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: 0.4731, f_measure: 0.4787, kappa: -0.0537, kb_relative_information_score: -876.8877, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4787, predictive_accuracy: 0.4787, prior_entropy: 0.9924, recall: 0.4787, relative_absolute_error: 1.0536, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.722, root_relative_squared_error: 1.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.4765, kappa: 0.0736, kb_relative_information_score: 2136.504, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6257, predictive_accuracy: 0.5778, prior_entropy: 0.9924, recall: 0.5778, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.8555, kappa: 0.7074, kb_relative_information_score: 10602.0229, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8564, predictive_accuracy: 0.8561, prior_entropy: 0.9924, recall: 0.8561, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.5263, kappa: 0.1171, kb_relative_information_score: 2560.8968, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6138, predictive_accuracy: 0.5917, prior_entropy: 0.9924, recall: 0.5917, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.639, root_relative_squared_error: 1.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.4353, kappa: 0.0293, kb_relative_information_score: 1610.5818, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5857, predictive_accuracy: 0.5605, prior_entropy: 0.9924, recall: 0.5605, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.663, root_relative_squared_error: 1.3329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6934, kappa: 0.3844, kb_relative_information_score: 5992.5895, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7143, predictive_accuracy: 0.7045, prior_entropy: 0.9924, recall: 0.7045, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.3967, kappa: 0.0049, kb_relative_information_score: 1387.2172, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6957, predictive_accuracy: 0.5531, prior_entropy: 0.9924, recall: 0.5531, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6685, root_relative_squared_error: 1.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6247, kappa: 0.278, kb_relative_information_score: 4707.2277, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7068, predictive_accuracy: 0.6623, prior_entropy: 0.9924, recall: 0.6623, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.4309, kappa: 0.0367, kb_relative_information_score: 1754.7536, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6603, predictive_accuracy: 0.5652, prior_entropy: 0.9924, recall: 0.5652, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6428, kappa: 0.3048, kb_relative_information_score: 5036.1828, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7088, predictive_accuracy: 0.6731, prior_entropy: 0.9924, recall: 0.6731, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8749, kappa: 0.7468, kb_relative_information_score: 11182.7709, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8752, predictive_accuracy: 0.8752, prior_entropy: 0.9924, recall: 0.8752, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, 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: 0.5526, f_measure: 0.5237, kappa: 0.1125, kb_relative_information_score: 2497.9485, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.61, predictive_accuracy: 0.5897, prior_entropy: 0.9924, recall: 0.5897, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6406, root_relative_squared_error: 1.2879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.5463, kappa: 0.1324, kb_relative_information_score: 2664.4567, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6054, predictive_accuracy: 0.5951, prior_entropy: 0.9924, recall: 0.5951, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5097, kappa: 0.0089, kb_relative_information_score: 67.3354, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5096, predictive_accuracy: 0.5097, prior_entropy: 0.9924, recall: 0.5097, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5622, kappa: 0.1668, kb_relative_information_score: 3174.1342, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6359, predictive_accuracy: 0.6119, prior_entropy: 0.9924, recall: 0.6119, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.623, root_relative_squared_error: 1.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5092, kappa: 0.008, kb_relative_information_score: 53.1213, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5092, predictive_accuracy: 0.5093, prior_entropy: 0.9924, recall: 0.5093, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7005, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9035, kappa: 0.8049, kb_relative_information_score: 12047.8012, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9035, predictive_accuracy: 0.9036, prior_entropy: 0.9924, recall: 0.9036, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3929, kappa: 0.0013, kb_relative_information_score: 1344.5749, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7528, predictive_accuracy: 0.5517, prior_entropy: 0.9924, recall: 0.5517, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6695, root_relative_squared_error: 1.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5503, kappa: 0.1684, kb_relative_information_score: 3312.2141, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6729, predictive_accuracy: 0.6164, prior_entropy: 0.9924, recall: 0.6164, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6193, root_relative_squared_error: 1.2452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5624, kappa: 0.1155, kb_relative_information_score: 1669.4689, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5624, predictive_accuracy: 0.5624, prior_entropy: 0.9924, recall: 0.5624, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.5433, kappa: 0.1258, kb_relative_information_score: 2566.9885, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5998, predictive_accuracy: 0.5919, prior_entropy: 0.9924, recall: 0.5919, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6388, root_relative_squared_error: 1.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5624, kappa: 0.1143, kb_relative_information_score: 1691.8053, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5619, predictive_accuracy: 0.5632, prior_entropy: 0.9924, recall: 0.5632, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6609, root_relative_squared_error: 1.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, 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: 0.8945, f_measure: 0.8964, kappa: 0.7905, kb_relative_information_score: 11832.5589, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8965, predictive_accuracy: 0.8965, prior_entropy: 0.9924, recall: 0.8965, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5434, kappa: 0.1261, kb_relative_information_score: 2571.0497, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6, predictive_accuracy: 0.5921, prior_entropy: 0.9924, recall: 0.5921, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 1326.2996, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.67, root_relative_squared_error: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5647, kappa: 0.1548, kb_relative_information_score: 2904.066, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6103, predictive_accuracy: 0.603, prior_entropy: 0.9924, recall: 0.603, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6301, root_relative_squared_error: 1.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5363, kappa: 0.0626, kb_relative_information_score: 877.5398, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5362, predictive_accuracy: 0.5364, prior_entropy: 0.9924, recall: 0.5364, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6809, root_relative_squared_error: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4113, kappa: 0.0107, kb_relative_information_score: 1417.676, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5656, predictive_accuracy: 0.5541, prior_entropy: 0.9924, recall: 0.5541, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6677, root_relative_squared_error: 1.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.5323, kappa: 0.0542, kb_relative_information_score: 757.7351, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5321, predictive_accuracy: 0.5324, prior_entropy: 0.9924, recall: 0.5324, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6838, root_relative_squared_error: 1.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.805, kappa: 0.6048, kb_relative_information_score: 9105.48, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8089, predictive_accuracy: 0.8069, prior_entropy: 0.9924, recall: 0.8069, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.89, kappa: 0.7775, kb_relative_information_score: 11639.6531, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 0.9924, recall: 0.8902, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 1326.2996, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.67, root_relative_squared_error: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.805, kappa: 0.605, kb_relative_information_score: 9119.6941, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8106, predictive_accuracy: 0.8073, prior_entropy: 0.9924, recall: 0.8073, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8833, kappa: 0.7639, kb_relative_information_score: 11434.5638, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8834, predictive_accuracy: 0.8834, prior_entropy: 0.9924, recall: 0.8834, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8915, kappa: 0.7805, kb_relative_information_score: 11680.2649, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8914, predictive_accuracy: 0.8915, prior_entropy: 0.9924, recall: 0.8915, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5354, kappa: 0.1215, kb_relative_information_score: 2562.9273, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6054, predictive_accuracy: 0.5918, prior_entropy: 0.9924, recall: 0.5918, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.7479, kappa: 0.4905, kb_relative_information_score: 7472.8877, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7591, predictive_accuracy: 0.7532, prior_entropy: 0.9924, recall: 0.7532, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.5561, kappa: 0.1009, kb_relative_information_score: 1525.2972, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5553, predictive_accuracy: 0.5577, prior_entropy: 0.9924, recall: 0.5577, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5333, kappa: 0.086, kb_relative_information_score: 1864.4053, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5603, predictive_accuracy: 0.5688, prior_entropy: 0.9924, recall: 0.5688, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6566, root_relative_squared_error: 1.3202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6443, kappa: 0.2856, kb_relative_information_score: 4542.7501, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6599, predictive_accuracy: 0.6569, prior_entropy: 0.9924, recall: 0.6569, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.468, kappa: 0.0659, kb_relative_information_score: 2053.2499, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6263, predictive_accuracy: 0.575, prior_entropy: 0.9924, recall: 0.575, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.5173, kappa: 0.0239, kb_relative_information_score: 302.8835, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5171, predictive_accuracy: 0.5175, prior_entropy: 0.9924, recall: 0.5175, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.4462, kappa: 0.0457, kb_relative_information_score: 1829.8853, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.624, predictive_accuracy: 0.5677, prior_entropy: 0.9924, recall: 0.5677, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6575, root_relative_squared_error: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5744, kappa: 0.1852, kb_relative_information_score: 3409.6823, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6443, predictive_accuracy: 0.6196, prior_entropy: 0.9924, recall: 0.6196, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.24,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.5364, kappa: 0.063, kb_relative_information_score: 875.5092, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5364, predictive_accuracy: 0.5363, prior_entropy: 0.9924, recall: 0.5363, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6809, root_relative_squared_error: 1.3691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.5157, kappa: 0.0207, kb_relative_information_score: 254.1494, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5155, predictive_accuracy: 0.5159, prior_entropy: 