Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416603 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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416603 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.73, kappa: 0.3369, kb_relative_information_score: 0.3437, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.728, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1063, unweighted_recall: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.73, kappa: 0.3369, kb_relative_information_score: 0.2075, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.728, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9353, unweighted_recall: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.73, kappa: 0.3369, kb_relative_information_score: 0.3437, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.728, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1063, unweighted_recall: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7312, kappa: 0.3402, kb_relative_information_score: 0.3463, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4202, weighted_recall: 0.744, number_of_instances: 1000, precision: 0.7292, predictive_accuracy: 0.744, prior_entropy: 0.8813, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.506, root_relative_squared_error: 1.1041, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.078, unweighted_recall: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7158, kappa: 0.2968, kb_relative_information_score: 0.1795, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.7177, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.9053, unweighted_recall: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7338, kappa: 0.3504, kb_relative_information_score: 0.1998, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.7307, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.423, root_relative_squared_error: 0.923, unweighted_recall: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.727, kappa: 0.3299, kb_relative_information_score: 0.2, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4202, weighted_recall: 0.74, number_of_instances: 1000, precision: 0.7247, predictive_accuracy: 0.74, prior_entropy: 0.8813, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.9035, unweighted_recall: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7079, kappa: 0.2781, kb_relative_information_score: 0.1577, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4202, weighted_recall: 0.728, number_of_instances: 1000, precision: 0.7073, predictive_accuracy: 0.728, prior_entropy: 0.8813, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9152, unweighted_recall: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7464, kappa: 0.3769, kb_relative_information_score: 0.2, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4202, weighted_recall: 0.759, number_of_instances: 1000, precision: 0.746, predictive_accuracy: 0.759, prior_entropy: 0.8813, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8987, unweighted_recall: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.7205, kappa: 0.3182, kb_relative_information_score: 0.2079, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4202, weighted_recall: 0.73, number_of_instances: 1000, precision: 0.7168, predictive_accuracy: 0.73, prior_entropy: 0.8813, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9441, unweighted_recall: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7024, kappa: 0.2608, kb_relative_information_score: 0.1655, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7113, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9097, unweighted_recall: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7066, kappa: 0.2747, kb_relative_information_score: 0.1377, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4202, weighted_recall: 0.727, number_of_instances: 1000, precision: 0.7059, predictive_accuracy: 0.727, prior_entropy: 0.8813, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9302, unweighted_recall: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7123, kappa: 0.2865, kb_relative_information_score: 0.1693, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4202, weighted_recall: 0.738, number_of_instances: 1000, precision: 0.7182, predictive_accuracy: 0.738, prior_entropy: 0.8813, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.9022, unweighted_recall: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7368, kappa: 0.3522, kb_relative_information_score: 0.2024, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, weighted_recall: 0.751, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.751, prior_entropy: 0.8813, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, unweighted_recall: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7352, kappa: 0.3556, kb_relative_information_score: 0.2239, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.732, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9194, unweighted_recall: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7232, kappa: 0.3219, kb_relative_information_score: 0.1899, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4202, weighted_recall: 0.735, number_of_instances: 1000, precision: 0.7201, predictive_accuracy: 0.735, prior_entropy: 0.8813, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9123, unweighted_recall: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7331, kappa: 0.3477, kb_relative_information_score: 0.235, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.7301, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9171, unweighted_recall: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7121, kappa: 0.2861, kb_relative_information_score: 0.157, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.717, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9099, unweighted_recall: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7107, kappa: 0.2901, kb_relative_information_score: 0.1989, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4202, weighted_recall: 0.724, number_of_instances: 1000, precision: 0.707, predictive_accuracy: 0.724, prior_entropy: 0.8813, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.918, unweighted_recall: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7096, kappa: 0.2946, kb_relative_information_score: 0.2028, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4202, weighted_recall: 0.717, number_of_instances: 1000, precision: 0.7055, predictive_accuracy: 0.717, prior_entropy: 0.8813, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9803, unweighted_recall: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7036, kappa: 0.2666, kb_relative_information_score: 0.1499, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4202, weighted_recall: 0.726, number_of_instances: 1000, precision: 0.7039, predictive_accuracy: 0.726, prior_entropy: 0.8813, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9131, unweighted_recall: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7069, kappa: 0.2835, kb_relative_information_score: 0.1982, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4202, weighted_recall: 