OpenML
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: 0.9994, kappa: 0.9988, kb_relative_information_score: 8111.2046, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9991, recall: 0.9994, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0437, scimark_benchmark: 1319.9043, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 8110.2119, mean_absolute_error: 0.001, 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: 0.002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0444, scimark_benchmark: 1355.7054, usercpu_time_millis: 2450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2440,
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: 1341.5768, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8228, kappa: 0.6507, kb_relative_information_score: 5262.6686, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8417, predictive_accuracy: 0.8242, prior_entropy: 0.9991, recall: 0.8242, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8391, scimark_benchmark: 1335.4072, usercpu_time_millis: 360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 320,
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: 1392.1129, 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: 7883.5486, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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_training: 10,
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: 1353.5686, 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: -0.0027, mean_absolute_error: 0.4994, 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: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
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: 1605.6303, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9957, kappa: 0.9914, kb_relative_information_score: 8053.0283, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.9991, recall: 0.9957, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.1309, scimark_benchmark: 931.2336, usercpu_time_millis: 520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 8113.4629, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9991, recall: 0.9993, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0471, scimark_benchmark: 945.6434, usercpu_time_millis: 1080, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 760,
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: 941.7954, usercpu_time_millis: 2320, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1640,
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: 923.7642, usercpu_time_millis: 4410, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 3060,
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: 894.7455, usercpu_time_millis: 8770, usercpu_time_millis_testing: 2600, usercpu_time_millis_training: 6170,
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: 911.3823, usercpu_time_millis: 1450, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1380,
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: 936.7115, usercpu_time_millis: 790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 760,
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: 938.2848, usercpu_time_millis: 420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 390,
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: 933.8635, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9085, mean_absolute_error: 0, 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, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 936.6206, usercpu_time_millis: 1460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8116.218, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0145, scimark_benchmark: 924.6116, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 8066.5867, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9991, recall: 0.9993, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0541, scimark_benchmark: 945.6434, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 7909.4185, mean_absolute_error: 0.017, 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: 0.0339, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1027, scimark_benchmark: 947.9494, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 7393.1168, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 0.9991, recall: 0.9824, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2434, scimark_benchmark: 929.566, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3535, kb_relative_information_score: -0.0027, mean_absolute_error: 0.4994, 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: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9941, kb_relative_information_score: 8000.6016, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9971, predictive_accuracy: 0.997, prior_entropy: 0.9991, recall: 0.997, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.0854, scimark_benchmark: 943.2745, usercpu_time_millis: 3480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3450,
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: 930.32, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, 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: 8123.2355, 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: 0.0025, root_relative_squared_error: 0.005, scimark_benchmark: 930.32, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9858, kappa: 0.9716, kb_relative_information_score: 7560.2655, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9859, predictive_accuracy: 0.9858, prior_entropy: 0.9991, recall: 0.9858, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2122, scimark_benchmark: 932.3943, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 7393.1168, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 0.9991, recall: 0.9824, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2434, scimark_benchmark: 911.0478, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
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: 901.0726, 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: 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: 904.3001, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, 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: 7935.0517, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0395, scimark_benchmark: 947.9494, usercpu_time_millis: 3750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3700,
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: 917.7039, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 891.2195, usercpu_time_millis: 528100, usercpu_time_millis_testing: 104700, usercpu_time_millis_training: 423400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 8103.959, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.9991, recall: 0.9988, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0702, scimark_benchmark: 941.8057, usercpu_time_millis: 47080, usercpu_time_millis_testing: 5790, usercpu_time_millis_training: 41290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9624, kappa: 0.9247, kb_relative_information_score: 7512.1969, 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: 932.3943, usercpu_time_millis: 1390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8122.1454, mean_absolute_error: 0.0002, 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: 0.0005, root_relative_squared_error: 0.0011, scimark_benchmark: 889.9795, usercpu_time_millis: 715840, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 715090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0382, build_memory: 593034748.6312, 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: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0284, build_memory: 887425672.6115, 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: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0179, build_memory: 496180048.6214, 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: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 4.5888, build_memory: 94408159.2654, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.8281, mean_absolute_error: 0, 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, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.1686, build_memory: 391533476.5081, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8118.2634, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0102, root_relative_squared_error: 0.0204, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 127.8255, build_memory: 2598962223.096, f_measure: 0.9996, kappa: 0.9993, kb_relative_information_score: 8118.3027, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0137, root_relative_squared_error: 0.0275, scimark_benchmark: 934.281,

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

OpenML bootcamp

From your own software

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

OpenML APIs