OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8305, kappa: 0.6566, kb_relative_information_score: 9848.675, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8317, predictive_accuracy: 0.8313, prior_entropy: 0.9924, recall: 0.8313, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6665, kappa: 0.3286, kb_relative_information_score: 2017.3771, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6804, predictive_accuracy: 0.6767, prior_entropy: 0.9924, recall: 0.6767, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6093, kappa: 0.2182, kb_relative_information_score: 3598.5269, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6264, predictive_accuracy: 0.6258, prior_entropy: 0.9924, recall: 0.6258, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6324, kappa: 0.2648, kb_relative_information_score: 2528.0277, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6384, predictive_accuracy: 0.6314, prior_entropy: 0.9924, recall: 0.6314, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6665, kappa: 0.3286, kb_relative_information_score: 2017.3771, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6804, predictive_accuracy: 0.6767, prior_entropy: 0.9924, recall: 0.6767, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6093, kappa: 0.2182, kb_relative_information_score: 3598.5269, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6264, predictive_accuracy: 0.6258, prior_entropy: 0.9924, recall: 0.6258, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6324, kappa: 0.2648, kb_relative_information_score: 2528.0277, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6384, predictive_accuracy: 0.6314, prior_entropy: 0.9924, recall: 0.6314, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8698, kappa: 0.7364, kb_relative_information_score: 8168.674, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9924, recall: 0.8704, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8276, kappa: 0.6509, kb_relative_information_score: 8625.7271, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8281, predictive_accuracy: 0.8282, prior_entropy: 0.9924, recall: 0.8282, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8306, kappa: 0.6575, kb_relative_information_score: 9832.4303, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8306, predictive_accuracy: 0.8308, prior_entropy: 0.9924, recall: 0.8308, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8765, kappa: 0.7501, kb_relative_information_score: 10640.6139, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8765, predictive_accuracy: 0.8766, prior_entropy: 0.9924, recall: 0.8766, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8279, kappa: 0.652, kb_relative_information_score: 9484.7447, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9924, recall: 0.828, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7385, kappa: 0.4701, kb_relative_information_score: 4960.6959, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7396, predictive_accuracy: 0.7401, prior_entropy: 0.9924, recall: 0.7401, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8933, kappa: 0.7844, kb_relative_information_score: 11422.8644, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8933, predictive_accuracy: 0.8933, prior_entropy: 0.9924, recall: 0.8933, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.292, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7626, kappa: 0.519, kb_relative_information_score: 5693.1785, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7639, predictive_accuracy: 0.7641, prior_entropy: 0.9924, recall: 0.7641, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6804, kappa: 0.3527, kb_relative_information_score: 4170.7355, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6842, predictive_accuracy: 0.6848, prior_entropy: 0.9924, recall: 0.6848, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.4638, kappa: 0.0346, kb_relative_information_score: 167.4365, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5506, predictive_accuracy: 0.5581, prior_entropy: 0.9924, recall: 0.5581, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2781, kb_relative_information_score: -1786.5909, mean_absolute_error: 0.5512, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.2014, predictive_accuracy: 0.4488, prior_entropy: 0.9924, recall: 0.4488, relative_absolute_error: 1.1141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3924, kappa: 0.0006, kb_relative_information_score: 1334.422, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6245, predictive_accuracy: 0.5514, prior_entropy: 0.9924, recall: 0.5514, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8399, kappa: 0.6763, kb_relative_information_score: 10110.6208, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8398, predictive_accuracy: 0.8399, prior_entropy: 0.9924, recall: 0.8399, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -205.239, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8058, kappa: 0.6067, kb_relative_information_score: 9087.2047, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.806, predictive_accuracy: 0.8063, prior_entropy: 0.9924, recall: 0.8063, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.4859, kappa: 0.0302, kb_relative_information_score: -271.7727, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5234, predictive_accuracy: 0.4986, prior_entropy: 0.9924, recall: 0.4986, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8774, kappa: 0.7517, kb_relative_information_score: 10824.8518, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8782, predictive_accuracy: 0.8778, prior_entropy: 0.9924, recall: 0.8778, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.746, kappa: 0.4855, kb_relative_information_score: 5324.3419, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7466, predictive_accuracy: 0.7472, prior_entropy: 0.9924, recall: 0.7472, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7322, kappa: 0.4578, kb_relative_information_score: 4673.8328, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7382, predictive_accuracy: 0.7362, prior_entropy: 0.9924, recall: 0.7362, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5573, kappa: 0.1472, kb_relative_information_score: 1019.6807, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6107, predictive_accuracy: 0.6008, prior_entropy: 