0.9924, recall: 0.5159, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.5169, kappa: 0.0235, kb_relative_information_score: 282.5777, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5169, predictive_accuracy: 0.5168, prior_entropy: 0.9924, recall: 0.5168, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6951, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5485, kappa: 0.0874, kb_relative_information_score: 1247.1067, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5485, predictive_accuracy: 0.5485, prior_entropy: 0.9924, recall: 0.5485, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6719, root_relative_squared_error: 1.3509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.4292, kappa: 0.0393, kb_relative_information_score: 1805.5182, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.712, predictive_accuracy: 0.5669, prior_entropy: 0.9924, recall: 0.5669, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5649, kappa: 0.1619, kb_relative_information_score: 3048.2377, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6215, predictive_accuracy: 0.6077, prior_entropy: 0.9924, recall: 0.6077, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6263, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.5253, kappa: 0.1412, kb_relative_information_score: 3005.5954, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6803, predictive_accuracy: 0.6063, prior_entropy: 0.9924, recall: 0.6063, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6281, kappa: 0.2864, kb_relative_information_score: 4837.1853, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7166, predictive_accuracy: 0.6666, prior_entropy: 0.9924, recall: 0.6666, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8085, kappa: 0.6121, kb_relative_information_score: 9184.6729, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8096, predictive_accuracy: 0.8095, prior_entropy: 0.9924, recall: 0.8095, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5332, kappa: 0.0546, kb_relative_information_score: 828.8057, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5324, predictive_accuracy: 0.5348, prior_entropy: 0.9924, recall: 0.5348, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6414, kappa: 0.3, kb_relative_information_score: 4952.9287, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7017, predictive_accuracy: 0.6704, prior_entropy: 0.9924, recall: 0.6704, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1544,
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: 0.5917, f_measure: 0.5748, kappa: 0.1951, kb_relative_information_score: 3598.5269, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6646, 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: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.5287, kappa: 0.1177, kb_relative_information_score: 2552.7744, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6105, predictive_accuracy: 0.5915, prior_entropy: 0.9924, recall: 0.5915, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6392, root_relative_squared_error: 1.2851,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8882, kappa: 0.7739, kb_relative_information_score: 11582.7967, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.3947, kappa: 0.003, kb_relative_information_score: 1364.8808, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7122, predictive_accuracy: 0.5524, prior_entropy: 0.9924, recall: 0.5524, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.669, root_relative_squared_error: 1.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5818, kappa: 0.2032, kb_relative_information_score: 3685.8422, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6632, predictive_accuracy: 0.6287, prior_entropy: 0.9924, recall: 0.6287, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6093, root_relative_squared_error: 1.2251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.5607, kappa: 0.1288, kb_relative_information_score: 2384.2357, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5811, predictive_accuracy: 0.5859, prior_entropy: 0.9924, recall: 0.5859, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6435, root_relative_squared_error: 1.2938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5767, kappa: 0.1422, kb_relative_information_score: 2231.9416, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5767, predictive_accuracy: 0.5809, prior_entropy: 0.9924, recall: 0.5809, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6474, root_relative_squared_error: 1.3016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7021, kappa: 0.4022, kb_relative_information_score: 6254.5353, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7244, predictive_accuracy: 0.7132, prior_entropy: 0.9924, recall: 0.7132, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.5242, kappa: 0.1335, kb_relative_information_score: 2877.6684, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6597, predictive_accuracy: 0.6021, prior_entropy: 0.9924, recall: 0.6021, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6308, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.5401, kappa: 0.0699, kb_relative_information_score: 997.3444, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5398, predictive_accuracy: 0.5403, prior_entropy: 0.9924, recall: 0.5403, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.678, root_relative_squared_error: 1.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.4776, kappa: -0.056, kb_relative_information_score: -911.4077, mean_absolute_error: 0.5224, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4775, predictive_accuracy: 0.4776, prior_entropy: 0.9924, recall: 0.4776, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7228, root_relative_squared_error: 1.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6847, kappa: 0.3712, kb_relative_information_score: 5854.5096, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7164, predictive_accuracy: 0.7, prior_entropy: 0.9924, recall: 0.7, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5725, kappa: 0.1814, kb_relative_information_score: 3354.8564, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6413, predictive_accuracy: 0.6178, prior_entropy: 0.9924, recall: 0.6178, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6182, root_relative_squared_error: 1.2429,

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