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: 0.8925, f_measure: 0.8137, kappa: 0.6229, kb_relative_information_score: 8576.6614, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9924, recall: 0.8142, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8246, kappa: 0.6449, kb_relative_information_score: 8879.8257, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.825, predictive_accuracy: 0.8252, prior_entropy: 0.9924, recall: 0.8252, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8342, kappa: 0.6645, kb_relative_information_score: 9567.1582, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8343, predictive_accuracy: 0.8345, prior_entropy: 0.9924, recall: 0.8345, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8281, kappa: 0.6519, kb_relative_information_score: 9159.9764, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 0.9924, recall: 0.8284, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8389, kappa: 0.6738, kb_relative_information_score: 9827.5738, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8391, predictive_accuracy: 0.8393, prior_entropy: 0.9924, recall: 0.8393, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8392, kappa: 0.6747, kb_relative_information_score: 9938.6413, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8391, predictive_accuracy: 0.8393, prior_entropy: 0.9924, recall: 0.8393, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8196, kappa: 0.635, kb_relative_information_score: 8704.9937, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8196, predictive_accuracy: 0.8198, prior_entropy: 0.9924, recall: 0.8198, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8192, kappa: 0.6343, kb_relative_information_score: 8704.0961, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8192, predictive_accuracy: 0.8195, prior_entropy: 0.9924, recall: 0.8195, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.828, kappa: 0.6519, kb_relative_information_score: 9204.4538, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.828, predictive_accuracy: 0.8282, prior_entropy: 0.9924, recall: 0.8282, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8419, kappa: 0.6802, kb_relative_information_score: 9997.4575, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8419, predictive_accuracy: 0.8421, prior_entropy: 0.9924, recall: 0.8421, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.38, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 9701.3597, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.837, predictive_accuracy: 0.8372, prior_entropy: 0.9924, recall: 0.8372, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8221, kappa: 0.6399, kb_relative_information_score: 8804.953, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8224, predictive_accuracy: 0.8226, prior_entropy: 0.9924, recall: 0.8226, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8232, kappa: 0.6421, kb_relative_information_score: 8994.2763, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8233, predictive_accuracy: 0.8236, prior_entropy: 0.9924, recall: 0.8236, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8128, kappa: 0.621, kb_relative_information_score: 8486.0308, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9924, recall: 0.8134, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8304, kappa: 0.6568, kb_relative_information_score: 9428.4756, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8304, predictive_accuracy: 0.8306, prior_entropy: 0.9924, recall: 0.8306, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8181, kappa: 0.6317, kb_relative_information_score: 8628.5542, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9924, recall: 0.8185, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8367, kappa: 0.6696, kb_relative_information_score: 9678.0392, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8369, prior_entropy: 0.9924, recall: 0.8369, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8204, kappa: 0.6365, kb_relative_information_score: 8814.1643, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8205, predictive_accuracy: 0.8208, prior_entropy: 0.9924, recall: 0.8208, relative_absolute_error: 0.4196, 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: 0.8912, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 9542.7568, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8335, predictive_accuracy: 0.8337, prior_entropy: 0.9924, recall: 0.8337, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8125, kappa: 0.6203, kb_relative_information_score: 8482.6273, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9924, recall: 0.8131, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.828, kappa: 0.6518, kb_relative_information_score: 9153.2597, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 0.9924, recall: 0.8284, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8164, kappa: 0.6284, kb_relative_information_score: 8554.4922, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8165, predictive_accuracy: 0.8168, prior_entropy: 0.9924, recall: 0.8168, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8283, kappa: 0.6528, kb_relative_information_score: 9374.891, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8283, predictive_accuracy: 0.8285, prior_entropy: 0.9924, recall: 0.8285, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8205, kappa: 0.6366, kb_relative_information_score: 8712.421, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8208, predictive_accuracy: 0.821, prior_entropy: 0.9924, recall: 0.821, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8301, kappa: 0.6561, kb_relative_information_score: 9288.7767, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9924, recall: 0.8304, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8175, kappa: 0.6306, kb_relative_information_score: 8619.198, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8177, predictive_accuracy: 0.818, prior_entropy: 0.9924, recall: 0.818, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8358, kappa: 0.6676, kb_relative_information_score: 9643.5493, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8359, predictive_accuracy: 0.8361, prior_entropy: 0.9924, recall: 0.8361, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8295, kappa: 0.655, kb_relative_information_score: 9309.083, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8295, predictive_accuracy: 0.8298, prior_entropy: 0.9924, recall: 0.8298, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8397, kappa: 0.6756, kb_relative_information_score: 9827.8443, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.84, predictive_accuracy: 0.8401, prior_entropy: 0.9924, recall: 0.8401, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8288, kappa: 0.6535, kb_relative_information_score: 9324.2344, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.829, predictive_accuracy: 0.8292, prior_entropy: 0.9924, recall: 0.8292, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8187, kappa: 0.6332, kb_relative_information_score: 8703.0147, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8186, predictive_accuracy: 0.8189, prior_entropy: 0.9924, recall: 0.8189, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8139, kappa: 0.6231, kb_relative_information_score: 8498.6359, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8142, predictive_accuracy: 0.8144, prior_entropy: 0.9924, recall: 0.8144, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8175, kappa: 0.6306, kb_relative_information_score: 8618.3972, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8177, predictive_accuracy: 0.818, prior_entropy: 0.9924, recall: 0.818, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8121, kappa: 0.6195, kb_relative_information_score: 8384.5032, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8126, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8328, kappa: 0.6615, kb_relative_information_score: 9527.1286, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8328, predictive_accuracy: 0.833, prior_entropy: 0.9924, recall: 0.833, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.826, kappa: 0.6477, kb_relative_information_score: 8900.1562, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8264, predictive_accuracy: 0.8265, prior_entropy: 0.9924, recall: 0.8265, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8359, kappa: 0.668, kb_relative_information_score: 9700.0238, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.836, predictive_accuracy: 0.8362, prior_entropy: 0.9924, recall: 0.8362, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8196, kappa: 0.635, kb_relative_information_score: 8625.4404, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9924, recall: 0.82, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8381, kappa: 0.6723, kb_relative_information_score: 9801.4868, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 0.9924, recall: 0.8385, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8311, kappa: 0.6583, kb_relative_information_score: 9488.2823, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8311, predictive_accuracy: 0.8313, prior_entropy: 0.9924, recall: 0.8313, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8313, kappa: 0.6586, kb_relative_information_score: 9425.1541, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9924, recall: 0.8317, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8401, kappa: 0.6763, kb_relative_information_score: 9983.4168, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8403, predictive_accuracy: 0.8405, prior_entropy: 0.9924, recall: 0.8405, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8185, kappa: 0.6326, kb_relative_information_score: 8625.9474, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 0.9924, recall: 0.819, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8367, kappa: 0.6697, kb_relative_information_score: 9667.5119, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8368, prior_entropy: 0.9924, recall: 0.8368, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8294, kappa: 0.6548, kb_relative_information_score: 9224.6207, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8295, predictive_accuracy: 0.8297, prior_entropy: 0.9924, recall: 0.8297, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8224, kappa: 0.6404, kb_relative_information_score: 8809.0115, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9924, recall: 0.8228, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8283, kappa: 0.6524, kb_relative_information_score: 9028.2688, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8284, predictive_accuracy: 0.8286, prior_entropy: 0.9924, recall: 0.8286, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8132, kappa: 0.6217, kb_relative_information_score: 8490.9914, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8135, predictive_accuracy: 0.8138, prior_entropy: 0.9924, recall: 0.8138, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8374, kappa: 0.6711, kb_relative_information_score: 9900.2219, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9924, recall: 0.8377, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8288, kappa: 0.6533, kb_relative_information_score: 9024.3808, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.829, predictive_accuracy: 0.8292, prior_entropy: 0.9924, recall: 0.8292, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8128, kappa: 0.6209, kb_relative_information_score: 8491.2541, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8131, predictive_accuracy: 0.8134, prior_entropy: 0.9924, recall: 0.8134, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7337,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9195, kappa: 0.837, kb_relative_information_score: 9356.3045, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9201, predictive_accuracy: 0.9197, prior_entropy: 0.9924, recall: 0.9197, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9033, kappa: 0.804, kb_relative_information_score: 7426.1247, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9055, predictive_accuracy: 0.9038, prior_entropy: 0.9924, recall: 0.9038, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9105, kappa: 0.8187, kb_relative_information_score: 8256.6473, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9116, predictive_accuracy: 0.9108, prior_entropy: 0.9924, recall: 0.9108, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8946, kappa: 0.7866, kb_relative_information_score: 8508.758, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8956, predictive_accuracy: 0.895, prior_entropy: 0.9924, recall: 0.895, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9104, kappa: 0.8186, kb_relative_information_score: 9374.5672, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9111, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9241, kappa: 0.8462, kb_relative_information_score: 8285.1501, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9254, predictive_accuracy: 0.9244, prior_entropy: 0.9924, recall: 0.9244, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8773, kappa: 0.7517, kb_relative_information_score: 10175.7945, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8774, predictive_accuracy: 0.8775, prior_entropy: 0.9924, recall: 0.8775, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.291, root_relative_squared_error: 0.585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9964.7173, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 0.9924, recall: 0.9394, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8798, kappa: 0.7564, kb_relative_information_score: 6500.4652, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8833, predictive_accuracy: 0.8807, prior_entropy: 0.9924, recall: 0.8807, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9286, kappa: 0.8555, kb_relative_information_score: 9720.4587, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.929, predictive_accuracy: 0.9288, prior_entropy: 0.9924, recall: 0.9288, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9053, kappa: 0.8082, kb_relative_information_score: 8968.6674, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9056, prior_entropy: 0.9924, recall: 0.9056, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9289, kappa: 0.8562, kb_relative_information_score: 9996.6823, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9294, predictive_accuracy: 0.9291, prior_entropy: 0.9924, recall: 0.9291, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9053, kappa: 0.8082, kb_relative_information_score: 8881.3392, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9062, predictive_accuracy: 0.9056, prior_entropy: 0.9924, recall: 0.9056, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5777,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8931, kappa: 0.7834, kb_relative_information_score: 8328.5313, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.894, predictive_accuracy: 0.8935, prior_entropy: 0.9924, recall: 0.8935, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8933, kappa: 0.7837, kb_relative_information_score: 7006.0532, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8959, predictive_accuracy: 0.8939, prior_entropy: 0.9924, recall: 0.8939, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9232, kappa: 0.8444, kb_relative_information_score: 9375.8646, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9238, predictive_accuracy: 0.9234, prior_entropy: 0.9924, recall: 0.9234, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5423,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9083, kappa: 0.8143, kb_relative_information_score: 8968.5335, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9092, predictive_accuracy: 0.9086, prior_entropy: 0.9924, recall: 0.9086, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9188, kappa: 0.8356, kb_relative_information_score: 8112.0253, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9202, predictive_accuracy: 0.9192, prior_entropy: 0.9924, recall: 0.9192, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8707, kappa: 0.7383, kb_relative_information_score: 9640.0166, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9924, recall: 0.871, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8686, kappa: 0.7337, kb_relative_information_score: 6159.9834, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8726, predictive_accuracy: 0.8697, prior_entropy: 0.9924, recall: 0.8697, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9208, kappa: 0.8397, kb_relative_information_score: 10120.2936, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9212, predictive_accuracy: 0.921, prior_entropy: 0.9924, recall: 0.921, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8964, kappa: 0.7904, kb_relative_information_score: 9925.5176, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8968, predictive_accuracy: 0.8967, prior_entropy: 0.9924, recall: 0.8967, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 7793.0612, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.892, predictive_accuracy: 0.8909, prior_entropy: 0.9924, recall: 0.8909, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.899, kappa: 0.7955, kb_relative_information_score: 8646.04, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9001, predictive_accuracy: 0.8994, prior_entropy: 0.9924, recall: 0.8994, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8942, kappa: 0.7857, kb_relative_information_score: 7459.8579, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8959, predictive_accuracy: 0.8947, prior_entropy: 0.9924, recall: 0.8947, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9264, kappa: 0.8509, kb_relative_information_score: 9792.3841, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9267, predictive_accuracy: 0.9265, prior_entropy: 0.9924, recall: 0.9265, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8863, kappa: 0.7696, kb_relative_information_score: 6714.4626, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8892, predictive_accuracy: 0.887, prior_entropy: 0.9924, recall: 0.887, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8839, kappa: 0.7647, kb_relative_information_score: 6608.7021, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8871, predictive_accuracy: 0.8847, prior_entropy: 0.9924, recall: 0.8847, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9335, kappa: 0.8654, kb_relative_information_score: 9342.6953, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.934, predictive_accuracy: 0.9336, prior_entropy: 0.9924, recall: 0.9336, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8545, kappa: 0.7052, kb_relative_information_score: 5597.9926, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8598, predictive_accuracy: 0.856, prior_entropy: 0.9924, recall: 0.856, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7347,

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