Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 3674 Supervised Classification mushroom 483 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 974.2014, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, 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: 8122.426, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 936.3373, usercpu_time_millis: 4650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8119.3105, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0034, root_relative_squared_error: 0.0067, scimark_benchmark: 947.1781, usercpu_time_millis: 620, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7860.6559, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.105, scimark_benchmark: 901.6243, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7816.9488, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.057, root_relative_squared_error: 0.114, scimark_benchmark: 944.0133, usercpu_time_millis: 5890, usercpu_time_millis_training: 5890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 932.438, usercpu_time_millis: 5980, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 4200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8117.7231, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0101, root_relative_squared_error: 0.0203, scimark_benchmark: 930.404, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 945.6228, usercpu_time_millis: 170, usercpu_time_millis_testing: 150, 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: 8122.426, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 934.695, usercpu_time_millis: 4550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8119.3105, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0034, root_relative_squared_error: 0.0067, scimark_benchmark: 938.988, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.0574, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0035, scimark_benchmark: 901.6243, usercpu_time_millis: 210140, usercpu_time_millis_testing: 68370, usercpu_time_millis_training: 141770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.2305, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0017, root_relative_squared_error: 0.0034, scimark_benchmark: 938.988, usercpu_time_millis: 105800, usercpu_time_millis_testing: 30900, usercpu_time_millis_training: 74900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 7260.2226, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3515, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9936, kb_relative_information_score: 8072.4841, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.9991, recall: 0.9968, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1003, scimark_benchmark: 936.1714, usercpu_time_millis: 1600, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9855, kappa: 0.9709, kb_relative_information_score: 7878.6511, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.9991, recall: 0.9855, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2273, scimark_benchmark: 935.6052, usercpu_time_millis: 760, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9771, kappa: 0.9541, kb_relative_information_score: 7755.2006, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9772, predictive_accuracy: 0.9771, prior_entropy: 0.9991, recall: 0.9771, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2825, scimark_benchmark: 938.3115, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9717, kappa: 0.9433, kb_relative_information_score: 7657.8122, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9991, recall: 0.9717, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3147, scimark_benchmark: 935.6052, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9635, kappa: 0.927, kb_relative_information_score: 7134.5106, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9991, recall: 0.9636, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4065, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3535, kb_relative_information_score: 277.3862, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6943, root_relative_squared_error: 1.3895, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5289.9027, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7860.6559, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.105, scimark_benchmark: 1274.7011, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 1417.3093, usercpu_time_millis: 6600, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9624, kappa: 0.9247, kb_relative_information_score: 7512.1957, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9641, predictive_accuracy: 0.9625, prior_entropy: 0.9991, recall: 0.9625, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3278, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 1337.9552, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 8099.562, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0178, root_relative_squared_error: 0.0357, scimark_benchmark: 1345.6844, usercpu_time_millis: 546810, usercpu_time_millis_testing: 56870, usercpu_time_millis_training: 489940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8122.426, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 1324.6442, usercpu_time_millis: 5380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 1325.8468, usercpu_time_millis: 7960, usercpu_time_millis_testing: 1820, usercpu_time_millis_training: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9624, kappa: 0.9247, kb_relative_information_score: 7512.1957, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9641, predictive_accuracy: 0.9625, prior_entropy: 0.9991, recall: 0.9625, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3278, scimark_benchmark: 1345.6844, 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: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 1374.9737, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 1337.1928, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 1327.3335, 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: 8117.7231, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0101, root_relative_squared_error: 0.0203, scimark_benchmark: 1326.2019, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8122.426, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 1338.5214, usercpu_time_millis: 5180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1310.3168, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7860.6559, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.105, scimark_benchmark: 1346.0226, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 7816.9488, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.057, root_relative_squared_error: 0.114, scimark_benchmark: 1321.8321, usercpu_time_millis: 5700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 1336.4564, usercpu_time_millis: 7620, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 5820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8119.7601, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0248, scimark_benchmark: 1313.8988, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, 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: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1342.6744, 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: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 1371.174, usercpu_time_millis: 6770, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8119.3105, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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: 0.0034, root_relative_squared_error: 0.0067, scimark_benchmark: 1348.1311, usercpu_time_millis: 370, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 280,

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

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

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