0.9924, recall: 0.6008, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8443, kappa: 0.6849, kb_relative_information_score: 9469.9387, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8445, prior_entropy: 0.9924, recall: 0.8445, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 9007.5691, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8334, predictive_accuracy: 0.8336, prior_entropy: 0.9924, recall: 0.8336, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.6913, kappa: 0.3745, kb_relative_information_score: 3276.3085, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6917, predictive_accuracy: 0.6931, prior_entropy: 0.9924, recall: 0.6931, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8933, kappa: 0.7839, kb_relative_information_score: 9101.007, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8939, predictive_accuracy: 0.8936, prior_entropy: 0.9924, recall: 0.8936, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.906, kappa: 0.8097, kb_relative_information_score: 9926.2415, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9924, recall: 0.9061, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8978, kappa: 0.793, kb_relative_information_score: 9580.6728, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8996, predictive_accuracy: 0.8983, prior_entropy: 0.9924, recall: 0.8983, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.3979, kappa: 0.0062, kb_relative_information_score: -188.9622, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7056, predictive_accuracy: 0.5537, prior_entropy: 0.9924, recall: 0.5537, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5299, kappa: 0.1249, kb_relative_information_score: 574.9519, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6225, predictive_accuracy: 0.5955, prior_entropy: 0.9924, recall: 0.5955, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7164, kappa: 0.4257, kb_relative_information_score: 3691.003, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7164, predictive_accuracy: 0.7174, prior_entropy: 0.9924, recall: 0.7174, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3959, kappa: 0.0037, kb_relative_information_score: 1370.9725, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6495, predictive_accuracy: 0.5526, prior_entropy: 0.9924, recall: 0.5526, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6689, root_relative_squared_error: 1.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.822, kappa: 0.6398, kb_relative_information_score: 8464.3296, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8221, predictive_accuracy: 0.8224, prior_entropy: 0.9924, recall: 0.8224, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9098, kappa: 0.8172, kb_relative_information_score: 9839.758, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.912, predictive_accuracy: 0.9103, prior_entropy: 0.9924, recall: 0.9103, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.3569, kappa: 0.0164, kb_relative_information_score: -775.1654, mean_absolute_error: 0.5151, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5389, predictive_accuracy: 0.4657, prior_entropy: 0.9924, recall: 0.4657, relative_absolute_error: 1.0411, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 10162.0053, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9677, kappa: 0.9347, kb_relative_information_score: 13739.0442, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.9924, recall: 0.9677, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9295, kappa: 0.8573, kb_relative_information_score: 9473.1509, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9301, predictive_accuracy: 0.9297, prior_entropy: 0.9924, recall: 0.9297, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7498, kappa: 0.4931, kb_relative_information_score: 5868.5616, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7503, predictive_accuracy: 0.7509, prior_entropy: 0.9924, recall: 0.7509, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9314, kappa: 0.861, kb_relative_information_score: 9334.6728, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9322, predictive_accuracy: 0.9316, prior_entropy: 0.9924, recall: 0.9316, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8399, kappa: 0.6763, kb_relative_information_score: 10109.5252, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8398, predictive_accuracy: 0.8399, prior_entropy: 0.9924, recall: 0.8399, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.841, kappa: 0.6784, kb_relative_information_score: 9697.9379, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8409, predictive_accuracy: 0.8411, prior_entropy: 0.9924, recall: 0.8411, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9325, kappa: 0.8635, kb_relative_information_score: 12894.3826, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.9924, recall: 0.9325, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1262.6488, mean_absolute_error: 0.5337, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6978, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6613, kappa: 0.3137, kb_relative_information_score: 2886.0961, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6626, predictive_accuracy: 0.6645, prior_entropy: 0.9924, recall: 0.6645, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8312, kappa: 0.6589, kb_relative_information_score: 9844.6138, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9924, recall: 0.8312, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8397, kappa: 0.6758, kb_relative_information_score: 9481.3959, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8397, predictive_accuracy: 0.8399, prior_entropy: 0.9924, recall: 0.8399, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9355, kappa: 0.8695, kb_relative_information_score: 11518.2044, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9924, recall: 0.9355, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8377, kappa: 0.6717, kb_relative_information_score: 9242.9376, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8376, predictive_accuracy: 0.8378, prior_entropy: 0.9924, recall: 0.8378, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8276, kappa: 0.6513, kb_relative_information_score: 8736.3155, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8276, predictive_accuracy: 0.8278, prior_entropy: 