OpenML
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 1904 Supervised Classification mushroom 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.0888, scimark_benchmark: 1299.9304, usercpu_time_millis: 10000, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 8150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81223.1251, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 1322.7257, usercpu_time_millis: 5330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 1347.993, usercpu_time_millis: 500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 1281.7531, usercpu_time_millis: 400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81233.8243, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0015, scimark_benchmark: 1371.9645, usercpu_time_millis: 1290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 80992.8259, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0363, scimark_benchmark: 1320.9387, usercpu_time_millis: 565710, usercpu_time_millis_testing: 65460, usercpu_time_millis_training: 500250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1312.2688, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1347.917, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 933.1165, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1313.5052, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81184.8767, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0077, root_relative_squared_error: 0.0155, scimark_benchmark: 1064.8317, usercpu_time_millis: 3400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1064.8317, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81232.0419, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0018, scimark_benchmark: 1323.4648, usercpu_time_millis: 274410, usercpu_time_millis_testing: 274410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1328.941, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1320.9026, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 80486.855, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0176, root_relative_squared_error: 0.0351, scimark_benchmark: 1347.5461, usercpu_time_millis: 800, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 80843.9842, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9991, recall: 0.9978, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.0929, scimark_benchmark: 950.6776, usercpu_time_millis: 2860, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 950.6776, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1343.2125, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9921, kappa: 0.9842, kb_relative_information_score: 79351.5849, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9991, recall: 0.9921, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1719, scimark_benchmark: 906.4475, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9999, kb_relative_information_score: 81138.6632, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0183, scimark_benchmark: 1340.9497, usercpu_time_millis: 13820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 13790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1314.9535, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 52886.3155, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6189, scimark_benchmark: 1334.4761, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.0888, scimark_benchmark: 1341.4232, usercpu_time_millis: 7240, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 5340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1318.5627, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81237.6389, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0028, root_relative_squared_error: 0.0055, scimark_benchmark: 833.3193, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.555, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0001, scimark_benchmark: 1307.3764, usercpu_time_millis: 980, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9991, kb_relative_information_score: 81122.8083, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0346, scimark_benchmark: 1358.4523, usercpu_time_millis: 1081520, usercpu_time_millis_testing: 1081500, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 934.4732, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81238.2886, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1305.7231, usercpu_time_millis: 8810, usercpu_time_millis_testing: 8810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1345.4669, usercpu_time_millis: 52080, usercpu_time_millis_testing: 52080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3535, kb_relative_information_score: -0.0265, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 1327.3602, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9977, kappa: 0.9953, kb_relative_information_score: 4113.7381, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.9991, recall: 0.9977, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9639, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81238.2872, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 854.5188, usercpu_time_millis: 16930, usercpu_time_millis_testing: 16930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81238.2889, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1335.643, usercpu_time_millis: 12400, usercpu_time_millis_testing: 12400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9994, kappa: 0.9988, kb_relative_information_score: 81143.7836, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9991, recall: 0.9994, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0486, scimark_benchmark: 889.3151, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 81209.9067, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0272, scimark_benchmark: 930.5999, usercpu_time_millis: 3990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 80997.5113, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9991, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0772, scimark_benchmark: 930.5999, usercpu_time_millis: 44220, usercpu_time_millis_testing: 4860, usercpu_time_millis_training: 39360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 80992.8259, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0363, scimark_benchmark: 1325.2092, usercpu_time_millis: 603300, usercpu_time_millis_testing: 61110, usercpu_time_millis_training: 542190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1312.3073, usercpu_time_millis: 2220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 81053.6228, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.015, root_relative_squared_error: 0.03, scimark_benchmark: 1337.7959, usercpu_time_millis: 10400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 939.449, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81223.1251, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 1361.1055, usercpu_time_millis: 5110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 1318.5526, usercpu_time_millis: 500, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81236.6247, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0079, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9997, kb_relative_information_score: 81206.7616, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0221, scimark_benchmark: 1066.7184, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 81100.0507, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0455, scimark_benchmark: 1361.1055, usercpu_time_millis: 2520, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9999, kb_relative_information_score: 81229.944, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0078, root_relative_squared_error: 0.0157, scimark_benchmark: 1280.6952, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8163, kappa: 0.6323, kb_relative_information_score: 51328.2685, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.8166, predictive_accuracy: 0.8162, prior_entropy: 0.9991, recall: 0.8162, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8579, scimark_benchmark: 1384.4418, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1466.6185, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9852, kappa: 0.9704, kb_relative_information_score: 78835.4857, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 0.9991, recall: 0.9852, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2432, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1358.4955, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3535, kb_relative_information_score: -0.0265, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1054.3694, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3566, build_memory: 866361713.459, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3085, build_memory: 1102997656.3584, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2915, build_memory: 1099850771.2773, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3189, build_memory: 302609332.9736, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.7327,

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