OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99484 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4263, f_measure: 0.4522, kappa: -0.1474, kb_relative_information_score: -0.1699, mean_absolute_error: 0.5477, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4521, predictive_accuracy: 0.4523, prior_entropy: 0.9674, recall: 0.4523, relative_absolute_error: 1.1469, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7401, root_relative_squared_error: 1.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9134, kappa: 0.8186, kb_relative_information_score: 0.8152, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9134, predictive_accuracy: 0.9135, prior_entropy: 0.9674, recall: 0.9135, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.681, kappa: 0.3513, kb_relative_information_score: 0.4178, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8095, predictive_accuracy: 0.7275, prior_entropy: 0.9674, recall: 0.7275, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7128, kappa: 0.3967, kb_relative_information_score: 0.4341, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7507, predictive_accuracy: 0.7351, prior_entropy: 0.9674, recall: 0.7351, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7771, kappa: 0.5288, kb_relative_information_score: 0.5488, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8013, predictive_accuracy: 0.7887, prior_entropy: 0.9674, recall: 0.7887, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7128, kappa: 0.3967, kb_relative_information_score: 0.4341, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7507, predictive_accuracy: 0.7351, prior_entropy: 0.9674, recall: 0.7351, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7771, kappa: 0.5288, kb_relative_information_score: 0.5488, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8013, predictive_accuracy: 0.7887, prior_entropy: 0.9674, recall: 0.7887, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6591, kappa: 0.3122, kb_relative_information_score: 0.3872, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8024, predictive_accuracy: 0.7131, prior_entropy: 0.9674, recall: 0.7131, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8587, kappa: 0.7032, kb_relative_information_score: 0.6992, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8586, predictive_accuracy: 0.8592, prior_entropy: 0.9674, recall: 0.8592, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7771, kappa: 0.5288, kb_relative_information_score: 0.5488, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8013, predictive_accuracy: 0.7887, prior_entropy: 0.9674, recall: 0.7887, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9149, kappa: 0.8213, kb_relative_information_score: 0.8189, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 0.9674, recall: 0.9152, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6594, kappa: 0.3128, kb_relative_information_score: 0.3877, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8025, predictive_accuracy: 0.7133, prior_entropy: 0.9674, recall: 0.7133, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8587, kappa: 0.7032, kb_relative_information_score: 0.6992, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8586, predictive_accuracy: 0.8592, prior_entropy: 0.9674, recall: 0.8592, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6591, kappa: 0.3122, kb_relative_information_score: 0.3872, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8024, predictive_accuracy: 0.7131, prior_entropy: 0.9674, recall: 0.7131, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4287, f_measure: 0.4544, kappa: -0.1426, kb_relative_information_score: -0.1652, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4544, predictive_accuracy: 0.4545, prior_entropy: 0.9674, recall: 0.4545, relative_absolute_error: 1.1423, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7771, kappa: 0.5288, kb_relative_information_score: 0.5488, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8013, predictive_accuracy: 0.7887, prior_entropy: 0.9674, recall: 0.7887, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3029, f_measure: 0.3344, kappa: -0.3946, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.334, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8587, kappa: 0.7032, kb_relative_information_score: 0.6992, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8586, predictive_accuracy: 0.8592, prior_entropy: 0.9674, recall: 0.8592, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9079, kappa: 0.8072, kb_relative_information_score: 0.8032, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9079, predictive_accuracy: 0.9078, prior_entropy: 0.9674, recall: 0.9078, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.889, kappa: 0.7674, kb_relative_information_score: 0.7632, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9674, recall: 0.8892, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4287, f_measure: 0.4544, kappa: -0.1426, kb_relative_information_score: -0.1652, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4544, predictive_accuracy: 0.4545, prior_entropy: 0.9674, recall: 0.4545, relative_absolute_error: 1.1423, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8577, kappa: 0.7006, kb_relative_information_score: 0.6978, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8578, predictive_accuracy: 0.8585, prior_entropy: 0.9674, recall: 0.8585, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8577, kappa: 0.7006, kb_relative_information_score: 0.6978, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8578, predictive_accuracy: 0.8585, prior_entropy: 0.9674, recall: 0.8585, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3029, f_measure: 0.3344, kappa: -0.3946, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.334, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3045, f_measure: 0.336, kappa: -0.3915, kb_relative_information_score: -0.4173, mean_absolute_error: 0.6636, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3355, predictive_accuracy: 0.3364, prior_entropy: 0.9674, recall: 0.3364, relative_absolute_error: 1.3895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8146, root_relative_squared_error: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.889, kappa: 0.7674, kb_relative_information_score: 0.7632, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9674, recall: 0.8892, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8587, kappa: 0.7032, kb_relative_information_score: 0.6992, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8586, predictive_accuracy: 0.8592, prior_entropy: 0.9674, recall: 0.8592, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3448, f_measure: 0.3679, kappa: -0.3336, kb_relative_information_score: -0.266, mean_absolute_error: 0.5927, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3407, predictive_accuracy: 0.4073, prior_entropy: 0.9674, recall: 0.4073, relative_absolute_error: 1.2411, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7699, root_relative_squared_error: 1.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4287, f_measure: 0.4544, kappa: -0.1426, kb_relative_information_score: -0.1652, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4544, predictive_accuracy: 0.4545, prior_entropy: 0.9674, recall: 0.4545, relative_absolute_error: 1.1423, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.681, kappa: 0.3513, kb_relative_information_score: 0.4178, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8095, predictive_accuracy: 0.7275, prior_entropy: 0.9674, recall: 0.7275, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8721, kappa: 0.7317, kb_relative_information_score: 0.7275, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.872, predictive_accuracy: 0.8724, prior_entropy: 0.9674, recall: 0.8724, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3033, f_measure: 0.3346, kappa: -0.3935, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3477, f_measure: 0.377, kappa: -0.3046, kb_relative_information_score: -0.3305, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.377, predictive_accuracy: 0.3771, prior_entropy: 0.9674, recall: 0.3771, relative_absolute_error: 1.3044, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8477, kappa: 0.681, kb_relative_information_score: 0.6746, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8477, predictive_accuracy: 0.8476, prior_entropy: 0.9674, recall: 0.8476, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.889, kappa: 0.7674, kb_relative_information_score: 0.7632, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9674, recall: 0.8892, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8627, kappa: 0.7143, kb_relative_information_score: 0.7052, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8646, predictive_accuracy: 0.862, prior_entropy: 0.9674, recall: 0.862, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3029, f_measure: 0.3344, kappa: -0.3946, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.334, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9149, kappa: 0.8213, kb_relative_information_score: 0.8189, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 0.9674, recall: 0.9152, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3033, f_measure: 0.3346, kappa: -0.3935, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8477, kappa: 0.681, kb_relative_information_score: 0.6746, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8477, predictive_accuracy: 0.8476, prior_entropy: 0.9674, recall: 0.8476, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3477, f_measure: 0.377, kappa: -0.3046, kb_relative_information_score: -0.3305, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.377, predictive_accuracy: 0.3771, prior_entropy: 0.9674, recall: 0.3771, relative_absolute_error: 1.3044, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3477, f_measure: 0.377, kappa: -0.3046, kb_relative_information_score: -0.3305, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.377, predictive_accuracy: 0.3771, prior_entropy: 0.9674, recall: 0.3771, relative_absolute_error: 1.3044, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3038, f_measure: 0.3354, kappa: -0.3934, kb_relative_information_score: -0.4178, mean_absolute_error: 0.6638, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3362, prior_entropy: 0.9674, recall: 0.3362, relative_absolute_error: 1.3899, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8147, root_relative_squared_error: 1.