OpenML
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416626 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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416626 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7563, kappa: 0.3998, kb_relative_information_score: 197.4844, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7278, kappa: 0.3326, kb_relative_information_score: 210.259, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7252, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.4469, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.7281, kappa: 0.3278, kb_relative_information_score: 178.1684, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7303, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7173, kappa: 0.304, kb_relative_information_score: 171.2242, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7153, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7314, kappa: 0.3356, kb_relative_information_score: 183.8428, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7425, kappa: 0.3622, kb_relative_information_score: 197.1486, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7041, kappa: 0.2647, kb_relative_information_score: 132.0369, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7226, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.733, kappa: 0.3485, kb_relative_information_score: 214.565, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7298, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7474, kappa: 0.3763, kb_relative_information_score: 179.5332, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, kb_relative_information_score: 75.0147, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7291, kappa: 0.3281, kb_relative_information_score: 166.1128, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7378, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7446, kappa: 0.3669, kb_relative_information_score: 186.8406, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7544, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7068, kappa: 0.2718, kb_relative_information_score: 159.3088, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7343, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7307, kappa: 0.3321, kb_relative_information_score: 169.1879, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7406, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.3207, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7071, kappa: 0.2748, kb_relative_information_score: 146.7524, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7588, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7213, kappa: 0.3099, kb_relative_information_score: 159.3044, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.725, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7153, kappa: 0.2932, kb_relative_information_score: 167.7257, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7249, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7392, kappa: 0.355, kb_relative_information_score: 172.8576, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 42.2332, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6837, kappa: 0.2514, kb_relative_information_score: 171.9787, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6857, predictive_accuracy: 0.682, prior_entropy: 0.8818, recall: 0.682, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.3635, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.6707, kappa: 0.1889, kb_relative_information_score: 129.9383, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7268, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7287, kappa: 0.3345, kb_relative_information_score: 201.8319, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7262, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6927, kappa: 0.2364, kb_relative_information_score: 103.5815, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7074, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, kb_relative_information_score: 70.577, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8767, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7284, kappa: 0.3284, kb_relative_information_score: 169.0572, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7314, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7219, kappa: 0.3097, kb_relative_information_score: 165.1469, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7331, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.9597, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.576, kappa: -0.002, kb_relative_information_score: 30.0827, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.4898, predictive_accuracy: 0.699, prior_entropy: 0.8818, recall: 0.699, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.1356, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.4862, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.2645, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7444, kappa: 0.3691, kb_relative_information_score: 178.9799, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.5554, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.3527, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5796, kappa: 0.0033, kb_relative_information_score: 14.7555, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6104, predictive_accuracy: 0.699, prior_entropy: 0.8818, recall: 0.699, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -61.0902, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.9031, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.4656, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2961, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.8777, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -57.1429, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6585, kappa: 0.1548, kb_relative_information_score: 107.826, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6822, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.041, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.5264, kappa: -0.0106, kb_relative_information_score: -261.3214, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5749, predictive_accuracy: 0.506, prior_entropy: 0.8818, recall: 0.506, relative_absolute_error: 1.1757, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.9864, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6537, kappa: 0.1447, kb_relative_information_score: 94.1195, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.683, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.9717, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6854, kappa: 0.2206, kb_relative_information_score: 151.7445, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6841, predictive_accuracy: 0.711, prior_entropy: 0.8818, recall: 0.711, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7377, kappa: 0.3585, kb_relative_information_score: 242.3633, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7352, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.6591, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.722, kappa: 0.3186, kb_relative_information_score: 203.2776, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7188, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6667, kappa: 0.1766, kb_relative_information_score: 124.4135, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7036, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -81.5502, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.124, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -308.6788, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1724, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6866, kappa: 0.2219, kb_relative_information_score: 179.3413, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6906, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 33.3554, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.0911, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -49.2874, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 68.6751, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.3362, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.4727, kappa: 0.0066, kb_relative_information_score: -383.8253, mean_absolute_error: 0.542, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5841, predictive_accuracy: 0.458, prior_entropy: 0.8818, recall: 0.458, relative_absolute_error: 1.29, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7362, root_relative_squared_error: 1.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7271, kappa: 0.325, kb_relative_information_score: 208.2777, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7301, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6922, kappa: 0.2364, kb_relative_information_score: 153.8102, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.722, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.3345, kappa: 0.0461, kb_relative_information_score: -233.6386, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6562, predictive_accuracy: 0.388, prior_entropy: 0.8818, recall: 0.388, relative_absolute_error: 1.1171, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -92.9559, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0436, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7003, kappa: 0.2623, kb_relative_information_score: 113.5681, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6967, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7035, kappa: 0.2634, kb_relative_information_score: 138.9586, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7249, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2906, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.2948, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -27.5681, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.9645, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.5915, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 62.9539, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7467, kappa: 0.3789, kb_relative_information_score: 295.577, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7454, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.6421, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.6126, kappa: 0.0609, kb_relative_information_score: 42.5919, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6628, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.6603, kappa: 0.1708, kb_relative_information_score: 116.346, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6765, kappa: 0.2287, kb_relative_information_score: 126.5553, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6761, predictive_accuracy: 0.677, prior_entropy: 0.8818, recall: 0.677, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.9527, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6845, kappa: 0.2412, kb_relative_information_score: 189.2401, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6816, predictive_accuracy: 0.688, prior_entropy: 0.8818, recall: 0.688, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -316.5009, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1779, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.9311, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.3757, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2314, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -414.6032, mean_absolute_error: 0.5264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.2529, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.1563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6831, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5755, kappa: -0.004, kb_relative_information_score: 39.2691, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.4896, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, kb_relative_information_score: -45.1645, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.9354, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs