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: 0.766, f_measure: 0.6961, kappa: 0.3907, kb_relative_information_score: 2029.2564, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6964, predictive_accuracy: 0.6959, prior_entropy: 0.9976, recall: 0.6959, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6445, kappa: 0.2885, kb_relative_information_score: 1520.4451, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6499, predictive_accuracy: 0.6489, prior_entropy: 0.9976, recall: 0.6489, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7161, kappa: 0.4301, kb_relative_information_score: 1190.3988, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7163, prior_entropy: 0.9976, recall: 0.7163, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6662, kappa: 0.33, kb_relative_information_score: 7077.2597, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6661, predictive_accuracy: 0.6662, prior_entropy: 0.9976, recall: 0.6662, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3656, kappa: 0, kb_relative_information_score: 0.5804, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7508, 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: 0.8009, f_measure: 0.7215, kappa: 0.441, kb_relative_information_score: 26406.3302, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.6966, kappa: 0.391, kb_relative_information_score: 16405.9768, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6965, predictive_accuracy: 0.6968, prior_entropy: 0.9976, recall: 0.6968, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7138, kappa: 0.4253, kb_relative_information_score: 9061.2875, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7137, predictive_accuracy: 0.714, prior_entropy: 0.9976, recall: 0.714, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6435, kappa: 0.2842, kb_relative_information_score: 3822.1677, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6434, predictive_accuracy: 0.6438, prior_entropy: 0.9976, recall: 0.6438, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6991, kappa: 0.396, kb_relative_information_score: 2564.2113, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.699, predictive_accuracy: 0.6992, prior_entropy: 0.9976, recall: 0.6992, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7069, kappa: 0.4115, kb_relative_information_score: 998.6246, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.707, predictive_accuracy: 0.7073, prior_entropy: 0.9976, recall: 0.7073, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7155, kappa: 0.4286, kb_relative_information_score: 20992.5261, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9976, recall: 0.716, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 26351.7794, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7211, kappa: 0.4401, kb_relative_information_score: 24822.5157, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7124, kappa: 0.4226, kb_relative_information_score: 4041.5722, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7123, predictive_accuracy: 0.7126, prior_entropy: 0.9976, recall: 0.7126, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7214, kappa: 0.4407, kb_relative_information_score: 26691.6027, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6524, kappa: 0.3057, kb_relative_information_score: 2702.0856, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6606, predictive_accuracy: 0.658, prior_entropy: 0.9976, recall: 0.658, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.6586, kappa: 0.3158, kb_relative_information_score: 15027.2709, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6625, predictive_accuracy: 0.6618, prior_entropy: 0.9976, recall: 0.6618, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7183, kappa: 0.4347, kb_relative_information_score: 27553.2843, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.3663, kappa: 0.0004, kb_relative_information_score: 4.0318, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5689, predictive_accuracy: 0.5287, prior_entropy: 0.9976, recall: 0.5287, 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: 0.7966, f_measure: 0.7223, kappa: 0.4424, kb_relative_information_score: 8051.1093, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6688, kappa: 0.3377, kb_relative_information_score: 1479.2127, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6763, predictive_accuracy: 0.6735, prior_entropy: 0.9976, recall: 0.6735, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.6521, kappa: 0.3013, kb_relative_information_score: 14584.0443, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6525, predictive_accuracy: 0.6532, prior_entropy: 0.9976, recall: 0.6532, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.706, kappa: 0.4096, kb_relative_information_score: 1167.6934, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.706, predictive_accuracy: 0.7064, prior_entropy: 0.9976, recall: 0.7064, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7219, kappa: 0.4415, kb_relative_information_score: 24424.7999, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7196, kappa: 0.4372, kb_relative_information_score: 24561.7553, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 26074.4291, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.763, 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: 0.7935, f_measure: 0.7152, kappa: 0.4281, kb_relative_information_score: 21057.7593, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7157, prior_entropy: 0.9976, recall: 0.7157, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7116, kappa: 0.421, kb_relative_information_score: 2947.1972, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7116, predictive_accuracy: 0.7118, prior_entropy: 0.9976, recall: 0.7118, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7208, kappa: 0.4396, kb_relative_information_score: 26221.3203, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7614, 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: 0.7572, f_measure: 0.6854, kappa: 0.3683, kb_relative_information_score: 499.2296, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6857, predictive_accuracy: 0.6861, prior_entropy: 0.9976, recall: 0.6861, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6786, kappa: 0.3547, kb_relative_information_score: 3841.1583, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6799, predictive_accuracy: 0.6801, prior_entropy: 0.9976, recall: 0.6801, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7104, kappa: 0.4187, kb_relative_information_score: 27807.2081, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7103, predictive_accuracy: 0.7105, prior_entropy: 0.9976, recall: 0.7105, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7226, kappa: 0.4433, kb_relative_information_score: 27125.8776, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7226, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 27381.3041, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7213, kappa: 0.4408, kb_relative_information_score: 27411.303, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 27573.8585, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7211, kappa: 0.4402, kb_relative_information_score: 27660.3938, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7219, kappa: 0.4418, kb_relative_information_score: 25869.2797, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7655, 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: 0.7978, f_measure: 0.719, kappa: 0.4361, kb_relative_information_score: 26470.653, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.713, kappa: 0.424, kb_relative_information_score: 27611.7671, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.713, predictive_accuracy: 0.7131, prior_entropy: 0.9976, recall: 0.7131, relative_absolute_error: 0.7433, 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: 0.791, f_measure: 0.7176, kappa: 0.433, kb_relative_information_score: 4414.4452, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7177, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26773.9278, mean_absolute_error: 0.3761, 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: 0.7547, 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: 0.7996, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 25383.5559, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7172, kappa: 0.4321, kb_relative_information_score: 22615.0619, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7175, prior_entropy: 0.9976, recall: 0.7175, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4479, kappa: -0.01, kb_relative_information_score: -98.2458, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4928, predictive_accuracy: 0.515, prior_entropy: 0.9976, recall: 0.515, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, 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: 0.5403, f_measure: 0.3849, kappa: 0.0166, kb_relative_information_score: 161.2508, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6664, predictive_accuracy: 0.5358, prior_entropy: 0.9976, recall: 0.5358, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.6317, kappa: 0.2608, kb_relative_information_score: 1349.9045, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6316, predictive_accuracy: 0.6317, prior_entropy: 0.9976, recall: 0.6317, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7212, kappa: 0.4402, kb_relative_information_score: 25448.9502, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7701, 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: 0.7868, f_measure: 0.7114, kappa: 0.4208, kb_relative_information_score: 4413.8162, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9976, recall: 0.7115, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6276, kappa: 0.3052, kb_relative_information_score: 150.4065, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6976, predictive_accuracy: 0.6441, prior_entropy: 0.9976, recall: 0.6441, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.4083, kappa: 0.0277, kb_relative_information_score: 414.651, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5945, predictive_accuracy: 0.5397, prior_entropy: 0.9976, recall: 0.5397, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7117, kappa: 0.4213, kb_relative_information_score: 27687.5388, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7116, predictive_accuracy: 0.7118, prior_entropy: 0.9976, recall: 0.7118, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6617, kappa: 0.3242, kb_relative_information_score: 2026.1725, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6701, predictive_accuracy: 0.6671, prior_entropy: 0.9976, recall: 0.6671, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7199, kappa: 0.4378, kb_relative_information_score: 27370.0729, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7209, kappa: 0.4396, kb_relative_information_score: 25039.4035, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7223, kappa: 0.4425, kb_relative_information_score: 6381.7863, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7226, prior_entropy: 0.9976, recall: 0.7226, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.671, kappa: 0.3417, kb_relative_information_score: 1339.048, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6777, predictive_accuracy: 0.6753, prior_entropy: 0.9976, recall: 0.6753, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6192, kappa: 0.2396, kb_relative_information_score: 10352.9467, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6265, predictive_accuracy: 0.6255, prior_entropy: 0.9976, recall: 0.6255, relative_absolute_error: 0.9109, 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: 0.7118, f_measure: 0.6559, kappa: 0.3225, kb_relative_information_score: 580.4408, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6707, predictive_accuracy: 0.658, prior_entropy: 0.9976, recall: 0.658, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26387.104, mean_absolute_error: 0.3784, 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: 0.7593, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 26701.1481, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7227, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 25762.8471, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7127, kappa: 0.4233, kb_relative_information_score: 9353.9437, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7127, predictive_accuracy: 0.713, prior_entropy: 0.9976, recall: 0.713, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7199, kappa: 0.4377, kb_relative_information_score: 24170.1044, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7201, kappa: 0.438, kb_relative_information_score: 4832.3653, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7179, kappa: 0.4336, kb_relative_information_score: 23182.7435, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7178, predictive_accuracy: 0.7181, prior_entropy: 0.9976, recall: 0.7181, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6198, kappa: 0.2384, kb_relative_information_score: 10109.8401, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6234, predictive_accuracy: 0.6238, prior_entropy: 0.9976, recall: 0.6238, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6709, kappa: 0.3395, kb_relative_information_score: 4634.5466, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6728, predictive_accuracy: 0.6728, prior_entropy: 0.9976, recall: 0.6728, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7128, kappa: 0.4234, kb_relative_information_score: 1181.2335, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7127, predictive_accuracy: 0.713, prior_entropy: 0.9976, recall: 0.713, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6513, kappa: 0.3018, kb_relative_information_score: 14483.5335, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6564, predictive_accuracy: 0.6553, prior_entropy: 0.9976, recall: 0.6553, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6378, kappa: 0.2757, kb_relative_information_score: 11480.6591, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.644, predictive_accuracy: 0.6428, prior_entropy: 0.9976, recall: 0.6428, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6289, kappa: 0.2558, kb_relative_information_score: 1036.0158, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6313, predictive_accuracy: 0.6319, prior_entropy: 0.9976, recall: 0.6319, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7068, kappa: 0.4115, kb_relative_information_score: 27540.4932, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7068, predictive_accuracy: 0.707, prior_entropy: 0.9976, recall: 0.707, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6277, kappa: 0.2526, kb_relative_information_score: 5366.0339, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6276, predictive_accuracy: 0.628, prior_entropy: 0.9976, recall: 0.628, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7218, kappa: 0.4416, kb_relative_information_score: 9172.4711, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7071, kappa: 0.4122, kb_relative_information_score: 16281.758, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7071, predictive_accuracy: 0.7073, prior_entropy: 0.9976, recall: 0.7073, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7208, kappa: 0.4394, kb_relative_information_score: 7254.2512, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7164, kappa: 0.4306, kb_relative_information_score: 22791.9456, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7165, predictive_accuracy: 0.7168, prior_entropy: 0.9976, recall: 0.7168, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6092, kappa: 0.2169, kb_relative_information_score: 8708.4334, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.6131, prior_entropy: 0.9976, recall: 0.6131, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7076, kappa: 0.4129, kb_relative_information_score: 915.0477, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.708, prior_entropy: 0.9976, recall: 0.708, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7203, kappa: 0.4388, kb_relative_information_score: 26970.7994, mean_absolute_error: 0.3751, 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: 0.7527, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.72, kappa: 0.4379, kb_relative_information_score: 24362.644, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7227, kappa: 0.4434, kb_relative_information_score: 26675.5581, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7226, predictive_accuracy: 0.7228, prior_entropy: 0.9976, recall: 0.7228, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6328, kappa: 0.2651, kb_relative_information_score: 11832.9159, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6379, predictive_accuracy: 0.6374, prior_entropy: 0.9976, recall: 0.6374, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7191, kappa: 0.4361, kb_relative_information_score: 23640.1794, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7894, 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: 0.8005, f_measure: 0.7206, kappa: 0.4394, kb_relative_information_score: 26742.3669, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7555, 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: 0.8013, f_measure: 0.7214, kappa: 0.4409, kb_relative_information_score: 26473.4183, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7209, kappa: 0.4396, kb_relative_information_score: 7301.2054, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7174, kappa: 0.4328, kb_relative_information_score: 26138.756, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7173, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7184, kappa: 0.4346, kb_relative_information_score: 22767.7835, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6688, kappa: 0.3352, kb_relative_information_score: 7269.0705, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6687, predictive_accuracy: 0.6689, prior_entropy: 0.9976, recall: 0.6689, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7211, kappa: 0.44, kb_relative_information_score: 24229.7534, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7204, kappa: 0.439, kb_relative_information_score: 26487.4276, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.758, 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: 0.7978, f_measure: 0.7188, kappa: 0.4356, kb_relative_information_score: 26794.9957, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7543, 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: 0.7954, f_measure: 0.7174, kappa: 0.4329, kb_relative_information_score: 27262.3735, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7174, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7202, kappa: 0.4386, kb_relative_information_score: 27407.5477, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6666, kappa: 0.3305, kb_relative_information_score: 602.8156, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6667, predictive_accuracy: 0.6672, prior_entropy: 0.9976, recall: 0.6672, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 26012.382, mean_absolute_error: 0.38, 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: 0.7624, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8606,

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