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4287, f_measure: 0.4544, kappa: -0.1426, kb_relative_information_score: -0.1652, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4544, predictive_accuracy: 0.4545, prior_entropy: 0.9674, recall: 0.4545, relative_absolute_error: 1.1423, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7237, kappa: 0.4259, kb_relative_information_score: 0.4062, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7267, predictive_accuracy: 0.722, prior_entropy: 0.9674, recall: 0.722, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.079,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.852, kappa: 0.6899, kb_relative_information_score: 0.6843, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8519, predictive_accuracy: 0.8522, prior_entropy: 0.9674, recall: 0.8522, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7867,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8651, kappa: 0.717, kb_relative_information_score: 0.7126, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.865, predictive_accuracy: 0.8655, prior_entropy: 0.9674, recall: 0.8655, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.852, kappa: 0.6899, kb_relative_information_score: 0.6843, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8519, predictive_accuracy: 0.8522, prior_entropy: 0.9674, recall: 0.8522, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9197, kappa: 0.8322, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5803,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3022, f_measure: 0.3336, kappa: -0.3957, kb_relative_information_score: -0.4233, mean_absolute_error: 0.6664, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3335, predictive_accuracy: 0.3336, prior_entropy: 0.9674, recall: 0.3336, relative_absolute_error: 1.3954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8163, root_relative_squared_error: 1.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.343, f_measure: 0.3725, kappa: -0.3141, kb_relative_information_score: -0.3402, mean_absolute_error: 0.6275, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3725, predictive_accuracy: 0.3725, prior_entropy: 0.9674, recall: 0.3725, relative_absolute_error: 1.3139, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3022, f_measure: 0.3336, kappa: -0.3957, kb_relative_information_score: -0.4233, mean_absolute_error: 0.6664, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3335, predictive_accuracy: 0.3336, prior_entropy: 0.9674, recall: 0.3336, relative_absolute_error: 1.3954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8163, root_relative_squared_error: 1.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.713, kappa: 0.3922, kb_relative_information_score: 0.4067, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7186, predictive_accuracy: 0.7222, prior_entropy: 0.9674, recall: 0.7222, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0786,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7201, kappa: 0.4072, kb_relative_information_score: 0.4216, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7262, predictive_accuracy: 0.7292, prior_entropy: 0.9674, recall: 0.7292, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7984, kappa: 0.573, kb_relative_information_score: 0.584, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8103, predictive_accuracy: 0.8053, prior_entropy: 0.9674, recall: 0.8053, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4183, f_measure: 0.4123, kappa: -0.187, kb_relative_information_score: -0.0585, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3568, predictive_accuracy: 0.5045, prior_entropy: 0.9674, recall: 0.5045, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7039, root_relative_squared_error: 1.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7984, kappa: 0.573, kb_relative_information_score: 0.584, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8103, predictive_accuracy: 0.8053, prior_entropy: 0.9674, recall: 0.8053, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3022, f_measure: 0.3336, kappa: -0.3957, kb_relative_information_score: -0.4233, mean_absolute_error: 0.6664, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3335, predictive_accuracy: 0.3336, prior_entropy: 0.9674, recall: 0.3336, relative_absolute_error: 1.3954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8163, root_relative_squared_error: 1.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9055, kappa: 0.802, kb_relative_information_score: 0.7981, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9054, predictive_accuracy: 0.9055, prior_entropy: 0.9674, recall: 0.9055, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8241, kappa: 0.6297, kb_relative_information_score: 0.6268, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8241, predictive_accuracy: 0.8253, prior_entropy: 0.9674, recall: 0.8253, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3032, f_measure: 0.3358, kappa: -0.3995, kb_relative_information_score: -0.4066, mean_absolute_error: 0.6586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3307, predictive_accuracy: 0.3414, prior_entropy: 0.9674, recall: 0.3414, relative_absolute_error: 1.379, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8115, root_relative_squared_error: 1.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3032, f_measure: 0.3358, kappa: -0.3995, kb_relative_information_score: -0.4066, mean_absolute_error: 0.6586, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3307, predictive_accuracy: 0.3414, prior_entropy: 0.9674, recall: 0.3414, relative_absolute_error: 1.379, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8115, root_relative_squared_error: 1.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.343, f_measure: 0.3725, kappa: -0.3141, kb_relative_information_score: -0.3402, mean_absolute_error: 0.6275, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3725, predictive_accuracy: 0.3725, prior_entropy: 0.9674, recall: 0.3725, relative_absolute_error: 1.3139, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3037, f_measure: 0.3349, kappa: -0.3927, kb_relative_information_score: -0.4206, mean_absolute_error: 0.6651, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3349, predictive_accuracy: 0.3349, prior_entropy: 0.9674, recall: 0.3349, relative_absolute_error: 1.3927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8155, root_relative_squared_error: 1.