0.718, number_of_instances: 1000, precision: 0.7025, predictive_accuracy: 0.718, prior_entropy: 0.8813, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9399, unweighted_recall: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7275, kappa: 0.3295, kb_relative_information_score: 0.2045, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4202, weighted_recall: 0.742, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.742, prior_entropy: 0.8813, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9246, unweighted_recall: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7295, kappa: 0.3299, kb_relative_information_score: 0.1574, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4202, weighted_recall: 0.751, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.751, prior_entropy: 0.8813, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9133, unweighted_recall: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7093, kappa: 0.2857, kb_relative_information_score: 0.1727, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, weighted_recall: 0.724, number_of_instances: 1000, precision: 0.706, predictive_accuracy: 0.724, prior_entropy: 0.8813, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9295, unweighted_recall: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.7231, kappa: 0.3237, kb_relative_information_score: 0.191, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7195, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9378, unweighted_recall: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7246, kappa: 0.3351, kb_relative_information_score: 0.2309, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4202, weighted_recall: 0.729, number_of_instances: 1000, precision: 0.7216, predictive_accuracy: 0.729, prior_entropy: 0.8813, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9669, unweighted_recall: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7182, kappa: 0.3069, kb_relative_information_score: 0.1905, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7158, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9154, unweighted_recall: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7224, kappa: 0.3191, kb_relative_information_score: 0.2018, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4202, weighted_recall: 0.735, number_of_instances: 1000, precision: 0.7195, predictive_accuracy: 0.735, prior_entropy: 0.8813, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9103, unweighted_recall: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.6875, kappa: 0.2245, kb_relative_information_score: 0.1181, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4202, weighted_recall: 0.732, number_of_instances: 1000, precision: 0.7128, predictive_accuracy: 0.732, prior_entropy: 0.8813, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.921, unweighted_recall: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7276, kappa: 0.3352, kb_relative_information_score: 0.2184, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.7242, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9204, unweighted_recall: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7351, kappa: 0.3563, kb_relative_information_score: 0.231, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4202, weighted_recall: 0.742, number_of_instances: 1000, precision: 0.7318, predictive_accuracy: 0.742, prior_entropy: 0.8813, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9338, unweighted_recall: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7346, kappa: 0.3462, kb_relative_information_score: 0.205, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4202, weighted_recall: 0.75, number_of_instances: 1000, precision: 0.7348, predictive_accuracy: 0.75, prior_entropy: 0.8813, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9024, unweighted_recall: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7122, kappa: 0.2887, kb_relative_information_score: 0.1564, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4202, weighted_recall: 0.732, number_of_instances: 1000, precision: 0.7121, predictive_accuracy: 0.732, prior_entropy: 0.8813, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9105, unweighted_recall: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7056, kappa: 0.2686, kb_relative_information_score: 0.14, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.717, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9139, unweighted_recall: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7279, kappa: 0.3318, kb_relative_information_score: 0.215, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4202, weighted_recall: 0.741, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.741, prior_entropy: 0.8813, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9124, unweighted_recall: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7432, kappa: 0.3712, kb_relative_information_score: 0.2222, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4202, weighted_recall: 0.754, number_of_instances: 1000, precision: 0.7414, predictive_accuracy: 0.754, prior_entropy: 0.8813, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9085, unweighted_recall: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7227, kappa: 0.3294, kb_relative_information_score: 0.2122, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4202, weighted_recall: 0.728, number_of_instances: 1000, precision: 0.7194, predictive_accuracy: 0.728, prior_entropy: 0.8813, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9492, unweighted_recall: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.709, kappa: 0.2823, kb_relative_information_score: 0.1829, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4202, weighted_recall: 0.727, number_of_instances: 1000, precision: 0.7072, predictive_accuracy: 0.727, prior_entropy: 0.8813, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9176, unweighted_recall: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6718, kappa: 0.1885, kb_relative_information_score: 0.1135, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4202, weighted_recall: 0.727, number_of_instances: 1000, precision: 0.7089, predictive_accuracy: 0.727, prior_entropy: 0.8813, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9237, unweighted_recall: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7207, kappa: 0.3144, kb_relative_information_score: 0.186, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4202, weighted_recall: 0.734, number_of_instances: 1000, precision: 0.7179, predictive_accuracy: 0.734, prior_entropy: 0.8813, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9297, unweighted_recall: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7338, kappa: 0.3459, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, weighted_recall: 0.747, number_of_instances: 1000, precision: 0.7323, predictive_accuracy: 0.747, prior_entropy: 0.8813, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9, unweighted_recall: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7219, kappa: 0.3149, kb_relative_information_score: 0.1854, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4202, weighted_recall: 0.738, number_of_instances: 1000, precision: 0.7207, predictive_accuracy: 0.738, prior_entropy: 0.8813, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9086, unweighted_recall: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7298, kappa: 0.3305, kb_relative_information_score: 0.1877, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4202, weighted_recall: 0.752, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.752, prior_entropy: 0.8813, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8989, unweighted_recall: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.727, kappa: 0.3272, kb_relative_information_score: 0.1903, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.906, unweighted_recall: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7048, kappa: 0.2762, kb_relative_information_score: 0.1413, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4202, weighted_recall: 0.718, number_of_instances: 1000, precision: 0.7006, predictive_accuracy: 0.718, prior_entropy: 0.8813, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9558, unweighted_recall: 0.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7142, kappa: 0.305, kb_relative_information_score: 0.233, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4202, weighted_recall: 0.722, number_of_instances: 1000, precision: 0.7101, predictive_accuracy: 0.722, prior_entropy: 0.8813, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9464, unweighted_recall: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.6828, kappa: 0.212, kb_relative_information_score: 0.1347, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4202, weighted_recall: 0.722, number_of_instances: 1000, precision: 0.6952, predictive_accuracy: 0.722, prior_entropy: 0.8813, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9131, unweighted_recall: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7296, kappa: 0.3347, kb_relative_information_score: 0.2235, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4202, weighted_recall: 0.744, number_of_instances: 1000, precision: 0.7283, predictive_accuracy: 0.744, prior_entropy: 0.8813, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.916, unweighted_recall: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.7278, kappa: 0.3326, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4202, weighted_recall: 0.74, number_of_instances: 1000, precision: 0.7252, predictive_accuracy: 0.74, prior_entropy: 0.8813, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9083, unweighted_recall: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7355, kappa: 0.3497, kb_relative_information_score: 0.198, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, weighted_recall: 0.749, number_of_instances: 1000, precision: 0.7344, predictive_accuracy: 0.749, prior_entropy: 0.8813, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8978, unweighted_recall: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7247, kappa: 0.3201, kb_relative_information_score: 0.1687, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9042, unweighted_recall: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7206, kappa: 0.309, kb_relative_information_score: 0.1857, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4202, weighted_recall: 0.741, number_of_instances: 1000, precision: 0.7227, predictive_accuracy: 0.741, prior_entropy: 0.8813, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8975, unweighted_recall: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7114, kappa: 0.2869, kb_relative_information_score: 0.1671, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4202, weighted_recall: 0.731, number_of_instances: 1000, precision: 0.711, predictive_accuracy: 0.731, prior_entropy: 0.8813, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9122, unweighted_recall: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7325, kappa: 0.3427, kb_relative_information_score: 0.2034, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4202, weighted_recall: 0.746, number_of_instances: 1000, precision: 0.7311, predictive_accuracy: 0.746, prior_entropy: 0.8813, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8982, unweighted_recall: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.716, kappa: 0.3067, kb_relative_information_score: 0.1946, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, weighted_recall: 0.726, number_of_instances: 1000, precision: 0.7121, predictive_accuracy: 0.726, prior_entropy: 0.8813, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.92, unweighted_recall: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.719, kappa: 0.3126, kb_relative_information_score: 0.2162, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4202, weighted_recall: 0.73, number_of_instances: 1000, precision: 0.7154, predictive_accuracy: 0.73, prior_entropy: 0.8813, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9319, unweighted_recall: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7307, kappa: 0.3346, kb_relative_information_score: 0.1848, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4202, weighted_recall: 0.749, number_of_instances: 1000, precision: 0.7328, predictive_accuracy: 0.749, prior_entropy: 0.8813, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8986, unweighted_recall: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6909, kappa: 0.2321, kb_relative_information_score: 0.119, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4202, weighted_recall: 0.726, number_of_instances: 1000, precision: 0.7012, predictive_accuracy: 0.726, prior_entropy: 0.8813, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9274, unweighted_recall: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.709, kappa: 0.2823, kb_relative_information_score: 0.1613, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4202, weighted_recall: 0.727, number_of_instances: 1000, precision: 0.7072, predictive_accuracy: 0.727, prior_entropy: 0.8813, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9151, unweighted_recall: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7249, kappa: 0.3256, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.722, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.9115, unweighted_recall: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7363, kappa: 0.3501, kb_relative_information_score: 0.1908, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4202, weighted_recall: 0.752, number_of_instances: 1000, precision: 0.737, predictive_accuracy: 0.752, prior_entropy: 0.8813, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8993, unweighted_recall: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7211, kappa: 0.3168, kb_relative_information_score: 0.1929, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7179, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9187, unweighted_recall: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.6883, kappa: 0.2259, kb_relative_information_score: 0.1237, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4202, weighted_recall: 0.73, number_of_instances: 1000, precision: 0.7083, predictive_accuracy: 0.73, prior_entropy: 0.8813, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9203, unweighted_recall: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7337, kappa: 0.3467, kb_relative_information_score: 0.2109, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4202, weighted_recall: 0.746, number_of_instances: 1000, precision: 0.7317, predictive_accuracy: 0.746, prior_entropy: 0.8813, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9002, unweighted_recall: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7262, kappa: 0.328, kb_relative_information_score: 0.2084, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4202, weighted_recall: 0.739, number_of_instances: 1000, precision: 0.7237, predictive_accuracy: 0.739, prior_entropy: 0.8813, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9046, unweighted_recall: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7369, kappa: 0.3566, kb_relative_information_score: 0.2091, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4202, weighted_recall: 0.747, number_of_instances: 1000, precision: 0.7342, predictive_accuracy: 0.747, prior_entropy: 0.8813, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.902, unweighted_recall: 0.6669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7102, kappa: 0.2876, kb_relative_information_score: 0.1806, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, weighted_recall: 0.725, number_of_instances: 1000, precision: 0.7069, predictive_accuracy: 0.725, prior_entropy: 0.8813, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9096, unweighted_recall: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.6811, kappa: 0.2098, kb_relative_information_score: 0.127, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4202, weighted_recall: 0.707, number_of_instances: 1000, precision: 0.679, predictive_accuracy: 0.707, prior_entropy: 0.8813, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9335, unweighted_recall: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7211, kappa: 0.3168, kb_relative_information_score: 0.2014, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7179, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9303, unweighted_recall: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7435, kappa: 0.3692, kb_relative_information_score: 0.233, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4202, weighted_recall: 0.757, number_of_instances: 1000, precision: 0.7434, predictive_accuracy: 0.757, prior_entropy: 0.8813, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8898, unweighted_recall: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7079, kappa: 0.2801, kb_relative_information_score: 0.1591, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4202, weighted_recall: 0.725, number_of_instances: 1000, precision: 0.7054, predictive_accuracy: 0.725, prior_entropy: 0.8813, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9272, unweighted_recall: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.751, kappa: 0.3885, kb_relative_information_score: 0.2253, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4202, weighted_recall: 0.763, number_of_instances: 1000, precision: 0.7506, predictive_accuracy: 0.763, prior_entropy: 0.8813, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8896, unweighted_recall: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7247, kappa: 0.3283, kb_relative_information_score: 0.217, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4202, weighted_recall: 0.734, number_of_instances: 1000, precision: 0.7211, predictive_accuracy: 0.734, prior_entropy: 0.8813, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9204, unweighted_recall: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7256, kappa: 0.323, kb_relative_information_score: 0.181, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9057, unweighted_recall: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7249, kappa: 0.3229, kb_relative_information_score: 0.1937, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4202, weighted_recall: 0.74, number_of_instances: 1000, precision: 0.7235, predictive_accuracy: 0.74, prior_entropy: 0.8813, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9063, unweighted_recall: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7303, kappa: 0.3391, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4202, weighted_recall: 0.742, number_of_instances: 1000, precision: 0.7277, predictive_accuracy: 0.742, prior_entropy: 0.8813, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9096, unweighted_recall: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7202, kappa: 0.3101, kb_relative_information_score: 0.1905, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4202, weighted_recall: 0.737, number_of_instances: 1000, precision: 0.7192, predictive_accuracy: 0.737, prior_entropy: 0.8813, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9001, unweighted_recall: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7355, kappa: 0.3497, kb_relative_information_score: 0.2029, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4202, weighted_recall: 0.749, number_of_instances: 1000, precision: 0.7344, predictive_accuracy: 0.749, prior_entropy: 0.8813, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9017, unweighted_recall: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7477, kappa: 0.3795, kb_relative_information_score: 0.2098, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4202, weighted_recall: 0.761, number_of_instances: 1000, precision: 0.748, predictive_accuracy: 0.761, prior_entropy: 0.8813, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8948, unweighted_recall: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7279, kappa: 0.3318, kb_relative_information_score: 0.1815, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4202, weighted_recall: 0.741, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.741, prior_entropy: 0.8813, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9151, unweighted_recall: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7216, kappa: 0.3103, kb_relative_information_score: 0.1754, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4202, weighted_recall: 0.744, number_of_instances: 1000, precision: 0.7261, predictive_accuracy: 0.744, prior_entropy: 0.8813, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9011, unweighted_recall: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7118, kappa: 0.2976, kb_relative_information_score: 0.21, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4202, weighted_recall: 0.721, number_of_instances: 1000, precision: 0.7076, predictive_accuracy: 0.721, prior_entropy: 0.8813, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9478, unweighted_recall: 0.6407,

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

OpenML bootcamp

From your own software

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

OpenML APIs