OpenML
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18738 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.498, kappa: 0.3331, kb_relative_information_score: 0.3195, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5168, number_of_instances: 6118, precision: 0.4892, predictive_accuracy: 0.5168, prior_entropy: 2.3, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9094, unweighted_recall: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.5284, kappa: 0.3736, kb_relative_information_score: 0.3839, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5378, number_of_instances: 6118, precision: 0.5242, predictive_accuracy: 0.5378, prior_entropy: 2.3, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.9091, unweighted_recall: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.509, kappa: 0.3466, kb_relative_information_score: 0.3328, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5229, number_of_instances: 6118, precision: 0.5024, predictive_accuracy: 0.5229, prior_entropy: 2.3, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.912, unweighted_recall: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.5328, kappa: 0.3789, kb_relative_information_score: 0.4003, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5387, number_of_instances: 6118, precision: 0.5304, predictive_accuracy: 0.5387, prior_entropy: 2.3, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9333, unweighted_recall: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.5168, kappa: 0.3582, kb_relative_information_score: 0.36, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5306, number_of_instances: 6118, precision: 0.5091, predictive_accuracy: 0.5306, prior_entropy: 2.3, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9067, unweighted_recall: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.5249, kappa: 0.3684, kb_relative_information_score: 0.3736, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5351, number_of_instances: 6118, precision: 0.5201, predictive_accuracy: 0.5351, prior_entropy: 2.3, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.9075, unweighted_recall: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.5265, kappa: 0.3704, kb_relative_information_score: 0.3879, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5324, number_of_instances: 6118, precision: 0.5231, predictive_accuracy: 0.5324, prior_entropy: 2.3, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.9315, unweighted_recall: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.496, kappa: 0.3296, kb_relative_information_score: 0.3112, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2508, weighted_recall: 0.517, number_of_instances: 6118, precision: 0.4887, predictive_accuracy: 0.517, prior_entropy: 2.3, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9125, unweighted_recall: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5355, kappa: 0.3822, kb_relative_information_score: 0.4013, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5402, number_of_instances: 6118, precision: 0.5333, predictive_accuracy: 0.5402, prior_entropy: 2.3, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.332, root_relative_squared_error: 0.9377, unweighted_recall: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.5355, kappa: 0.3827, kb_relative_information_score: 0.3723, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5476, number_of_instances: 6118, precision: 0.5301, predictive_accuracy: 0.5476, prior_entropy: 2.3, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8999, unweighted_recall: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.5317, kappa: 0.3775, kb_relative_information_score: 0.388, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5394, number_of_instances: 6118, precision: 0.5279, predictive_accuracy: 0.5394, prior_entropy: 2.3, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9169, unweighted_recall: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.5213, kappa: 0.364, kb_relative_information_score: 0.3899, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2508, weighted_recall: 0.528, number_of_instances: 6118, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 2.3, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.9267, unweighted_recall: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.5403, kappa: 0.3892, kb_relative_information_score: 0.4139, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2508, weighted_recall: 0.543, number_of_instances: 6118, precision: 0.5392, predictive_accuracy: 0.543, prior_entropy: 2.3, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.94, unweighted_recall: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5398, kappa: 0.3879, kb_relative_information_score: 0.4067, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5422, number_of_instances: 6118, precision: 0.5387, predictive_accuracy: 0.5422, prior_entropy: 2.3, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9418, unweighted_recall: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.5303, kappa: 0.3752, kb_relative_information_score: 0.4098, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5315, number_of_instances: 6118, precision: 0.53, predictive_accuracy: 0.5315, prior_entropy: 2.3, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.9468, unweighted_recall: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.5198, kappa: 0.3624, kb_relative_information_score: 0.3516, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5358, number_of_instances: 6118, precision: 0.5123, predictive_accuracy: 0.5358, prior_entropy: 2.3, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8991, unweighted_recall: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.5385, kappa: 0.386, kb_relative_information_score: 0.42, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5378, number_of_instances: 6118, precision: 0.5401, predictive_accuracy: 0.5378, prior_entropy: 2.3, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.9981, unweighted_recall: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.4873, kappa: 0.3173, kb_relative_information_score: 0.2976, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5119, number_of_instances: 6118, precision: 0.481, predictive_accuracy: 0.5119, prior_entropy: 2.3, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9125, unweighted_recall: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.5293, kappa: 