Task
Supervised Classification on arsenic-female-lung

Supervised Classification on arsenic-female-lung

Task 3813 Supervised Classification arsenic-female-lung 554 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, build_cpu_time: 0.0408, build_memory: 175191893.7531, f_measure: 0.9493, kb_relative_information_score: 115.4981, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.9246, scimark_benchmark: 918.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, build_cpu_time: 0.0697, build_memory: 26797138.6619, f_measure: 0.9493, kb_relative_information_score: 115.4981, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.9246, scimark_benchmark: 927.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 38.7722, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5948, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 397.1407, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5708, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 394.7269, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5706, scimark_benchmark: 1314.2279, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 5.229, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 159.945, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.5785, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 66.9799, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.6122, scimark_benchmark: 1264.9916, usercpu_time_millis: 870, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -23.1407, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.6324, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 38.7722, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5948, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.987, kappa: 0.7936, kb_relative_information_score: 228.5585, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5886, scimark_benchmark: 1278.6629, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 159.945, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.5785, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 66.9799, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.6122, scimark_benchmark: 1334.8032, usercpu_time_millis: 860, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 38.7722, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5948, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 1334.863, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.9838, kappa: 0.7265, kb_relative_information_score: 363.8637, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9859, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.6602, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.9536, kappa: 0.0969, kb_relative_information_score: 144.8235, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9688, predictive_accuracy: 0.9678, prior_entropy: 0.222, recall: 0.9678, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.9903, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 2.186, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, usercpu_time_millis: 2.271, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0022, kb_relative_information_score: -11289.0796, mean_absolute_error: 0.966, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.0012, predictive_accuracy: 0.034, prior_entropy: 0.222, recall: 0.034, relative_absolute_error: 14.3717, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.9829, root_relative_squared_error: 5.4239, usercpu_time_millis: 5.721, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 5.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.9816, kappa: 0.713, kb_relative_information_score: 320.0557, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9813, predictive_accuracy: 0.9821, prior_entropy: 0.222, recall: 0.9821, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.7381, usercpu_time_millis: 380.451, usercpu_time_millis_testing: 5.517, usercpu_time_millis_training: 374.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.9866, kappa: 0.7816, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, usercpu_time_millis: 14.508, usercpu_time_millis_testing: 1.955, usercpu_time_millis_training: 12.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.979, kappa: 0.6349, kb_relative_information_score: 320.0557, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9824, predictive_accuracy: 0.9821, prior_entropy: 0.222, recall: 0.9821, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.7381, usercpu_time_millis: 2.158, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 1.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 2.742, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 1.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9484, kappa: -0.0034, kb_relative_information_score: 101.0154, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9331, predictive_accuracy: 0.9642, prior_entropy: 0.222, recall: 0.9642, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1892, root_relative_squared_error: 1.0438, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.9866, kappa: 0.7816, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, usercpu_time_millis: 2.806, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 2.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, usercpu_time_millis: 1.458, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, usercpu_time_millis: 3.114, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 2.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.9838, kappa: 0.7265, kb_relative_information_score: 363.8637, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9859, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.6602, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 6.035, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 5.557,

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