OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 27566.375, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4343, f_measure: 0.3656, kappa: 0, kb_relative_information_score: -115.706, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5937, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7182, kappa: 0.4343, kb_relative_information_score: 23254.0538, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7078, kappa: 0.4135, kb_relative_information_score: 27486.6742, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.7079, prior_entropy: 0.9976, recall: 0.7079, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7219, kappa: 0.4419, kb_relative_information_score: 25452.3712, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7208, kappa: 0.4398, kb_relative_information_score: 26828.2751, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.6906, kappa: 0.3787, kb_relative_information_score: -423.8719, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6906, predictive_accuracy: 0.691, prior_entropy: 0.9976, recall: 0.691, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7203, kappa: 0.4387, kb_relative_information_score: 26945.209, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26912.4639, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7203, kappa: 0.4387, kb_relative_information_score: 27773.3319, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.693, kappa: 0.3836, kb_relative_information_score: 526.8865, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6929, predictive_accuracy: 0.6932, prior_entropy: 0.9976, recall: 0.6932, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6927, kappa: 0.3829, kb_relative_information_score: 30.1573, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6928, predictive_accuracy: 0.6932, prior_entropy: 0.9976, recall: 0.6932, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 27387.508, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 25894.6657, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7187, kappa: 0.4355, kb_relative_information_score: 26810.4866, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6651, kappa: 0.3276, kb_relative_information_score: 6237.8412, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.665, predictive_accuracy: 0.6654, prior_entropy: 0.9976, recall: 0.6654, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7216, kappa: 0.4413, kb_relative_information_score: 26044.5564, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6898, kappa: 0.3779, kb_relative_information_score: 3532.8435, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9976, recall: 0.6897, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6625, kappa: 0.3241, kb_relative_information_score: -265.6587, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6635, predictive_accuracy: 0.6623, prior_entropy: 0.9976, recall: 0.6623, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7179, kappa: 0.4335, kb_relative_information_score: 22806.9591, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.7182, prior_entropy: 0.9976, recall: 0.7182, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7185, kappa: 0.4352, kb_relative_information_score: 26698.0827, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6738, kappa: 0.3453, kb_relative_information_score: 4275.1975, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6755, predictive_accuracy: 0.6756, prior_entropy: 0.9976, recall: 0.6756, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7194, kappa: 0.4367, kb_relative_information_score: 23883.2082, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7226, kappa: 0.4431, kb_relative_information_score: 26081.9679, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 26753.5043, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.718, kappa: 0.4341, kb_relative_information_score: 27582.5945, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.718, predictive_accuracy: 0.7181, prior_entropy: 0.9976, recall: 0.7181, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 26312.7, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6887, kappa: 0.3752, kb_relative_information_score: 3423.1263, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6887, predictive_accuracy: 0.6889, prior_entropy: 0.9976, recall: 0.6889, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7223, kappa: 0.4426, kb_relative_information_score: 25431.4825, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7224, prior_entropy: 0.9976, recall: 0.7224, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7196, kappa: 0.4369, kb_relative_information_score: 23263.4767, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26351.3417, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7201, kappa: 0.4384, kb_relative_information_score: 26271.849, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6148, kappa: 0.2907, kb_relative_information_score: 54.8264, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6991, predictive_accuracy: 0.6358, prior_entropy: 0.9976, recall: 0.6358, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6359, kappa: 0.2715, kb_relative_information_score: 11363.1316, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6415, predictive_accuracy: 0.6407, prior_entropy: 0.9976, recall: 0.6407, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 26773.7498, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7173, kappa: 0.4326, kb_relative_information_score: 27882.29, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7173, prior_entropy: 0.9976, recall: 0.7173, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 25793.2343, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.722, kappa: 0.4421, kb_relative_information_score: 26126.1705, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 25366.3672, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7196, kappa: 0.4375, kb_relative_information_score: 26687.3922, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.6832, kappa: 0.3657, kb_relative_information_score: 4276.1758, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6845, predictive_accuracy: 0.6829, prior_entropy: 0.9976, recall: 0.6829, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6288, kappa: 0.2569, kb_relative_information_score: 10497.1548, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6335, predictive_accuracy: 0.6332, prior_entropy: 0.9976, recall: 0.6332, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.716, kappa: 0.4296, kb_relative_information_score: 21358.5169, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7162, predictive_accuracy: 0.7165, prior_entropy: 0.9976, recall: 0.7165, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6994, kappa: 0.3965, kb_relative_information_score: 1102.6058, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6993, predictive_accuracy: 0.6996, prior_entropy: 0.9976, recall: 0.6996, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.3786, kappa: 0.0092, kb_relative_information_score: 184.0233, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.615, predictive_accuracy: 0.5324, prior_entropy: 0.9976, recall: 0.5324, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9991,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7149, kappa: 0.4275, kb_relative_information_score: 21197.2919, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7152, predictive_accuracy: 0.7154, prior_entropy: 0.9976, recall: 0.7154, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7186, kappa: 0.4354, kb_relative_information_score: 26582.5592, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8589,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.692, kappa: 0.3818, kb_relative_information_score: 1198.6646, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.692, predictive_accuracy: 0.6922, prior_entropy: 0.9976, recall: 0.6922, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7091, kappa: 0.416, kb_relative_information_score: 3820.6056, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.709, predictive_accuracy: 0.7093, prior_entropy: 0.9976, recall: 0.7093, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7172, kappa: 0.4324, kb_relative_information_score: 27411.3228, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7171, predictive_accuracy: 0.7172, prior_entropy: 0.9976, recall: 0.7172, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7213, kappa: 0.4405, kb_relative_information_score: 25481.2371, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6159, kappa: 0.2291, kb_relative_information_score: 3238.634, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6158, predictive_accuracy: 0.616, prior_entropy: 0.9976, recall: 0.616, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7183, kappa: 0.4347, kb_relative_information_score: 26499.1574, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8606,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7218, kappa: 0.4416, kb_relative_information_score: 27199.8459, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8551,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7193, kappa: 0.4368, kb_relative_information_score: 26351.9001, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6652, kappa: 0.3294, kb_relative_information_score: 16546.8405, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6702, predictive_accuracy: 0.6688, prior_entropy: 0.9976, recall: 0.6688, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7114, kappa: 0.4205, kb_relative_information_score: 18767.6718, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7122, predictive_accuracy: 0.7124, prior_entropy: 0.9976, recall: 0.7124, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 25986.4008, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7192, kappa: 0.4366, kb_relative_information_score: 26976.1787, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7175, kappa: 0.4331, kb_relative_information_score: 27523.0594, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7175, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6464, kappa: 0.2914, kb_relative_information_score: 13336.6569, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6504, predictive_accuracy: 0.6499, prior_entropy: 0.9976, recall: 0.6499, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.366, kappa: -0, kb_relative_information_score: 6.7818, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4929, predictive_accuracy: 0.5285, prior_entropy: 0.9976, recall: 0.5285, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6333, kappa: 0.2688, kb_relative_information_score: 1943.9058, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6428, predictive_accuracy: 0.6402, prior_entropy: 0.9976, recall: 0.6402, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7197, kappa: 0.4373, kb_relative_information_score: 2480.8668, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7134, kappa: 0.4246, kb_relative_information_score: 3071.6295, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7133, predictive_accuracy: 0.7136, prior_entropy: 0.9976, recall: 0.7136, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9772,

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