3197, kappa: 0.1837, kb_relative_information_score: 375.0413, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2763, predictive_accuracy: 0.4003, prior_entropy: 2.5035, recall: 0.4003, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.2426, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5879, kappa: 0.477, kb_relative_information_score: 477.7049, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9025, scimark_benchmark: 921.8984, usercpu_time_millis: 60510, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.5098, kappa: 0.3723, kb_relative_information_score: 621.7646, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5195, predictive_accuracy: 0.5054, prior_entropy: 2.5035, recall: 0.5054, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.1285, scimark_benchmark: 1466.6185, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 1054.3694, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 940.2922, usercpu_time_millis: 710, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 911.3823, usercpu_time_millis: 560, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 941.7954, usercpu_time_millis: 560, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 911.3823, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.5801, kappa: 0.4605, kb_relative_information_score: 691.6539, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5783, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8715, scimark_benchmark: 924.6116, usercpu_time_millis: 3600, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.5898, kappa: 0.4742, kb_relative_information_score: 698.4746, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5877, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.8533, scimark_benchmark: 924.6116, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.5915, kappa: 0.4776, kb_relative_information_score: 702.8617, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5898, predictive_accuracy: 0.5984, prior_entropy: 2.5035, recall: 0.5984, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.841, scimark_benchmark: 924.6116, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5955, kappa: 0.4832, kb_relative_information_score: 701.3881, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5932, predictive_accuracy: 0.6031, prior_entropy: 2.5035, recall: 0.6031, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.8351, scimark_benchmark: 932.3943, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5971, kappa: 0.4867, kb_relative_information_score: 693.7584, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.595, predictive_accuracy: 0.6058, prior_entropy: 2.5035, recall: 0.6058, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.832, scimark_benchmark: 938.9865, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 3.4847, build_memory: 417928087.4394, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, build_cpu_time: 566.3953, build_memory: 775266041.7412, f_measure: 0.5989, kappa: 0.4874, kb_relative_information_score: 784.8317, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5956, predictive_accuracy: 0.6051, prior_entropy: 2.5035, recall: 0.6051, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1.0001, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 270.9515, build_memory: 516174934.9865, f_measure: 0.5948, kappa: 0.4821, kb_relative_information_score: 778.2245, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5915, predictive_accuracy: 0.6011, prior_entropy: 2.5035, recall: 0.6011, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.279, root_relative_squared_error: 1.0011, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 144.8415, build_memory: 917782209.8329, f_measure: 0.5907, kappa: 0.4762, kb_relative_information_score: 776.6101, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5876, predictive_accuracy: 0.5964, prior_entropy: 2.5035, recall: 0.5964, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9969, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 73.2521, build_memory: 1209871093.2669, f_measure: 0.5705, kappa: 0.4508, kb_relative_information_score: 746.417, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5683, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2804, root_relative_squared_error: 1.0062, scimark_benchmark: 941.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, build_cpu_time: 1.9219, build_memory: 1344053716.4421, f_measure: 0.5561, kappa: 0.434, kb_relative_information_score: 91.4079, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.561, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 1.1108, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.0349, scimark_benchmark: 916.8516,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, build_cpu_time: 1.8032, build_memory: 1230494200.5822, f_measure: 0.5561, kappa: 0.434, kb_relative_information_score: 91.4079, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.561, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 1.1108, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.0349, scimark_benchmark: 874.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, build_cpu_time: 1.5345, build_memory: 782010209.8652, f_measure: 0.5657, kappa: 0.4425, kb_relative_information_score: 189.404, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5722, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9911, scimark_benchmark: 914.1182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 0.5022, build_memory: 348691263.4663, f_measure: 0.5798, kappa: 0.4619, kb_relative_information_score: 769.5681, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9608, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 1.0359, build_memory: 106815019.4447, f_measure: 0.5781, kappa: 0.4618, kb_relative_information_score: 766.9751, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5752, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9863, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, build_cpu_time: 2.0208, build_memory: 516865147.9946, f_measure: 0.5804, kappa: 0.465, kb_relative_information_score: 766.2642, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5768, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.0056, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, build_cpu_time: 4.4224, build_memory: 636264291.5633, f_measure: 0.5865, kappa: 0.4724, kb_relative_information_score: 774.0495, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5831, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0098, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, build_cpu_time: 8.9328, build_memory: 420773951.3747, f_measure: 0.5894, kappa: 0.476, kb_relative_information_score: 773.1186, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5863, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.283, root_relative_squared_error: 1.0155, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.167, build_memory: 277730361.31, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.1949, build_memory: 184332868.5175, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 937.279,

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