OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7439, kappa: 0.4837, kb_relative_information_score: 0.4048, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7441, number_of_instances: 3751, precision: 0.7438, predictive_accuracy: 0.7441, prior_entropy: 0.9948, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8698, unweighted_recall: 0.7415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7312, kappa: 0.4583, kb_relative_information_score: 0.4113, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7313, number_of_instances: 3751, precision: 0.7311, predictive_accuracy: 0.7313, prior_entropy: 0.9948, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8906, unweighted_recall: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7306, kappa: 0.457, kb_relative_information_score: 0.3746, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7307, number_of_instances: 3751, precision: 0.7305, predictive_accuracy: 0.7307, prior_entropy: 0.9948, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739, unweighted_recall: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7253, kappa: 0.4462, kb_relative_information_score: 0.3702, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7257, number_of_instances: 3751, precision: 0.7252, predictive_accuracy: 0.7257, prior_entropy: 0.9948, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8869, unweighted_recall: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7325, kappa: 0.4618, kb_relative_information_score: 0.4424, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7323, number_of_instances: 3751, precision: 0.7329, predictive_accuracy: 0.7323, prior_entropy: 0.9948, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9584, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7264, kappa: 0.4487, kb_relative_information_score: 0.3945, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7265, number_of_instances: 3751, precision: 0.7263, predictive_accuracy: 0.7265, prior_entropy: 0.9948, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9002, unweighted_recall: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7412, kappa: 0.4796, kb_relative_information_score: 0.4563, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7409, number_of_instances: 3751, precision: 0.742, predictive_accuracy: 0.7409, prior_entropy: 0.9948, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9246, unweighted_recall: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7179, kappa: 0.4322, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7177, number_of_instances: 3751, precision: 0.7182, predictive_accuracy: 0.7177, prior_entropy: 0.9948, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.962, unweighted_recall: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.734, kappa: 0.4643, kb_relative_information_score: 0.4139, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7339, number_of_instances: 3751, precision: 0.7341, predictive_accuracy: 0.7339, prior_entropy: 0.9948, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.897, unweighted_recall: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7194, kappa: 0.435, kb_relative_information_score: 0.4157, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7193, number_of_instances: 3751, precision: 0.7196, predictive_accuracy: 0.7193, prior_entropy: 0.9948, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9926, unweighted_recall: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7292, kappa: 0.454, kb_relative_information_score: 0.3618, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7297, number_of_instances: 3751, precision: 0.7292, predictive_accuracy: 0.7297, prior_entropy: 0.9948, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8759, unweighted_recall: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7184, kappa: 0.4333, kb_relative_information_score: 0.4174, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7182, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7182, prior_entropy: 0.9948, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9781, unweighted_recall: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.732, kappa: 0.4604, kb_relative_information_score: 0.3993, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7318, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.7318, prior_entropy: 0.9948, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9057, unweighted_recall: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7251, kappa: 0.4466, kb_relative_information_score: 0.4171, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7249, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7249, prior_entropy: 0.9948, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9326, unweighted_recall: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7338, kappa: 0.4642, kb_relative_information_score: 0.3985, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7337, number_of_instances: 3751, precision: 0.734, predictive_accuracy: 0.7337, prior_entropy: 0.9948, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8848, unweighted_recall: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7213, kappa: 0.4383, kb_relative_information_score: 0.427, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7214, number_of_instances: 3751, precision: 0.7212, predictive_accuracy: 0.7214, prior_entropy: 0.9948, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9555, unweighted_recall: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7404, kappa: 0.4778, kb_relative_information_score: 0.4216, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7401, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7401, prior_entropy: 0.9948, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8817, unweighted_recall: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.734, kappa: 0.4645, kb_relative_information_score: 0.4039, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7339, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7339, prior_entropy: 0.9948, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8861, unweighted_recall: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7271, kappa: 0.4505, kb_relative_information_score: 0.4266, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, weighted_recall: 0.727, number_of_instances: 3751, precision: 0.7272, predictive_accuracy: 0.727, prior_entropy: 0.9948, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9179, unweighted_recall: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7202, kappa: 0.4362, kb_relative_information_score: 0.4209, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7203, number_of_instances: 3751, precision: 0.7201, predictive_accuracy: 0.7203, prior_entropy: 0.9948, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9406, unweighted_recall: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7279, kappa: 0.4522, kb_relative_information_score: 0.4082, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7278, number_of_instances: 3751, precision: 0.7281, predictive_accuracy: 0.7278, prior_entropy: 0.9948, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.909, unweighted_recall: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7369, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9069, unweighted_recall: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7365, kappa: 0.4697, kb_relative_information_score: 0.4365, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7363, number_of_instances: 3751, precision: 0.7368, predictive_accuracy: 0.7363, prior_entropy: 0.9948, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9107, unweighted_recall: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7208, kappa: 0.4374, kb_relative_information_score: 0.3829, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7209, number_of_instances: 3751, precision: 0.7207, predictive_accuracy: 0.7209, prior_entropy: 0.9948, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8914, unweighted_recall: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.74, kappa: 0.4761, kb_relative_information_score: 0.436, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7401, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7401, prior_entropy: 0.9948, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9247, unweighted_recall: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7339, kappa: 0.4645, kb_relative_information_score: 0.4086, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7337, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7337, prior_entropy: 0.9948, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8906, unweighted_recall: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7379, kappa: 0.4718, kb_relative_information_score: 0.3881, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7379, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7379, prior_entropy: 0.9948, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, unweighted_recall: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7325, kappa: 0.4617, kb_relative_information_score: 0.4225, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7323, number_of_instances: 3751, precision: 0.7329, predictive_accuracy: 0.7323, prior_entropy: 0.9948, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9062, unweighted_recall: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7374, kappa: 0.4711, kb_relative_information_score: 0.411, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7374, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7374, prior_entropy: 0.9948, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8789, unweighted_recall: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7376, kappa: 0.4717, kb_relative_information_score: 0.4017, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7374, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7374, prior_entropy: 0.9948, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8746, unweighted_recall: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7201, kappa: 0.4364, kb_relative_information_score: 0.3429, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7201, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7201, prior_entropy: 0.9948, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8873, unweighted_recall: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7334, kappa: 0.464, kb_relative_information_score: 0.4003, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7331, number_of_instances: 3751, precision: 0.7342, predictive_accuracy: 0.7331, prior_entropy: 0.9948, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9125, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7248, kappa: 0.4461, kb_relative_information_score: 0.412, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7246, number_of_instances: 3751, precision: 0.7251, predictive_accuracy: 0.7246, prior_entropy: 0.9948, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9083, unweighted_recall: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7257, kappa: 0.4477, kb_relative_information_score: 0.3895, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7257, number_of_instances: 3751, precision: 0.7258, predictive_accuracy: 0.7257, prior_entropy: 0.9948, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.907, unweighted_recall: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7357, kappa: 0.4676, kb_relative_information_score: 0.3718, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7358, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7358, prior_entropy: 0.9948, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8736, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7267, kappa: 0.4503, kb_relative_information_score: 0.4197, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7265, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.7265, prior_entropy: 0.9948, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9124, unweighted_recall: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7328, kappa: 0.4624, kb_relative_information_score: 0.4261, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7326, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7326, prior_entropy: 0.9948, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9401, unweighted_recall: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7398, kappa: 0.476, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7398, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7398, prior_entropy: 0.9948, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9112, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.745, kappa: 0.486, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7632, kappa: 0.5224, kb_relative_information_score: 0.5222, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.4006, kappa: 0.0167, kb_relative_information_score: 0.0885, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6522, predictive_accuracy: 0.5489, prior_entropy: 0.9948, recall: 0.5489, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6716, root_relative_squared_error: 1.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.745, kappa: 0.486, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5225, kappa: 0.0382, kb_relative_information_score: 0.0351, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5225, predictive_accuracy: 0.5225, prior_entropy: 0.9948, recall: 0.5225, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5753, kappa: 0.1444, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5753, predictive_accuracy: 0.5753, prior_entropy: 0.9948, recall: 0.5753, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6517, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7379, kappa: 0.4724, kb_relative_information_score: 0.4791, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5753, kappa: 0.1444, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5753, predictive_accuracy: 0.5753, prior_entropy: 0.9948, recall: 0.5753, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6517, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5225, kappa: 0.0382, kb_relative_information_score: 0.0351, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5225, predictive_accuracy: 0.5225, prior_entropy: 0.9948, recall: 0.5225, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7716, kappa: 0.5394, kb_relative_information_score: 0.5394, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.76, kappa: 0.5159, kb_relative_information_score: 0.5162, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.678, kappa: 0.3509, kb_relative_information_score: 0.3498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6778, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7614, kappa: 0.5186, kb_relative_information_score: 0.5195, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7499, kappa: 0.4956, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 0.5442, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7241, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7379, kappa: 0.4724, kb_relative_information_score: 0.4791, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5469, kappa: 0.1703, kb_relative_information_score: 0.2145, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.672, predictive_accuracy: 0.6113, prior_entropy: 0.9948, recall: 0.6113, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6235, root_relative_squared_error: 1.2514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 0.5442, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.4088, kappa: 0.0231, kb_relative_information_score: 0.0933, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6403, predictive_accuracy: 0.5513, prior_entropy: 0.9948, recall: 0.5513, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7241, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.678, kappa: 0.3509, kb_relative_information_score: 0.3498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6778, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.618, kappa: 0.2305, kb_relative_information_score: 0.228, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.618, predictive_accuracy: 0.618, prior_entropy: 0.9948, recall: 0.618, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6602, kappa: 0.3151, kb_relative_information_score: 0.3137, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.66, predictive_accuracy: 0.6604, prior_entropy: 0.9948, recall: 0.6604, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.678, kappa: 0.3509, kb_relative_information_score: 0.3498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6778, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6167, kappa: 0.228, kb_relative_information_score: 0.2253, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6168, predictive_accuracy: 0.6166, prior_entropy: 0.9948, recall: 0.6166, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6192, root_relative_squared_error: 1.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5459, kappa: 0.1609, kb_relative_information_score: 0.2038, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6509, predictive_accuracy: 0.606, prior_entropy: 0.9948, recall: 0.606, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7649, kappa: 0.5256, kb_relative_information_score: 0.527, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7614, kappa: 0.5188, kb_relative_information_score: 0.5189, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.7129, kappa: 0.4212, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7127, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7614, kappa: 0.5186, kb_relative_information_score: 0.5195, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7607, kappa: 0.5171, kb_relative_information_score: 0.5178, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9804,

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