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3037, f_measure: 0.3349, kappa: -0.3927, kb_relative_information_score: -0.4206, mean_absolute_error: 0.6651, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3349, predictive_accuracy: 0.3349, prior_entropy: 0.9674, recall: 0.3349, relative_absolute_error: 1.3927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8155, root_relative_squared_error: 1.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3037, f_measure: 0.3349, kappa: -0.3927, kb_relative_information_score: -0.4206, mean_absolute_error: 0.6651, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3349, predictive_accuracy: 0.3349, prior_entropy: 0.9674, recall: 0.3349, relative_absolute_error: 1.3927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8155, root_relative_squared_error: 1.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.343, f_measure: 0.3725, kappa: -0.3141, kb_relative_information_score: -0.3402, mean_absolute_error: 0.6275, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3725, predictive_accuracy: 0.3725, prior_entropy: 0.9674, recall: 0.3725, relative_absolute_error: 1.3139, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.408, f_measure: 0.4059, kappa: -0.209, kb_relative_information_score: -0.0858, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3532, predictive_accuracy: 0.4916, prior_entropy: 0.9674, recall: 0.4916, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3558, f_measure: 0.3847, kappa: -0.2883, kb_relative_information_score: -0.3142, mean_absolute_error: 0.6153, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3848, predictive_accuracy: 0.3847, prior_entropy: 0.9674, recall: 0.3847, relative_absolute_error: 1.2884, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7844, root_relative_squared_error: 1.6053,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.31, f_measure: 0.3411, kappa: -0.3802, kb_relative_information_score: -0.4071, mean_absolute_error: 0.6588, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3409, predictive_accuracy: 0.3412, prior_entropy: 0.9674, recall: 0.3412, relative_absolute_error: 1.3795, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8116, root_relative_squared_error: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8241, kappa: 0.6297, kb_relative_information_score: 0.6268, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8241, predictive_accuracy: 0.8253, prior_entropy: 0.9674, recall: 0.8253, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3051, f_measure: 0.3373, kappa: -0.3932, kb_relative_information_score: -0.4085, mean_absolute_error: 0.6594, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3343, predictive_accuracy: 0.3406, prior_entropy: 0.9674, recall: 0.3406, relative_absolute_error: 1.3808, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.812, root_relative_squared_error: 1.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5006, kappa: 0.0602, kb_relative_information_score: 0.2006, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7686, predictive_accuracy: 0.6257, prior_entropy: 0.9674, recall: 0.6257, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6118, root_relative_squared_error: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4114, f_measure: 0.4383, kappa: -0.1777, kb_relative_information_score: -0.1982, mean_absolute_error: 0.561, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4376, predictive_accuracy: 0.439, prior_entropy: 0.9674, recall: 0.439, relative_absolute_error: 1.1747, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.749, root_relative_squared_error: 1.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3038, f_measure: 0.3352, kappa: -0.3926, kb_relative_information_score: -0.4196, mean_absolute_error: 0.6646, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.335, predictive_accuracy: 0.3354, prior_entropy: 0.9674, recall: 0.3354, relative_absolute_error: 1.3917, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8153, root_relative_squared_error: 1.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5444, kappa: 0.0459, kb_relative_information_score: 0.027, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5444, predictive_accuracy: 0.5444, prior_entropy: 0.9674, recall: 0.5444, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6749, root_relative_squared_error: 1.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8928, kappa: 0.7753, kb_relative_information_score: 0.7711, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8928, prior_entropy: 0.9674, recall: 0.8928, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.864, kappa: 0.7171, kb_relative_information_score: 0.708, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.866, predictive_accuracy: 0.8633, prior_entropy: 0.9674, recall: 0.8633, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3051, f_measure: 0.3373, kappa: -0.3932, kb_relative_information_score: -0.4085, mean_absolute_error: 0.6594, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3343, predictive_accuracy: 0.3406, prior_entropy: 0.9674, recall: 0.3406, relative_absolute_error: 1.3808, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.812, root_relative_squared_error: 1.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8423, kappa: 0.6705, kb_relative_information_score: 0.6625, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8428, predictive_accuracy: 0.842, prior_entropy: 0.9674, recall: 0.842, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs