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: 0.7112, f_measure: 0.6704, kappa: 0.3385, kb_relative_information_score: 4311.9116, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6704, predictive_accuracy: 0.6706, prior_entropy: 0.9976, recall: 0.6706, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26788.0848, mean_absolute_error: 0.376, 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: 0.7544, 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: 0.7747, f_measure: 0.7009, kappa: 0.3995, kb_relative_information_score: 699.7463, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7008, predictive_accuracy: 0.701, prior_entropy: 0.9976, recall: 0.701, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.652, kappa: 0.3012, kb_relative_information_score: 4151.0967, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.652, predictive_accuracy: 0.6525, prior_entropy: 0.9976, recall: 0.6525, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.722, kappa: 0.442, kb_relative_information_score: 5978.613, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 27353.0973, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7484, 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: 0.7981, f_measure: 0.7191, kappa: 0.4364, kb_relative_information_score: 26490.4288, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7578, 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: 0.7938, f_measure: 0.7166, kappa: 0.4312, kb_relative_information_score: 27763.9176, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7166, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7105, kappa: 0.4186, kb_relative_information_score: 18408.2615, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7113, prior_entropy: 0.9976, recall: 0.7113, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6597, kappa: 0.3172, kb_relative_information_score: 5766.1765, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6617, predictive_accuracy: 0.6618, prior_entropy: 0.9976, recall: 0.6618, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7145, kappa: 0.4271, kb_relative_information_score: 27300.8315, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7145, predictive_accuracy: 0.7146, prior_entropy: 0.9976, recall: 0.7146, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 27413.117, 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: 0.4266, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.3667, kappa: 0.0004, kb_relative_information_score: 10.5293, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5469, predictive_accuracy: 0.5287, prior_entropy: 0.9976, recall: 0.5287, relative_absolute_error: 0.9999, 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: 0.4929, f_measure: 0.4326, kappa: -0.0101, kb_relative_information_score: -133.5813, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4905, predictive_accuracy: 0.517, prior_entropy: 0.9976, recall: 0.517, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7151, kappa: 0.4278, kb_relative_information_score: 20604.4314, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7153, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7208, kappa: 0.4398, kb_relative_information_score: 26738.431, mean_absolute_error: 0.3765, 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: 0.7554, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7165, kappa: 0.4311, kb_relative_information_score: 27344.6088, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7165, predictive_accuracy: 0.7165, prior_entropy: 0.9976, recall: 0.7165, relative_absolute_error: 0.7475, 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: 0.7248, f_measure: 0.6741, kappa: 0.3458, kb_relative_information_score: 194.4714, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.674, predictive_accuracy: 0.6742, prior_entropy: 0.9976, recall: 0.6742, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7196, kappa: 0.4372, kb_relative_information_score: 27902.7701, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7211, kappa: 0.4402, kb_relative_information_score: 26260.4151, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 26951.8899, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6774, kappa: 0.3525, kb_relative_information_score: -193.7783, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6774, predictive_accuracy: 0.6776, prior_entropy: 0.9976, recall: 0.6776, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.5298, kappa: 0.0613, kb_relative_information_score: 1487.8329, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5336, predictive_accuracy: 0.5378, prior_entropy: 0.9976, recall: 0.5378, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6409, kappa: 0.2791, kb_relative_information_score: 4131.7482, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6408, predictive_accuracy: 0.6412, prior_entropy: 0.9976, recall: 0.6412, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6744, kappa: 0.3468, kb_relative_information_score: 157.803, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6745, predictive_accuracy: 0.6743, prior_entropy: 0.9976, recall: 0.6743, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.705, kappa: 0.4077, kb_relative_information_score: 2123.0212, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.705, predictive_accuracy: 0.7053, prior_entropy: 0.9976, recall: 0.7053, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26683.8639, mean_absolute_error: 0.3765, 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: 0.7555, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3732, kappa: 0.0005, kb_relative_information_score: -17.8982, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5073, predictive_accuracy: 0.5283, prior_entropy: 0.9976, recall: 0.5283, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7206, kappa: 0.4391, kb_relative_information_score: 24932.1474, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26527.6264, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7575, 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: 0.7079, f_measure: 0.6434, kappa: 0.2957, kb_relative_information_score: 14465.6471, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.655, predictive_accuracy: 0.645, prior_entropy: 0.9976, recall: 0.645, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7211, kappa: 0.4401, kb_relative_information_score: 24804.5064, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.711, kappa: 0.4198, kb_relative_information_score: 6471.2924, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7109, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6948, kappa: 0.3876, kb_relative_information_score: 2234.9632, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6948, predictive_accuracy: 0.6948, prior_entropy: 0.9976, recall: 0.6948, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.679, kappa: 0.3553, kb_relative_information_score: 19.9994, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6791, predictive_accuracy: 0.6795, prior_entropy: 0.9976, recall: 0.6795, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 26454.4377, mean_absolute_error: 0.378, 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: 0.7585, 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: 0.7282, f_measure: 0.6689, kappa: 0.3364, kb_relative_information_score: 17149.1383, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.673, predictive_accuracy: 0.672, prior_entropy: 0.9976, recall: 0.672, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7107, kappa: 0.4191, kb_relative_information_score: 2550.8511, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7107, predictive_accuracy: 0.711, prior_entropy: 0.9976, recall: 0.711, 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: 0.6719, f_measure: 0.629, kappa: 0.2572, kb_relative_information_score: 11093.4157, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6334, predictive_accuracy: 0.6333, prior_entropy: 0.9976, recall: 0.6333, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7203, kappa: 0.4387, kb_relative_information_score: 26251.4489, mean_absolute_error: 0.3791, 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: 0.7608, 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: 0.7863, f_measure: 0.7092, kappa: 0.4164, kb_relative_information_score: 27652.6075, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7092, predictive_accuracy: 0.7093, prior_entropy: 0.9976, recall: 0.7093, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7186, kappa: 0.4351, kb_relative_information_score: 6689.2566, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7007, kappa: 0.3993, kb_relative_information_score: 1811.0427, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7007, predictive_accuracy: 0.7009, prior_entropy: 0.9976, recall: 0.7009, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.6944, kappa: 0.3867, kb_relative_information_score: 6291.9847, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6944, predictive_accuracy: 0.6946, prior_entropy: 0.9976, recall: 0.6946, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6368, kappa: 0.2709, kb_relative_information_score: 2241.7291, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6367, predictive_accuracy: 0.6369, prior_entropy: 0.9976, recall: 0.6369, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7167, kappa: 0.4314, kb_relative_information_score: 10002.8922, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7167, predictive_accuracy: 0.7169, prior_entropy: 0.9976, recall: 0.7169, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7188, kappa: 0.4354, kb_relative_information_score: 23799.9986, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6458, kappa: 0.289, kb_relative_information_score: 1118.9517, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6457, predictive_accuracy: 0.6459, prior_entropy: 0.9976, recall: 0.6459, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.3658, kappa: -0, kb_relative_information_score: 8.6385, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.497, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, 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: 0.7143, f_measure: 0.6593, kappa: 0.3174, kb_relative_information_score: 15267.6914, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6637, predictive_accuracy: 0.6628, prior_entropy: 0.9976, recall: 0.6628, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26065.1322, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7628, 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: 0.3872, kb_relative_information_score: -88.2874, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7218, kappa: 0.4416, kb_relative_information_score: 26749.4249, mean_absolute_error: 0.3767, 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: 0.7558, 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: 0.6733, f_measure: 0.6281, kappa: 0.2549, kb_relative_information_score: 11285.2984, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6318, predictive_accuracy: 0.6319, prior_entropy: 0.9976, recall: 0.6319, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6071, kappa: 0.213, kb_relative_information_score: 6144.9478, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6105, predictive_accuracy: 0.6113, prior_entropy: 0.9976, recall: 0.6113, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7204, kappa: 0.439, kb_relative_information_score: 26310.489, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.76, 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: 0.8017, f_measure: 0.7225, kappa: 0.4429, kb_relative_information_score: 26728.3082, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.3876, kappa: 0.0159, kb_relative_information_score: 209.258, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6171, predictive_accuracy: 0.5352, prior_entropy: 0.9976, recall: 0.5352, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7177, kappa: 0.4335, kb_relative_information_score: 27667.3889, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7177, predictive_accuracy: 0.7177, prior_entropy: 0.9976, recall: 0.7177, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.5919, kappa: 0.1806, kb_relative_information_score: 6897.9133, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5918, predictive_accuracy: 0.5926, prior_entropy: 0.9976, recall: 0.5926, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7188, kappa: 0.4354, kb_relative_information_score: 23983.6416, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.6429, kappa: 0.2829, kb_relative_information_score: 968.6269, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6428, predictive_accuracy: 0.6434, prior_entropy: 0.9976, recall: 0.6434, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7163, kappa: 0.4302, kb_relative_information_score: 21515.3682, mean_absolute_error: 0.4044, 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: 0.8114, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.716, kappa: 0.4301, kb_relative_information_score: 27729.4299, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.716, predictive_accuracy: 0.7161, prior_entropy: 0.9976, recall: 0.7161, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6893, kappa: 0.3763, kb_relative_information_score: 6446.7671, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6892, predictive_accuracy: 0.6895, prior_entropy: 0.9976, recall: 0.6895, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7201, kappa: 0.4381, kb_relative_information_score: 24721.3773, mean_absolute_error: 0.3876, 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: 0.7777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.6932, kappa: 0.384, kb_relative_information_score: -25.8793, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6933, predictive_accuracy: 0.6937, prior_entropy: 0.9976, recall: 0.6937, relative_absolute_error: 1.0001, 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: 0.7019, f_measure: 0.6589, kappa: 0.3153, kb_relative_information_score: 70.3673, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6588, predictive_accuracy: 0.659, prior_entropy: 0.9976, recall: 0.659, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7189, kappa: 0.4357, kb_relative_information_score: 2750.2364, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7176, kappa: 0.4331, kb_relative_information_score: 3499.6875, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7178, prior_entropy: 0.9976, recall: 0.7178, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7142, kappa: 0.4264, kb_relative_information_score: 27629.9387, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7141, predictive_accuracy: 0.7142, prior_entropy: 0.9976, recall: 0.7142, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7128, kappa: 0.4236, kb_relative_information_score: 6821.1407, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7128, predictive_accuracy: 0.7129, prior_entropy: 0.9976, recall: 0.7129, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7123, kappa: 0.4224, kb_relative_information_score: 12008.4615, mean_absolute_error: 0.4488, 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: 0.9006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7077, kappa: 0.4135, kb_relative_information_score: 7866.8839, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.7077, prior_entropy: 0.9976, recall: 0.7077, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6966, kappa: 0.3914, kb_relative_information_score: 5618.8787, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6967, predictive_accuracy: 0.6966, prior_entropy: 0.9976, recall: 0.6966, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7005, kappa: 0.3987, kb_relative_information_score: 222.8059, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7004, predictive_accuracy: 0.7006, prior_entropy: 0.9976, recall: 0.7006, relative_absolute_error: 0.9983, 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: 0.8007, f_measure: 0.7218, kappa: 0.4415, kb_relative_information_score: 26235.0767, mean_absolute_error: 0.3794, 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: 0.7613, 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: 0.76, f_measure: 0.6883, kappa: 0.374, kb_relative_information_score: 1447.447, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.689, predictive_accuracy: 0.6893, prior_entropy: 0.9976, recall: 0.6893, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7139, kappa: 0.4257, kb_relative_information_score: 27753.6689, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7138, predictive_accuracy: 0.7139, prior_entropy: 0.9976, recall: 0.7139, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.6564, kappa: 0.3103, kb_relative_information_score: 3621.4359, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6563, predictive_accuracy: 0.6566, prior_entropy: 0.9976, recall: 0.6566, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7072, kappa: 0.4123, kb_relative_information_score: 27512.5496, mean_absolute_error: 0.3703, 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: 0.7431, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 26702.6873, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7214, kappa: 0.441, kb_relative_information_score: 27716.1942, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7221, kappa: 0.4422, kb_relative_information_score: 26294.7878, mean_absolute_error: 0.3791, 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: 0.7607, 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: 0.7029, f_measure: 0.6388, kappa: 0.2749, kb_relative_information_score: 855.0458, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6387, predictive_accuracy: 0.6391, prior_entropy: 0.9976, recall: 0.6391, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7193, kappa: 0.4367, kb_relative_information_score: 25761.6302, mean_absolute_error: 0.3814, 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: 0.7653, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3933, kb_relative_information_score: -265.3845, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 27224.9678, mean_absolute_error: 0.3739, 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: 0.7502, 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: 0.738, f_measure: 0.6777, kappa: 0.3535, kb_relative_information_score: 18768.4227, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9976, recall: 0.6801, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7185, kappa: 0.4349, kb_relative_information_score: 27851.0584, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7426, 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: 0.7487, f_measure: 0.687, kappa: 0.3714, kb_relative_information_score: 20707.5881, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9976, recall: 0.6875, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 24894.9847, mean_absolute_error: 0.3866, 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: 0.7758, 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: 0.7882, f_measure: 0.7117, kappa: 0.4213, kb_relative_information_score: 27572.2044, mean_absolute_error: 0.3705, 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: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.6984, kappa: 0.3946, kb_relative_information_score: 27270.4901, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6984, predictive_accuracy: 0.6986, prior_entropy: 0.9976, recall: 0.6986, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6895, kappa: 0.3765, kb_relative_information_score: -12.8022, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6895, predictive_accuracy: 0.6899, prior_entropy: 0.9976, recall: 0.6899, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7229, kappa: 0.4437, kb_relative_information_score: 25952.9665, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7228, predictive_accuracy: 0.723, prior_entropy: 0.9976, recall: 0.723, relative_absolute_error: 0.7644, 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: 0.8013, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26792.2056, mean_absolute_error: 0.3764, 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: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.6772, kappa: 0.352, kb_relative_information_score: 567.5116, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6771, predictive_accuracy: 0.6773, prior_entropy: 0.9976, recall: 0.6773, relative_absolute_error: 0.9959, 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: 0.6846, f_measure: 0.6622, kappa: 0.3219, kb_relative_information_score: 4206.4039, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6621, predictive_accuracy: 0.6623, prior_entropy: 0.9976, recall: 0.6623, relative_absolute_error: 0.967, 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: 0.7962, f_measure: 0.7192, kappa: 0.4362, kb_relative_information_score: 22575.7331, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8679,

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