Task
Supervised Classification on credit-a

Supervised Classification on credit-a

Task 96 Supervised Classification credit-a 1305 runs submitted
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1305 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.6429, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8732, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6077, unweighted_recall: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8502, kappa: 0.7008, kb_relative_information_score: 0.6253, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8502, number_of_instances: 227, precision: 0.8524, predictive_accuracy: 0.8502, prior_entropy: 1.0024, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6092, unweighted_recall: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8767, kappa: 0.7533, kb_relative_information_score: 0.633, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8773, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6008, unweighted_recall: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8634, kappa: 0.7275, kb_relative_information_score: 0.6024, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8674, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6371, unweighted_recall: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8811, kappa: 0.762, kb_relative_information_score: 0.6333, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6073, unweighted_recall: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8855, kappa: 0.7712, kb_relative_information_score: 0.6249, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8877, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6063, unweighted_recall: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 0.6494, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5883, unweighted_recall: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8855, kappa: 0.7707, kb_relative_information_score: 0.6452, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8857, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6082, unweighted_recall: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8546, kappa: 0.7099, kb_relative_information_score: 0.631, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8546, number_of_instances: 227, precision: 0.8585, predictive_accuracy: 0.8546, prior_entropy: 1.0024, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6028, unweighted_recall: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8987, kappa: 0.7975, kb_relative_information_score: 0.6595, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8987, number_of_instances: 227, precision: 0.9004, predictive_accuracy: 0.8987, prior_entropy: 1.0024, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5761, unweighted_recall: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 0.6197, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, unweighted_recall: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8546, kappa: 0.7097, kb_relative_information_score: 0.5981, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8546, number_of_instances: 227, precision: 0.8573, predictive_accuracy: 0.8546, prior_entropy: 1.0024, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6269, unweighted_recall: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8679, kappa: 0.7355, kb_relative_information_score: 0.6143, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.868, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6149, unweighted_recall: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8722, kappa: 0.7449, kb_relative_information_score: 0.6048, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.875, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6268, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 0.603, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6219, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 0.6535, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.5988, unweighted_recall: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8634, kappa: 0.7275, kb_relative_information_score: 0.6477, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8674, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6303, unweighted_recall: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8811, kappa: 0.7618, kb_relative_information_score: 0.6351, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8811, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6122, unweighted_recall: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 0.6316, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.622, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8677, kappa: 0.7364, kb_relative_information_score: 0.613, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8725, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6279, unweighted_recall: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8767, kappa: 0.7533, kb_relative_information_score: 0.6308, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8773, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.5996, unweighted_recall: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7536, kb_relative_information_score: 0.6407, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8789, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.5997, unweighted_recall: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8766, kappa: 0.7538, kb_relative_information_score: 0.6409, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.88, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6112, unweighted_recall: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8502, kappa: 0.7008, kb_relative_information_score: 0.615, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8502, number_of_instances: 227, precision: 0.8524, predictive_accuracy: 0.8502, prior_entropy: 1.0024, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6219, unweighted_recall: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 0.5951, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.8732, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6412, unweighted_recall: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8811, kappa: 0.7625, kb_relative_information_score: 0.6332, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8838, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6015, unweighted_recall: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8855, kappa: 0.7712, kb_relative_information_score: 0.617, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8877, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6229, unweighted_recall: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8634, kappa: 0.7273, kb_relative_information_score: 0.616, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8662, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6336, unweighted_recall: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8855, kappa: 0.7709, kb_relative_information_score: 0.6429, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8861, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6005, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8767, kappa: 0.7533, kb_relative_information_score: 0.6222, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8773, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6197, unweighted_recall: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 0.6193, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6072, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8767, kappa: 0.7534, kb_relative_information_score: 0.6283, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6209, unweighted_recall: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 0.6335, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.87, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6096, unweighted_recall: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8722, kappa: 0.7449, kb_relative_information_score: 0.6354, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.875, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6048, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8678, kappa: 0.7362, kb_relative_information_score: 0.6163, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8712, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6303, unweighted_recall: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.859, kappa: 0.7186, kb_relative_information_score: 0.6194, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4978, weighted_recall: 0.859, number_of_instances: 227, precision: 0.8623, predictive_accuracy: 0.859, prior_entropy: 1.0024, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6276, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 0.5854, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6272, unweighted_recall: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8767, kappa: 0.7531, kb_relative_information_score: 0.6134, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8767, number_of_instances: 227, precision: 0.8769, predictive_accuracy: 0.8767, prior_entropy: 1.0024, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6193, unweighted_recall: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 0.6404, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6072, unweighted_recall: 0.8817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 0.664, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5752, unweighted_recall: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8722, kappa: 0.7449, kb_relative_information_score: 0.6015, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8722, number_of_instances: 227, precision: 0.875, predictive_accuracy: 0.8722, prior_entropy: 1.0024, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6346, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8283, kappa: 0.6564, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8282, number_of_instances: 227, precision: 0.8291, predictive_accuracy: 0.8282, prior_entropy: 1.0024, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8276, unweighted_recall: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 0.563, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8458, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 1.0024, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7044, unweighted_recall: 0.8457,

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