OpenML
Supervised Classification on hutsof99_logis

Supervised Classification on hutsof99_logis

Task 3669 Supervised Classification hutsof99_logis 538 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7138, kappa: 0.4272, kb_relative_information_score: 14.2781, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7145, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7138, kappa: 0.43, kb_relative_information_score: 25.3481, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.718, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 18.8536, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 19.9421, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6433, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.1957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.6978, kappa: 0.397, kb_relative_information_score: 18.9101, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7029, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7001, kappa: 0.4, kb_relative_information_score: 24.6153, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7004, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6555, kappa: 0.3171, kb_relative_information_score: 13.8429, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6636, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 29.9699, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 22.7747, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7286, kappa: 0.4571, kb_relative_information_score: 17.6749, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.729, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.5034, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 28.5443, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6991, kappa: 0.398, kb_relative_information_score: 26.1977, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5268, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.7428, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.628, kappa: 0.2553, kb_relative_information_score: 16.5286, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6284, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6998, kappa: 0.399, kb_relative_information_score: 22.2691, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6999, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7711, kappa: 0.5417, kb_relative_information_score: 30.3942, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7719, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7711, kappa: 0.5417, kb_relative_information_score: 30.3942, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7719, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7095, kappa: 0.4243, kb_relative_information_score: 23.4368, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7243, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.6555, kappa: 0.3115, kb_relative_information_score: 25.3558, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6581, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.6842, kappa: 0.3689, kb_relative_information_score: 19.5265, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7277, kappa: 0.4589, kb_relative_information_score: 14.8605, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7344, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.3493, kb_relative_information_score: -0.212, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7403, kappa: 0.4828, kb_relative_information_score: 25.0879, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.749, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7997, kappa: 0.599, kb_relative_information_score: 24.9826, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 0.9994, recall: 0.8, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7997, kappa: 0.599, kb_relative_information_score: 24.9826, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 0.9994, recall: 0.8, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 32.7939, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 11.5599, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.4106, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7138, kappa: 0.4272, kb_relative_information_score: 26.5259, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7145, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.545, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6991, kappa: 0.398, kb_relative_information_score: 27.951, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6991, kappa: 0.398, kb_relative_information_score: 27.951, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 29.9062, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 11.5599, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6991, kappa: 0.398, kb_relative_information_score: 27.951, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 20.077, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.545, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.5855, kappa: 0.1728, kb_relative_information_score: 5.664, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.5874, predictive_accuracy: 0.5857, prior_entropy: 0.9994, recall: 0.5857, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.6842, kappa: 0.374, kb_relative_information_score: 21.3236, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6929, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9398, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.6063, kappa: 0.2222, kb_relative_information_score: 15.9376, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6194, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2426, scimark_benchmark: 1631.1992, usercpu_time_millis: 112453.125, usercpu_time_millis_training: 112453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3493, kb_relative_information_score: 1.922, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3944, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 21.9443, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1716, scimark_benchmark: 1862.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7129, kappa: 0.4262, kb_relative_information_score: 29.9532, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7162, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695, scimark_benchmark: 1183.0536, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6555, kappa: 0.3171, kb_relative_information_score: 13.8429, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6636, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9772, scimark_benchmark: 1047.2774, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.6842, kappa: 0.374, kb_relative_information_score: 18.0554, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6929, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.894, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.581, kappa: 0.2097, kb_relative_information_score: 15.7554, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.632, predictive_accuracy: 0.6, prior_entropy: 0.9994, recall: 0.6, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.051, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7416, kappa: 0.4878, kb_relative_information_score: 29.6158, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7514, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9364, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7703, kappa: 0.541, kb_relative_information_score: 19.1457, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7743, predictive_accuracy: 0.7714, prior_entropy: 0.9994, recall: 0.7714, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8812, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7266, kappa: 0.4545, kb_relative_information_score: 18.7325, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7322, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.934, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7403, kappa: 0.4828, kb_relative_information_score: 25.0879, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.749, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8708, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6842, kappa: 0.3689, kb_relative_information_score: 25.9488, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1217, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6691, kappa: 0.3396, kb_relative_information_score: 23.9465, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6737, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1469, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6418, kappa: 0.288, kb_relative_information_score: 13.2821, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6473, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0097, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6418, kappa: 0.288, kb_relative_information_score: 13.2821, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6473, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0097, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7277, kappa: 0.4554, kb_relative_information_score: 26.8392, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7296, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9065, scimark_benchmark: 1732.2066,

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