OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8843, kappa: 0.7401, kb_relative_information_score: 11219.8173, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8861, predictive_accuracy: 0.8834, prior_entropy: 0.9135, recall: 0.8834, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9074, kappa: 0.7906, kb_relative_information_score: 12100.529, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9077, predictive_accuracy: 0.9072, prior_entropy: 0.9135, recall: 0.9072, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8556, kappa: 0.6798, kb_relative_information_score: 10100.4302, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8623, predictive_accuracy: 0.8533, prior_entropy: 0.9135, recall: 0.8533, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.6194, kappa: 0.1374, kb_relative_information_score: 1424.584, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6194, predictive_accuracy: 0.6194, prior_entropy: 0.9135, recall: 0.6194, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6169, root_relative_squared_error: 1.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7623, kappa: 0.4487, kb_relative_information_score: 7059.7072, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7638, predictive_accuracy: 0.7713, prior_entropy: 0.9135, recall: 0.7713, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8871, kappa: 0.7441, kb_relative_information_score: 11353.4754, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8871, predictive_accuracy: 0.887, prior_entropy: 0.9135, recall: 0.887, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7488, kappa: 0.4197, kb_relative_information_score: 6484.4998, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7477, predictive_accuracy: 0.7558, prior_entropy: 0.9135, recall: 0.7558, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8666, kappa: 0.702, kb_relative_information_score: 10539.5927, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8702, predictive_accuracy: 0.8651, prior_entropy: 0.9135, recall: 0.8651, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.6199, kappa: 0.1387, kb_relative_information_score: 1443.678, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6199, predictive_accuracy: 0.6199, prior_entropy: 0.9135, recall: 0.6199, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6165, root_relative_squared_error: 1.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3161, f_measure: 0.3965, kappa: -0.3677, kb_relative_information_score: -6847.901, mean_absolute_error: 0.6035, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3965, predictive_accuracy: 0.3965, prior_entropy: 0.9135, recall: 0.3965, relative_absolute_error: 1.3678, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7769, root_relative_squared_error: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8338, kappa: 0.6348, kb_relative_information_score: 9250.7463, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8304, prior_entropy: 0.9135, recall: 0.8304, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7732, kappa: 0.4867, kb_relative_information_score: 7116.9893, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7735, predictive_accuracy: 0.7729, prior_entropy: 0.9135, recall: 0.7729, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7572, kappa: 0.4501, kb_relative_information_score: 6532.2349, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7574, predictive_accuracy: 0.7571, prior_entropy: 0.9135, recall: 0.7571, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.6091, kappa: 0.1145, kb_relative_information_score: 1037.9301, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6093, predictive_accuracy: 0.609, prior_entropy: 0.9135, recall: 0.609, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.3313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8898, kappa: 0.7521, kb_relative_information_score: 11432.2383, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8911, predictive_accuracy: 0.8892, prior_entropy: 0.9135, recall: 0.8892, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9032, kappa: 0.781, kb_relative_information_score: 11945.3901, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9034, predictive_accuracy: 0.903, prior_entropy: 0.9135, recall: 0.903, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8336, kappa: 0.6345, kb_relative_information_score: 9243.586, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8464, kappa: 0.6607, kb_relative_information_score: 9744.8041, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8548, predictive_accuracy: 0.8437, prior_entropy: 0.9135, recall: 0.8437, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.836, kappa: 0.6391, kb_relative_information_score: 9339.0561, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8464, predictive_accuracy: 0.8327, prior_entropy: 0.9135, recall: 0.8327, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8187, kappa: 0.5894, kb_relative_information_score: 8809.197, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8189, predictive_accuracy: 0.8185, prior_entropy: 0.9135, recall: 0.8185, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.388, f_measure: 0.4656, kappa: -0.2478, kb_relative_information_score: -2926.4663, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4379, predictive_accuracy: 0.5022, prior_entropy: 0.9135, recall: 0.5022, relative_absolute_error: 1.1283, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7056, root_relative_squared_error: 1.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.749, kappa: 0.4201, kb_relative_information_score: 6489.2733, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7479, predictive_accuracy: 0.7559, prior_entropy: 0.9135, recall: 0.7559, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.6277, kappa: 0.1537, kb_relative_information_score: 1777.8234, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6266, predictive_accuracy: 0.6289, prior_entropy: 0.9135, recall: 0.6289, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8337, kappa: 0.6348, kb_relative_information_score: 9248.3595, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8303, prior_entropy: 0.9135, recall: 0.8303, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8969, kappa: 0.7671, kb_relative_information_score: 11709.1016, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8973, predictive_accuracy: 0.8966, prior_entropy: 0.9135, recall: 0.8966, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8631, kappa: 0.6941, kb_relative_information_score: 10408.3213, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8666, predictive_accuracy: 0.8616, prior_entropy: 0.9135, recall: 0.8616, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.6705, kappa: 0.2532, kb_relative_information_score: 3322.0524, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6705, predictive_accuracy: 0.6706, prior_entropy: 0.9135, recall: 