OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 13505 runs submitted
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13505 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6548, kappa: 0.3074, kb_relative_information_score: 26020.9711, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6548, predictive_accuracy: 0.6548, prior_entropy: 0.9976, recall: 0.6548, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6596, kappa: 0.3172, kb_relative_information_score: 25889.7236, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6597, predictive_accuracy: 0.6596, prior_entropy: 0.9976, recall: 0.6596, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6351, kappa: 0.2686, kb_relative_information_score: 25805.2261, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6356, predictive_accuracy: 0.6348, prior_entropy: 0.9976, recall: 0.6348, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6597, kappa: 0.3173, kb_relative_information_score: 25857.7418, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6597, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6504, kappa: 0.2986, kb_relative_information_score: 26012.5482, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6504, predictive_accuracy: 0.6504, prior_entropy: 0.9976, recall: 0.6504, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6618, kappa: 0.3216, kb_relative_information_score: 25872.755, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6619, predictive_accuracy: 0.6618, prior_entropy: 0.9976, recall: 0.6618, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6556, kappa: 0.309, kb_relative_information_score: 25944.1526, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6556, predictive_accuracy: 0.6556, prior_entropy: 0.9976, recall: 0.6556, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6404, kappa: 0.2789, kb_relative_information_score: 26010.4628, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6407, predictive_accuracy: 0.6403, prior_entropy: 0.9976, recall: 0.6403, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6424, kappa: 0.2828, kb_relative_information_score: 25855.0669, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6426, predictive_accuracy: 0.6422, prior_entropy: 0.9976, recall: 0.6422, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6361, kappa: 0.2706, kb_relative_information_score: 25943.06, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6366, predictive_accuracy: 0.6358, prior_entropy: 0.9976, recall: 0.6358, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6565, kappa: 0.3108, kb_relative_information_score: 26068.7444, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6566, predictive_accuracy: 0.6565, prior_entropy: 0.9976, recall: 0.6565, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.625, kappa: 0.2483, kb_relative_information_score: 24404.5202, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6255, predictive_accuracy: 0.6248, prior_entropy: 0.9976, recall: 0.6248, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5843, root_relative_squared_error: 1.1706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.639, kappa: 0.2761, kb_relative_information_score: 25662.8451, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6393, predictive_accuracy: 0.6389, prior_entropy: 0.9976, recall: 0.6389, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6258, kappa: 0.2499, kb_relative_information_score: 24506.9975, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6263, predictive_accuracy: 0.6256, prior_entropy: 0.9976, recall: 0.6256, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.6445, kappa: 0.2871, kb_relative_information_score: 25751.3974, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6447, predictive_accuracy: 0.6444, prior_entropy: 0.9976, recall: 0.6444, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6373, kappa: 0.2729, kb_relative_information_score: 25834.2111, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6377, predictive_accuracy: 0.6371, prior_entropy: 0.9976, recall: 0.6371, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.6412, kappa: 0.2809, kb_relative_information_score: 25467.5926, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.641, prior_entropy: 0.9976, recall: 0.641, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6245, kappa: 0.2472, kb_relative_information_score: 24328.7735, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6249, predictive_accuracy: 0.6242, prior_entropy: 0.9976, recall: 0.6242, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.1561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6286, kappa: 0.2553, kb_relative_information_score: 24846.7514, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6289, predictive_accuracy: 0.6284, prior_entropy: 0.9976, recall: 0.6284, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6418, kappa: 0.282, kb_relative_information_score: 25535.1941, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6423, predictive_accuracy: 0.6416, prior_entropy: 0.9976, recall: 0.6416, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6559, kappa: 0.3096, kb_relative_information_score: 26128.7242, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6559, predictive_accuracy: 0.6559, prior_entropy: 0.9976, recall: 0.6559, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.6568, kappa: 0.3115, kb_relative_information_score: 26109.2326, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6569, predictive_accuracy: 0.6568, prior_entropy: 0.9976, recall: 0.6568, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6525, kappa: 0.3029, kb_relative_information_score: 25746.0449, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6526, predictive_accuracy: 0.6524, prior_entropy: 0.9976, recall: 0.6524, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6531, kappa: 0.3042, kb_relative_information_score: 25820.4386, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6532, predictive_accuracy: 0.653, prior_entropy: 0.9976, recall: 0.653, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6521, kappa: 0.3019, kb_relative_information_score: 25980.0066, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6521, predictive_accuracy: 0.6521, prior_entropy: 0.9976, recall: 0.6521, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6291, kappa: 0.2563, kb_relative_information_score: 24925.8241, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6294, predictive_accuracy: 0.6289, prior_entropy: 0.9976, recall: 0.6289, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6457, kappa: 0.2896, kb_relative_information_score: 25663.9284, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6461, predictive_accuracy: 0.6455, prior_entropy: 0.9976, recall: 0.6455, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6513, kappa: 0.3005, kb_relative_information_score: 25775.7533, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6514, predictive_accuracy: 0.6512, prior_entropy: 0.9976, recall: 0.6512, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6528, kappa: 0.3035, kb_relative_information_score: 25752.8614, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6529, predictive_accuracy: 0.6526, prior_entropy: 0.9976, recall: 0.6526, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6379, kappa: 0.2739, kb_relative_information_score: 25908.598, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6382, predictive_accuracy: 0.6378, prior_entropy: 0.9976, recall: 0.6378, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.547, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6616, kappa: 0.3211, kb_relative_information_score: 25873.5039, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6616, predictive_accuracy: 0.6615, prior_entropy: 0.9976, recall: 0.6615, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6616, kappa: 0.3211, kb_relative_information_score: 25870.6939, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6617, predictive_accuracy: 0.6616, prior_entropy: 0.9976, recall: 0.6616, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.652, kappa: 0.3018, kb_relative_information_score: 25938.228, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.652, predictive_accuracy: 0.652, prior_entropy: 0.9976, recall: 0.652, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6379, kappa: 0.2742, kb_relative_information_score: 25756.7082, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6384, predictive_accuracy: 0.6377, prior_entropy: 0.9976, recall: 0.6377, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6436, kappa: 0.285, kb_relative_information_score: 25854.5989, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6437, predictive_accuracy: 0.6436, prior_entropy: 0.9976, recall: 0.6436, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6348, kappa: 0.2683, kb_relative_information_score: 25113.0971, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6355, predictive_accuracy: 0.6346, prior_entropy: 0.9976, recall: 0.6346, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6284, kappa: 0.256, kb_relative_information_score: 24931.5432, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6296, predictive_accuracy: 0.6281, prior_entropy: 0.9976, recall: 0.6281, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6616, kappa: 0.3211, kb_relative_information_score: 25869.9129, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6617, predictive_accuracy: 0.6616, prior_entropy: 0.9976, recall: 0.6616, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.6498, kappa: 0.2976, kb_relative_information_score: 25956.7432, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.65, predictive_accuracy: 0.6498, prior_entropy: 0.9976, recall: 0.6498, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.653, kappa: 0.3038, kb_relative_information_score: 26019.8932, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.653, predictive_accuracy: 0.6531, prior_entropy: 0.9976, recall: 0.6531, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.634, kappa: 0.266, kb_relative_information_score: 25814.1209, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6342, predictive_accuracy: 0.6339, prior_entropy: 0.9976, recall: 0.6339, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5782, root_relative_squared_error: 1.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6555, kappa: 0.3088, kb_relative_information_score: 26076.9299, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6555, predictive_accuracy: 0.6555, prior_entropy: 0.9976, recall: 0.6555, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6615, kappa: 0.3209, kb_relative_information_score: 25853.6225, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6616, predictive_accuracy: 0.6615, prior_entropy: 0.9976, recall: 0.6615, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.6468, kappa: 0.2913, kb_relative_information_score: 25843.9211, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6468, predictive_accuracy: 0.6468, prior_entropy: 0.9976, recall: 0.6468, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6555, kappa: 0.3087, kb_relative_information_score: 26066.5003, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6555, predictive_accuracy: 0.6555, prior_entropy: 0.9976, recall: 0.6555, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6413, kappa: 0.2806, kb_relative_information_score: 25740.9808, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6415, predictive_accuracy: 0.6411, prior_entropy: 0.9976, recall: 0.6411, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6448, kappa: 0.2877, kb_relative_information_score: 25735.9312, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6451, predictive_accuracy: 0.6447, prior_entropy: 0.9976, recall: 0.6447, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6567, kappa: 0.3113, kb_relative_information_score: 26100.9296, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6568, predictive_accuracy: 0.6567, prior_entropy: 0.9976, recall: 0.6567, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6494, kappa: 0.297, kb_relative_information_score: 25735.1024, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6497, predictive_accuracy: 0.6492, prior_entropy: 0.9976, recall: 0.6492, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6598, kappa: 0.3175, kb_relative_information_score: 25845.8946, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6598, predictive_accuracy: 0.6598, prior_entropy: 0.9976, recall: 0.6598, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6577, kappa: 0.3131, kb_relative_information_score: 25898.125, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 0.9976, recall: 0.6577, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6253, kappa: 0.2484, kb_relative_information_score: 24227.4878, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6254, predictive_accuracy: 0.6252, prior_entropy: 0.9976, recall: 0.6252, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.61, root_relative_squared_error: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.6493, kappa: 0.2965, kb_relative_information_score: 25916.2674, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6494, predictive_accuracy: 0.6492, prior_entropy: 0.9976, recall: 0.6492, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6531, kappa: 0.3042, kb_relative_information_score: 25800.7026, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6532, predictive_accuracy: 0.653, prior_entropy: 0.9976, recall: 0.653, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.653, kappa: 0.304, kb_relative_information_score: 25799.179, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6532, predictive_accuracy: 0.6529, prior_entropy: 0.9976, recall: 0.6529, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6304, kappa: 0.2593, kb_relative_information_score: 24717.574, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.631, predictive_accuracy: 0.6302, prior_entropy: 0.9976, recall: 0.6302, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.1043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6325, kappa: 0.2636, kb_relative_information_score: 25761.3743, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6331, predictive_accuracy: 0.6323, prior_entropy: 0.9976, recall: 0.6323, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6336, kappa: 0.2653, kb_relative_information_score: 25734.9941, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6339, predictive_accuracy: 0.6334, prior_entropy: 0.9976, recall: 0.6334, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6517, kappa: 0.3012, kb_relative_information_score: 26004.2591, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6517, predictive_accuracy: 0.6516, prior_entropy: 0.9976, recall: 0.6516, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9912,

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