0.9924, recall: 0.8278, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8216, kappa: 0.6392, kb_relative_information_score: 8361.5213, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8216, predictive_accuracy: 0.8218, prior_entropy: 0.9924, recall: 0.8218, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8113, kappa: 0.6181, kb_relative_information_score: 7818.1368, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9924, recall: 0.8116, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8081, kappa: 0.6116, kb_relative_information_score: 7552.6305, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8083, predictive_accuracy: 0.8086, prior_entropy: 0.9924, recall: 0.8086, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5323, kappa: 0.1266, kb_relative_information_score: 596.2538, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6207, predictive_accuracy: 0.5959, prior_entropy: 0.9924, recall: 0.5959, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7983, kappa: 0.5917, kb_relative_information_score: 6973.6809, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7985, predictive_accuracy: 0.7989, prior_entropy: 0.9924, recall: 0.7989, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.386, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6045, kappa: 0.2097, kb_relative_information_score: 3441.7902, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6229, predictive_accuracy: 0.6223, prior_entropy: 0.9924, recall: 0.6223, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7914, kappa: 0.5776, kb_relative_information_score: 6621.0176, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7919, predictive_accuracy: 0.7922, prior_entropy: 0.9924, recall: 0.7922, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7723, kappa: 0.5387, kb_relative_information_score: 5842.2121, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9924, recall: 0.7734, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7582, kappa: 0.5101, kb_relative_information_score: 5348.9621, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7595, predictive_accuracy: 0.7597, prior_entropy: 0.9924, recall: 0.7597, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7443, kappa: 0.4819, kb_relative_information_score: 4905.1488, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7455, predictive_accuracy: 0.7459, prior_entropy: 0.9924, recall: 0.7459, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7243, kappa: 0.4413, kb_relative_information_score: 4342.9542, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7271, predictive_accuracy: 0.7271, prior_entropy: 0.9924, recall: 0.7271, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9354, kappa: 0.8693, kb_relative_information_score: 9916.1632, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 0.9924, recall: 0.9356, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9336, kappa: 0.8655, kb_relative_information_score: 10075.7731, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.934, predictive_accuracy: 0.9337, prior_entropy: 0.9924, recall: 0.9337, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9346, kappa: 0.8676, kb_relative_information_score: 10162.9151, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9347, prior_entropy: 0.9924, recall: 0.9347, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8377, kappa: 0.6719, kb_relative_information_score: 10044.6377, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8377, predictive_accuracy: 0.8378, prior_entropy: 0.9924, recall: 0.8378, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9327, kappa: 0.8637, kb_relative_information_score: 10210.9763, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9332, predictive_accuracy: 0.9328, prior_entropy: 0.9924, recall: 0.9328, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.864, kappa: 0.7247, kb_relative_information_score: 9041.3997, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8641, predictive_accuracy: 0.8642, prior_entropy: 0.9924, recall: 0.8642, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6881, kappa: 0.3679, kb_relative_information_score: 2924.1822, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6895, predictive_accuracy: 0.6907, prior_entropy: 0.9924, recall: 0.6907, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9204, kappa: 0.8388, kb_relative_information_score: 10413.4127, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9218, predictive_accuracy: 0.9208, prior_entropy: 0.9924, recall: 0.9208, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 6651.5802, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8705, predictive_accuracy: 0.8689, prior_entropy: 0.9924, recall: 0.8689, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6881, kappa: 0.3679, kb_relative_information_score: 2924.1822, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6895, predictive_accuracy: 0.6907, prior_entropy: 0.9924, recall: 0.6907, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.5908, kappa: 0.1797, kb_relative_information_score: 1074.4675, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6039, predictive_accuracy: 0.6068, prior_entropy: 0.9924, recall: 0.6068, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7913, kappa: 0.5779, kb_relative_information_score: 7849.6413, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7912, predictive_accuracy: 0.7915, prior_entropy: 0.9924, recall: 0.7915, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9286, kappa: 0.8554, kb_relative_information_score: 9888.4739, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 0.9924, recall: 0.9288, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9309, kappa: 0.8601, kb_relative_information_score: 10218.9065, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8427, kappa: 0.6814, kb_relative_information_score: 9523.0318, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8433, predictive_accuracy: 0.8432, prior_entropy: 0.9924, recall: 0.8432, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6878, kappa: 0.3684, kb_relative_information_score: 2066.92, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6876, predictive_accuracy: 0.6881, prior_entropy: 0.9924, recall: 0.6881, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9154,

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