0.3741, kb_relative_information_score: 0.3896, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5343, number_of_instances: 6118, precision: 0.5266, predictive_accuracy: 0.5343, prior_entropy: 2.3, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9427, unweighted_recall: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.5212, kappa: 0.3635, kb_relative_information_score: 0.3652, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5322, number_of_instances: 6118, precision: 0.5149, predictive_accuracy: 0.5322, prior_entropy: 2.3, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.9154, unweighted_recall: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.5158, kappa: 0.356, kb_relative_information_score: 0.3698, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5255, number_of_instances: 6118, precision: 0.5105, predictive_accuracy: 0.5255, prior_entropy: 2.3, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9197, unweighted_recall: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.4969, kappa: 0.3309, kb_relative_information_score: 0.3275, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5137, number_of_instances: 6118, precision: 0.4892, predictive_accuracy: 0.5137, prior_entropy: 2.3, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.9182, unweighted_recall: 0.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.4956, kappa: 0.3287, kb_relative_information_score: 0.3169, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5144, number_of_instances: 6118, precision: 0.4887, predictive_accuracy: 0.5144, prior_entropy: 2.3, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9115, unweighted_recall: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.5206, kappa: 0.3627, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5315, number_of_instances: 6118, precision: 0.5146, predictive_accuracy: 0.5315, prior_entropy: 2.3, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9126, unweighted_recall: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.5137, kappa: 0.3536, kb_relative_information_score: 0.3571, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5291, number_of_instances: 6118, precision: 0.5079, predictive_accuracy: 0.5291, prior_entropy: 2.3, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9056, unweighted_recall: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5117, kappa: 0.3502, kb_relative_information_score: 0.3553, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5266, number_of_instances: 6118, precision: 0.5055, predictive_accuracy: 0.5266, prior_entropy: 2.3, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.9081, unweighted_recall: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.514, kappa: 0.3539, kb_relative_information_score: 0.3784, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5224, number_of_instances: 6118, precision: 0.5095, predictive_accuracy: 0.5224, prior_entropy: 2.3, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9278, unweighted_recall: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.4803, kappa: 0.3067, kb_relative_information_score: 0.2885, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5034, number_of_instances: 6118, precision: 0.4739, predictive_accuracy: 0.5034, prior_entropy: 2.3, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9169, unweighted_recall: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.5087, kappa: 0.3465, kb_relative_information_score: 0.3368, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.2508, weighted_recall: 0.523, number_of_instances: 6118, precision: 0.5018, predictive_accuracy: 0.523, prior_entropy: 2.3, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9103, unweighted_recall: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.5192, kappa: 0.3603, kb_relative_information_score: 0.379, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5278, number_of_instances: 6118, precision: 0.5137, predictive_accuracy: 0.5278, prior_entropy: 2.3, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9178, unweighted_recall: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.503, kappa: 0.339, kb_relative_information_score: 0.3237, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5221, number_of_instances: 6118, precision: 0.496, predictive_accuracy: 0.5221, prior_entropy: 2.3, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9055, unweighted_recall: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.4899, kappa: 0.3213, kb_relative_information_score: 0.3182, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5129, number_of_instances: 6118, precision: 0.4833, predictive_accuracy: 0.5129, prior_entropy: 2.3, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9105, unweighted_recall: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.5031, kappa: 0.3396, kb_relative_information_score: 0.3322, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5247, number_of_instances: 6118, precision: 0.4953, predictive_accuracy: 0.5247, prior_entropy: 2.3, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9047, unweighted_recall: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.5411, kappa: 0.3904, kb_relative_information_score: 0.4364, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5348, number_of_instances: 6118, precision: 0.5537, predictive_accuracy: 0.5348, prior_entropy: 2.3, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.9883, unweighted_recall: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5119, kappa: 0.3504, kb_relative_information_score: 0.376, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5193, number_of_instances: 6118, precision: 0.5091, predictive_accuracy: 0.5193, prior_entropy: 2.3, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9225, unweighted_recall: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.5378, kappa: 0.3856, kb_relative_information_score: 0.4075, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5433, number_of_instances: 6118, precision: 0.5344, predictive_accuracy: 0.5433, prior_entropy: 2.3, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.9297, unweighted_recall: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.4838, kappa: 0.3124, kb_relative_information_score: 0.3003, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2508, weighted_recall: 0.506, number_of_instances: 6118, precision: 0.4763, predictive_accuracy: 0.506, prior_entropy: 2.3, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9169, unweighted_recall: 0.