0.6706, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.574, root_relative_squared_error: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8923, kappa: 0.757, kb_relative_information_score: 11530.0951, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.893, predictive_accuracy: 0.8918, prior_entropy: 0.9135, recall: 0.8918, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7808, kappa: 0.5033, kb_relative_information_score: 7412.9466, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 0.9135, recall: 0.7808, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8339, kappa: 0.6351, kb_relative_information_score: 9253.133, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8452, predictive_accuracy: 0.8304, prior_entropy: 0.9135, recall: 0.8304, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8257, kappa: 0.6064, kb_relative_information_score: 9055.0325, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8264, predictive_accuracy: 0.8251, prior_entropy: 0.9135, recall: 0.8251, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5399, kappa: 0.0008, kb_relative_information_score: 3360.2405, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7795, predictive_accuracy: 0.6716, prior_entropy: 0.9135, recall: 0.6716, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.2201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8582, kappa: 0.6853, kb_relative_information_score: 10200.6738, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8645, predictive_accuracy: 0.856, prior_entropy: 0.9135, recall: 0.856, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8339, kappa: 0.635, kb_relative_information_score: 9253.133, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8304, prior_entropy: 0.9135, recall: 0.8304, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.6078, kappa: 0.1029, kb_relative_information_score: 1152.4942, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6043, predictive_accuracy: 0.6121, prior_entropy: 0.9135, recall: 0.6121, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.834, kappa: 0.6353, kb_relative_information_score: 9257.9065, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8453, predictive_accuracy: 0.8306, prior_entropy: 0.9135, recall: 0.8306, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3209, f_measure: 0.4008, kappa: -0.3583, kb_relative_information_score: -6680.8283, mean_absolute_error: 0.599, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4007, predictive_accuracy: 0.401, prior_entropy: 0.9135, recall: 0.401, relative_absolute_error: 1.3576, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.774, root_relative_squared_error: 1.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3262, f_measure: 0.4053, kappa: -0.3475, kb_relative_information_score: -6520.9159, mean_absolute_error: 0.5947, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4054, predictive_accuracy: 0.4053, prior_entropy: 0.9135, recall: 0.4053, relative_absolute_error: 1.3478, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7712, root_relative_squared_error: 1.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.8295, kappa: 0.6162, kb_relative_information_score: 9181.5304, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.831, predictive_accuracy: 0.8285, prior_entropy: 0.9135, recall: 0.8285, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8888, kappa: 0.7495, kb_relative_information_score: 11398.8237, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8898, predictive_accuracy: 0.8883, prior_entropy: 0.9135, recall: 0.8883, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8304, kappa: 0.6278, kb_relative_information_score: 9119.4749, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8422, predictive_accuracy: 0.8268, prior_entropy: 0.9135, recall: 0.8268, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.6402, kappa: 0.1831, kb_relative_information_score: 2219.3727, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6396, predictive_accuracy: 0.6408, prior_entropy: 0.9135, recall: 0.6408, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5993, root_relative_squared_error: 1.2759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.6509, kappa: 0.2081, kb_relative_information_score: 2606.0266, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6506, predictive_accuracy: 0.6513, prior_entropy: 0.9135, recall: 0.6513, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8849, kappa: 0.7408, kb_relative_information_score: 11250.8451, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.886, predictive_accuracy: 0.8843, prior_entropy: 0.9135, recall: 0.8843, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7243,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8347, kappa: 0.6367, kb_relative_information_score: 9284.1608, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8458, predictive_accuracy: 0.8313, prior_entropy: 0.9135, recall: 0.8313, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.6438, kappa: 0.1931, kb_relative_information_score: 2324.3898, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.644, predictive_accuracy: 0.6437, prior_entropy: 0.9135, recall: 0.6437, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5969, root_relative_squared_error: 1.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8337, kappa: 0.6348, kb_relative_information_score: 9248.3595, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8303, prior_entropy: 0.9135, recall: 0.8303, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.885, kappa: 0.7415, kb_relative_information_score: 11248.4583, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8865, predictive_accuracy: 0.8842, prior_entropy: 0.9135, recall: 0.8842, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3162, f_measure: 0.3966, kappa: -0.3675, kb_relative_information_score: -6843.1275, mean_absolute_error: 0.6034, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3966, predictive_accuracy: 0.3966, prior_entropy: 0.9135, recall: 0.3966, relative_absolute_error: 1.3675, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7768, root_relative_squared_error: 1.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8663, kappa: 0.7012, kb_relative_information_score: 10525.2722, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8699, predictive_accuracy: 0.8647, prior_entropy: 0.9135, recall: 0.8647, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.622, kappa: 0.143, kb_relative_information_score: 1527.2144, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6219, predictive_accuracy: 0.6222, prior_entropy: 0.9135, recall: 0.6222, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6147, root_relative_squared_error: 1.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6479, kappa: 0.2028, kb_relative_information_score: 2467.5949, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6482, predictive_accuracy: 0.6475, prior_entropy: 0.9135, recall: 0.6475, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5937, root_relative_squared_error: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8338, kappa: 0.6349, kb_relative_information_score: 9250.7463, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8304, prior_entropy: 0.9135, recall: 0.8304, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8572, kappa: 0.6834, kb_relative_information_score: 10160.0991, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.864, predictive_accuracy: 0.8549, prior_entropy: 0.9135, recall: 0.8549, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8372, kappa: 0.6415, kb_relative_information_score: 9386.7912, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8472, predictive_accuracy: 0.834, prior_entropy: 0.9135, recall: 0.834, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8863, kappa: 0.7445, kb_relative_information_score: 11293.8066, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.888, predictive_accuracy: 0.8854, prior_entropy: 0.9135, recall: 0.8854, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.6144, kappa: 0.1259, kb_relative_information_score: 1238.4173, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6143, predictive_accuracy: 0.6144, prior_entropy: 0.9135, recall: 0.6144, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.621, root_relative_squared_error: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8697, kappa: 0.7069, kb_relative_information_score: 10675.6376, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8713, predictive_accuracy: 0.8688, prior_entropy: 0.9135, recall: 0.8688, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.7489, kappa: 0.4309, kb_relative_information_score: 6231.504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7489, predictive_accuracy: 0.749, prior_entropy: 0.9135, recall: 0.749, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8339, kappa: 0.6351, kb_relative_information_score: 9255.5198, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8452, predictive_accuracy: 0.8305, prior_entropy: 0.9135, recall: 0.8305, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8336, kappa: 0.6345, kb_relative_information_score: 9241.1992, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8449, predictive_accuracy: 0.8301, prior_entropy: 0.9135, recall: 0.8301, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.9032, kappa: 0.7813, kb_relative_information_score: 11940.6166, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9036, predictive_accuracy: 0.9029, prior_entropy: 0.9135, recall: 0.9029, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.6224, kappa: 0.1441, kb_relative_information_score: 1534.3746, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6223, predictive_accuracy: 0.6224, prior_entropy: 0.9135, recall: 0.6224, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9018, kappa: 0.7785, kb_relative_information_score: 11885.7213, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9025, predictive_accuracy: 0.9014, prior_entropy: 0.9135, recall: 0.9014, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.6375, kappa: 0.1785, kb_relative_information_score: 2095.2615, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6375, predictive_accuracy: 0.6375, prior_entropy: 0.9135, recall: 0.6375, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6021, root_relative_squared_error: 1.2818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8376, kappa: 0.6345, kb_relative_information_score: 9479.8745, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8392, predictive_accuracy: 0.8365, prior_entropy: 0.9135, recall: 0.8365, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8513, kappa: 0.6698, kb_relative_information_score: 9940.5178, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8575, predictive_accuracy: 0.849, prior_entropy: 0.9135, recall: 0.849, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.8274,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8605, kappa: 0.6899, kb_relative_information_score: 10293.7572, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.866, predictive_accuracy: 0.8585, prior_entropy: 0.9135, recall: 0.8585, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8985, kappa: 0.7714, kb_relative_information_score: 11759.2234, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8995, predictive_accuracy: 0.898, prior_entropy: 0.9135, recall: 0.898, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3651, f_measure: 0.4397, kappa: -0.2698, kb_relative_information_score: -5246.3899, mean_absolute_error: 0.5604, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4397, predictive_accuracy: 0.4396, prior_entropy: 0.9135, recall: 0.4396, relative_absolute_error: 1.27, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7486, root_relative_squared_error: 1.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.8304, kappa: 0.6282, kb_relative_information_score: 9119.4749, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8426, predictive_accuracy: 0.8268, prior_entropy: 0.9135, recall: 0.8268, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8336, kappa: 0.6346, kb_relative_information_score: 9243.586, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8302, prior_entropy: 0.9135, recall: 0.8302, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.6419, kappa: 0.1887, kb_relative_information_score: 2252.7872, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.642, predictive_accuracy: 0.6417, prior_entropy: 0.9135, recall: 0.6417, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8342, kappa: 0.6358, kb_relative_information_score: 9267.4535, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8454, predictive_accuracy: 0.8308, prior_entropy: 0.9135, recall: 0.8308, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8859, kappa: 0.7436, kb_relative_information_score: 11277.0993, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8876, predictive_accuracy: 0.885, prior_entropy: 0.9135, recall: 0.885, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.6787, kappa: 0.2715, kb_relative_information_score: 3625.17, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6786, predictive_accuracy: 0.6787, prior_entropy: 0.9135, recall: 0.6787, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8478, kappa: 0.6634, kb_relative_information_score: 9799.6994, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8557, predictive_accuracy: 0.8452, prior_entropy: 0.9135, recall: 0.8452, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3192, f_measure: 0.3992, kappa: -0.3615, kb_relative_information_score: -6745.2707, mean_absolute_error: 0.6008, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3993, predictive_accuracy: 0.3992, prior_entropy: 0.9135, recall: 0.3992, relative_absolute_error: 1.3615, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7751, root_relative_squared_error: 1.6502,

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