OpenML
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 24 Supervised Classification mushroom 12556 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 under100k under1m
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12556 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 3258.5964, mean_absolute_error: 0.3307, 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: 0.6623, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -158.2465, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6002, root_relative_squared_error: 1.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 6.9401, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 7588.911, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9991, recall: 0.989, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8792, kappa: 0.7586, kb_relative_information_score: 150.4391, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8857, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9294, kappa: 0.8588, kb_relative_information_score: 6395.1729, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9333, predictive_accuracy: 0.9297, prior_entropy: 0.9991, recall: 0.9297, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 1592.07, mean_absolute_error: 0.4247, 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: 0.8506, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 2571.218, mean_absolute_error: 0.3718, 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: 0.7446, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7066, kappa: 0.4163, kb_relative_information_score: 212.5961, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7173, predictive_accuracy: 0.7106, prior_entropy: 0.9991, recall: 0.7106, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 277.3862, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7696, kappa: 0.5395, kb_relative_information_score: 3055.1513, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.771, predictive_accuracy: 0.7696, prior_entropy: 0.9991, recall: 0.7696, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9765, kappa: 0.9529, kb_relative_information_score: 7388.5138, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 0.9991, recall: 0.9765, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.882, kappa: 0.7637, kb_relative_information_score: 3753.4463, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9991, recall: 0.882, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4989, kappa: 0.0002, kb_relative_information_score: 5.7972, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.5008, predictive_accuracy: 0.5037, prior_entropy: 0.9991, recall: 0.5037, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.2992, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.39, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9009, kappa: 0.8022, kb_relative_information_score: 1675.7359, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9116, predictive_accuracy: 0.9018, prior_entropy: 0.9991, recall: 0.9018, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 5.7624, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -76.1743, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 3401.1804, mean_absolute_error: 0.3221, 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: 0.645, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9853, kappa: 0.9706, kb_relative_information_score: 7398.9425, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9991, recall: 0.9854, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9351, kappa: 0.8701, kb_relative_information_score: 5999.3878, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9393, predictive_accuracy: 0.9354, prior_entropy: 0.9991, recall: 0.9354, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.1387, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.8544, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 6.7035, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -25.1099, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9629, kappa: 0.9258, kb_relative_information_score: 7017.8329, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 0.9991, recall: 0.9629, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5072.69, mean_absolute_error: 0.2083, 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: 0.4172, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.64, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9734, kappa: 0.9467, kb_relative_information_score: 6999.4927, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9991, recall: 0.9734, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 4.3026, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7084, kappa: 0.4166, kb_relative_information_score: 1940.9485, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7114, predictive_accuracy: 0.7099, prior_entropy: 0.9991, recall: 0.7099, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 3.4355, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -8.4998, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9505, kappa: 0.9008, kb_relative_information_score: 6557.9791, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9508, predictive_accuracy: 0.9505, prior_entropy: 0.9991, recall: 0.9505, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9174, kappa: 0.8348, kb_relative_information_score: 3856.5585, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9179, predictive_accuracy: 0.9174, prior_entropy: 0.9991, recall: 0.9174, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8659, kappa: 0.732, kb_relative_information_score: 1588.6059, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8731, predictive_accuracy: 0.8668, prior_entropy: 0.9991, recall: 0.8668, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 5.5027, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5149.9017, mean_absolute_error: 0.2016, 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: 0.4038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.3251, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9774, kappa: 0.9546, kb_relative_information_score: 6783.1122, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9991, recall: 0.9774, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9469, kappa: 0.8936, kb_relative_information_score: 6535.785, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 0.9991, recall: 0.9469, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8805, kappa: 0.7634, kb_relative_information_score: 6104.9379, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8946, predictive_accuracy: 0.8811, prior_entropy: 0.9991, recall: 0.8811, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7696, kappa: 0.5395, kb_relative_information_score: 3275.9232, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.771, predictive_accuracy: 0.7696, prior_entropy: 0.9991, recall: 0.7696, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 8.5719, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.4073, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.0304, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -7.0385, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4989, kappa: 0.0002, kb_relative_information_score: 4.3345, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.5008, predictive_accuracy: 0.5037, prior_entropy: 0.9991, recall: 0.5037, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0059,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.914, kappa: 0.8278, kb_relative_information_score: 5167.2656, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9158, predictive_accuracy: 0.9142, prior_entropy: 0.9991, recall: 0.9142, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5788,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.7477, kappa: 0.4958, kb_relative_information_score: 3696.0464, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7493, predictive_accuracy: 0.7477, prior_entropy: 0.9991, recall: 0.7477, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.9016, kappa: 0.8031, kb_relative_information_score: 6392.4093, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9023, predictive_accuracy: 0.9015, prior_entropy: 0.9991, recall: 0.9015, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9684, kappa: 0.9366, kb_relative_information_score: 6265.8611, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9991, recall: 0.9684, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.3972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9586, kappa: 0.9171, kb_relative_information_score: 6742.3877, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9587, predictive_accuracy: 0.9586, prior_entropy: 0.9991, recall: 0.9586, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7713, kappa: 0.5603, kb_relative_information_score: 3270.7016, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8475, predictive_accuracy: 0.7839, prior_entropy: 0.9991, recall: 0.7839, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 6716.1613, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 0.9991, recall: 0.9729, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.346,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.3182, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9694, kappa: 0.9386, kb_relative_information_score: 7162.7648, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9991, recall: 0.9694, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 3467.1322, mean_absolute_error: 0.3187, 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: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.699,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 6.6433, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.779, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2107, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8995, kappa: 0.7996, kb_relative_information_score: 6504.9817, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9126, predictive_accuracy: 0.9005, prior_entropy: 0.9991, recall: 0.9005, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6311,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9868, kappa: 0.9736, kb_relative_information_score: 7909.5971, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9871, predictive_accuracy: 0.9868, prior_entropy: 0.9991, recall: 0.9868, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.2297,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8909, kappa: 0.7828, kb_relative_information_score: 6370.7318, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9065, predictive_accuracy: 0.8923, prior_entropy: 0.9991, recall: 0.8923, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6568,
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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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8107.9664, mean_absolute_error: 0.001, 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: 0.002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.0628,
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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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6925, kappa: 0.3841, kb_relative_information_score: 3120.6803, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.6925, predictive_accuracy: 0.6926, prior_entropy: 0.9991, recall: 0.6926, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5544, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8107.9664, mean_absolute_error: 0.001, 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: 0.002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.0628,

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