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.5224, kappa: 0.3654, kb_relative_information_score: 0.3701, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5335, number_of_instances: 6118, precision: 0.516, predictive_accuracy: 0.5335, prior_entropy: 2.3, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9064, unweighted_recall: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.4867, kappa: 0.3171, kb_relative_information_score: 0.3087, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.2508, weighted_recall: 0.509, number_of_instances: 6118, precision: 0.4804, predictive_accuracy: 0.509, prior_entropy: 2.3, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9105, unweighted_recall: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5048, kappa: 0.3412, kb_relative_information_score: 0.3334, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5227, number_of_instances: 6118, precision: 0.4985, predictive_accuracy: 0.5227, prior_entropy: 2.3, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9061, unweighted_recall: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.515, kappa: 0.3552, kb_relative_information_score: 0.3483, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5317, number_of_instances: 6118, precision: 0.5075, predictive_accuracy: 0.5317, prior_entropy: 2.3, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9037, unweighted_recall: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.5216, kappa: 0.3644, kb_relative_information_score: 0.3737, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5329, number_of_instances: 6118, precision: 0.5152, predictive_accuracy: 0.5329, prior_entropy: 2.3, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9082, unweighted_recall: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.4988, kappa: 0.3334, kb_relative_information_score: 0.3231, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5185, number_of_instances: 6118, precision: 0.4915, predictive_accuracy: 0.5185, prior_entropy: 2.3, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9089, unweighted_recall: 0.3819,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.5026, kappa: 0.3397, kb_relative_information_score: 0.3291, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5191, number_of_instances: 6118, precision: 0.4951, predictive_accuracy: 0.5191, prior_entropy: 2.3, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.321, root_relative_squared_error: 0.9066, unweighted_recall: 0.3841,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.5186, kappa: 0.36, kb_relative_information_score: 0.3698, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5253, number_of_instances: 6118, precision: 0.5142, predictive_accuracy: 0.5253, prior_entropy: 2.3, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.9354, unweighted_recall: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.51, kappa: 0.3492, kb_relative_information_score: 0.3422, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5242, number_of_instances: 6118, precision: 0.5031, predictive_accuracy: 0.5242, prior_entropy: 2.3, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.9111, unweighted_recall: 0.3929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.5378, kappa: 0.3845, kb_relative_information_score: 0.4127, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5369, number_of_instances: 6118, precision: 0.5402, predictive_accuracy: 0.5369, prior_entropy: 2.3, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.9622, unweighted_recall: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.5249, kappa: 0.3685, kb_relative_information_score: 0.4174, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5265, number_of_instances: 6118, precision: 0.5259, predictive_accuracy: 0.5265, prior_entropy: 2.3, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.962, unweighted_recall: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.519, kappa: 0.3608, kb_relative_information_score: 0.3484, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5324, number_of_instances: 6118, precision: 0.5125, predictive_accuracy: 0.5324, prior_entropy: 2.3, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.9032, unweighted_recall: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.5187, kappa: 0.361, kb_relative_information_score: 0.3643, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5324, number_of_instances: 6118, precision: 0.5121, predictive_accuracy: 0.5324, prior_entropy: 2.3, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.9144, unweighted_recall: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5196, kappa: 0.3612, kb_relative_information_score: 0.3636, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5304, number_of_instances: 6118, precision: 0.5145, predictive_accuracy: 0.5304, prior_entropy: 2.3, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9149, unweighted_recall: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.5161, kappa: 0.3569, kb_relative_information_score: 0.367, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5276, number_of_instances: 6118, precision: 0.5111, predictive_accuracy: 0.5276, prior_entropy: 2.3, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9097, unweighted_recall: 0.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5221, kappa: 0.365, kb_relative_information_score: 0.3601, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.2508, weighted_recall: 0.535, number_of_instances: 6118, precision: 0.5159, predictive_accuracy: 0.535, prior_entropy: 2.3, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9014, unweighted_recall: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.5136, kappa: 0.3524, kb_relative_information_score: 0.3609, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5248, number_of_instances: 6118, precision: 0.5077, predictive_accuracy: 0.5248, prior_entropy: 2.3, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9101, unweighted_recall: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.5093, kappa: 0.3489, kb_relative_information_score: 0.3482, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5239, number_of_instances: 6118, precision: 0.5016, predictive_accuracy: 0.5239, prior_entropy: 2.3, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9067, unweighted_recall: 0.3902,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.4985, kappa: 0.3324, kb_relative_information_score: 0.3134, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5188, number_of_instances: 6118, precision: 0.4913, predictive_accuracy: 0.5188, prior_entropy: 2.3, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.912, unweighted_recall: 0.3824,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.5028, kappa: 0.3394, kb_relative_information_score: 0.3237, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5226, number_of_instances: 6118, precision: 0.4955, predictive_accuracy: 0.5226, prior_entropy: 2.3, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9039, unweighted_recall: 0.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.5397, kappa: 0.3879, kb_relative_information_score: 0.3986, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5467, number_of_instances: 6118, precision: 0.535, predictive_accuracy: 0.5467, prior_entropy: 2.3, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9207, unweighted_recall: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.5273, kappa: 0.3712, kb_relative_information_score: 0.3618, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5394, number_of_instances: 6118, precision: 0.5216, predictive_accuracy: 0.5394, prior_entropy: 2.3, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9044, unweighted_recall: 0.4166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.5122, kappa: 0.3513, kb_relative_information_score: 0.3538, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5278, number_of_instances: 6118, precision: 0.5053, predictive_accuracy: 0.5278, prior_entropy: 2.3, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.9091, unweighted_recall: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.5333, kappa: 0.3795, kb_relative_information_score: 0.3705, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5446, number_of_instances: 6118, precision: 0.5273, predictive_accuracy: 0.5446, prior_entropy: 2.3, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9029, unweighted_recall: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5232, kappa: 0.3663, kb_relative_information_score: 0.3812, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5297, number_of_instances: 6118, precision: 0.5193, predictive_accuracy: 0.5297, prior_entropy: 2.3, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.9187, unweighted_recall: 0.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5221, kappa: 0.3647, kb_relative_information_score: 0.3659, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5333, number_of_instances: 6118, precision: 0.5169, predictive_accuracy: 0.5333, prior_entropy: 2.3, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9103, unweighted_recall: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.5227, kappa: 0.3656, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5332, number_of_instances: 6118, precision: 0.5171, predictive_accuracy: 0.5332, prior_entropy: 2.3, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9159, unweighted_recall: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.5125, kappa: 0.3518, kb_relative_information_score: 0.3416, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5247, number_of_instances: 6118, precision: 0.5062, predictive_accuracy: 0.5247, prior_entropy: 2.3, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9127, unweighted_recall: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.4601, kappa: 0.2772, kb_relative_information_score: 0.2491, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4958, number_of_instances: 6118, precision: 0.461, predictive_accuracy: 0.4958, prior_entropy: 2.3, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9304, unweighted_recall: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.5171, kappa: 0.3592, kb_relative_information_score: 0.3478, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5333, number_of_instances: 6118, precision: 0.5108, predictive_accuracy: 0.5333, prior_entropy: 2.3, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.897, unweighted_recall: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.5382, kappa: 0.3859, kb_relative_information_score: 0.4119, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5386, number_of_instances: 6118, precision: 0.5392, predictive_accuracy: 0.5386, prior_entropy: 2.3, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.9642, unweighted_recall: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.5255, kappa: 0.3693, kb_relative_information_score: 0.3819, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.2508, weighted_recall: 0.532, number_of_instances: 6118, precision: 0.5209, predictive_accuracy: 0.532, prior_entropy: 2.3, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.9297, unweighted_recall: 0.4162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.5343, kappa: 0.3812, kb_relative_information_score: 0.3884, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5433, number_of_instances: 6118, precision: 0.5295, predictive_accuracy: 0.5433, prior_entropy: 2.3, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9121, unweighted_recall: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.5114, kappa: 0.3501, kb_relative_information_score: 0.3644, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5224, number_of_instances: 6118, precision: 0.5054, predictive_accuracy: 0.5224, prior_entropy: 2.3, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.325, root_relative_squared_error: 0.918, unweighted_recall: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.5058, kappa: 0.3428, kb_relative_information_score: 0.3316, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5244, number_of_instances: 6118, precision: 0.4988, predictive_accuracy: 0.5244, prior_entropy: 2.3, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.32, root_relative_squared_error: 0.9037, unweighted_recall: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.5148, kappa: 0.355, kb_relative_information_score: 0.3737, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2508, weighted_recall: 0.524, number_of_instances: 6118, precision: 0.5095, predictive_accuracy: 0.524, prior_entropy: 2.3, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9202, unweighted_recall: 0.4022,

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

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

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