Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 9900 Supervised Classification abalone 144 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5869, kappa: 0.3994, kb_relative_information_score: 0.3213, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4441, weighted_recall: 0.6011, number_of_instances: 4177, precision: 0.5846, predictive_accuracy: 0.6011, prior_entropy: 1.584, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8675, unweighted_recall: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.5832, kappa: 0.3949, kb_relative_information_score: 0.3207, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5983, number_of_instances: 4177, precision: 0.5811, predictive_accuracy: 0.5983, prior_entropy: 1.584, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8678, unweighted_recall: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.6512, kappa: 0.4816, kb_relative_information_score: 0.4047, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4441, weighted_recall: 0.6548, number_of_instances: 4177, precision: 0.6498, predictive_accuracy: 0.6548, prior_entropy: 1.584, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8171, unweighted_recall: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.6512, kappa: 0.4816, kb_relative_information_score: 0.4047, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4441, weighted_recall: 0.6548, number_of_instances: 4177, precision: 0.6498, predictive_accuracy: 0.6548, prior_entropy: 1.584, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8171, unweighted_recall: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.5832, kappa: 0.3949, kb_relative_information_score: 0.3207, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5983, number_of_instances: 4177, precision: 0.5811, predictive_accuracy: 0.5983, prior_entropy: 1.584, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8678, unweighted_recall: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, kappa: 0.3566, kb_relative_information_score: 0.2831, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4441, weighted_recall: 0.577, number_of_instances: 4177, predictive_accuracy: 0.577, prior_entropy: 1.584, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9015, unweighted_recall: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.2817, kappa: 0.0402, kb_relative_information_score: 0.0531, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3615, number_of_instances: 4177, precision: 0.4955, predictive_accuracy: 0.3615, prior_entropy: 1.584, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0124, unweighted_recall: 0.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, kappa: 0.3434, kb_relative_information_score: 0.1168, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5686, number_of_instances: 4177, predictive_accuracy: 0.5686, prior_entropy: 1.584, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9522, unweighted_recall: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: 0.0007, kb_relative_information_score: 0.0013, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3469, number_of_instances: 4177, predictive_accuracy: 0.3469, prior_entropy: 1.584, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, kappa: 0.3485, kb_relative_information_score: 0.03, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5719, number_of_instances: 4177, predictive_accuracy: 0.5719, prior_entropy: 1.584, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9844, unweighted_recall: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, kappa: 0.1641, kb_relative_information_score: 0.0951, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4441, weighted_recall: 0.4491, number_of_instances: 4177, predictive_accuracy: 0.4491, prior_entropy: 1.584, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9778, unweighted_recall: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.4916, kappa: 0.2622, kb_relative_information_score: 0.0798, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5099, number_of_instances: 4177, precision: 0.4912, predictive_accuracy: 0.5099, prior_entropy: 1.584, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9674, unweighted_recall: 0.5054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, kappa: 0.3434, kb_relative_information_score: 0.1168, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5686, number_of_instances: 4177, predictive_accuracy: 0.5686, prior_entropy: 1.584, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9522, unweighted_recall: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.437, kappa: 0.2538, kb_relative_information_score: 0.0693, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4441, weighted_recall: 0.509, number_of_instances: 4177, precision: 0.4764, predictive_accuracy: 0.509, prior_entropy: 1.584, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9688, unweighted_recall: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.5622, kappa: 0.3678, kb_relative_information_score: 0.3189, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5803, number_of_instances: 4177, precision: 0.5606, predictive_accuracy: 0.5803, prior_entropy: 1.584, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8781, unweighted_recall: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.5622, kappa: 0.3678, kb_relative_information_score: 0.3189, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5803, number_of_instances: 4177, precision: 0.5606, predictive_accuracy: 0.5803, prior_entropy: 1.584, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8781, unweighted_recall: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.5683, kappa: 0.3751, kb_relative_information_score: 0.3274, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5851, number_of_instances: 4177, precision: 0.5668, predictive_accuracy: 0.5851, prior_entropy: 1.584, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8763, unweighted_recall: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4197, kappa: 0.2652, kb_relative_information_score: 0.0794, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5164, number_of_instances: 4177, precision: 0.3537, predictive_accuracy: 0.5164, prior_entropy: 1.584, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9663, unweighted_recall: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.5552, kappa: 0.3492, kb_relative_information_score: 0.3464, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5676, number_of_instances: 4177, precision: 0.5509, predictive_accuracy: 0.5676, prior_entropy: 1.584, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8911, unweighted_recall: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.5424, kappa: 0.3364, kb_relative_information_score: 0.3435, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5595, number_of_instances: 4177, precision: 0.5364, predictive_accuracy: 0.5595, prior_entropy: 1.584, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8827, unweighted_recall: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.5508, kappa: 0.3499, kb_relative_information_score: 0.3445, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5684, number_of_instances: 4177, precision: 0.5486, predictive_accuracy: 0.5684, prior_entropy: 1.584, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9003, unweighted_recall: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, kappa: 0.2724, kb_relative_information_score: 0.2071, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5212, number_of_instances: 4177, predictive_accuracy: 0.5212, prior_entropy: 1.584, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.951, unweighted_recall: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kappa: 0.3527, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5739, number_of_instances: 4177, predictive_accuracy: 0.5739, prior_entropy: 1.584, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9559, unweighted_recall: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.5276, kappa: 0.3336, kb_relative_information_score: 0.269, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4441, weighted_recall: 0.5583, number_of_instances: 4177, precision: 0.5306, predictive_accuracy: 0.5583, prior_entropy: 1.584, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8916, unweighted_recall: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4441, weighted_recall: 0.3464, number_of_instances: 4177, predictive_accuracy: 0.3464, prior_entropy: 1.584, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4712, root_relative_squared_error: 1, unweighted_recall: 0.3333,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6214, kappa: 0.4325, kb_relative_information_score: 1777.5841, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6244, predictive_accuracy: 0.6215, prior_entropy: 1.584, recall: 0.6215, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6214, kappa: 0.4325, kb_relative_information_score: 1777.5841, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6244, predictive_accuracy: 0.6215, prior_entropy: 1.584, recall: 0.6215, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6155, kappa: 0.4271, kb_relative_information_score: 1773.4144, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6133, predictive_accuracy: 0.6186, prior_entropy: 1.584, recall: 0.6186, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.5727, kappa: 0.368, kb_relative_information_score: 1746.5074, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.57, predictive_accuracy: 0.5791, prior_entropy: 1.584, recall: 0.5791, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.6246, kappa: 0.4369, kb_relative_information_score: 1505.8154, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6261, predictive_accuracy: 0.6246, prior_entropy: 1.584, recall: 0.6246, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.6249, kappa: 0.4373, kb_relative_information_score: 787.2652, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6264, predictive_accuracy: 0.6249, prior_entropy: 1.584, recall: 0.6249, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.5723, kappa: 0.3676, kb_relative_information_score: 1747.8696, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5696, predictive_accuracy: 0.5789, prior_entropy: 1.584, recall: 0.5789, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6416, kappa: 0.4635, kb_relative_information_score: 1779.2781, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6406, predictive_accuracy: 0.6428, prior_entropy: 1.584, recall: 0.6428, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6249, kappa: 0.4373, kb_relative_information_score: 1506.4467, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6264, predictive_accuracy: 0.6249, prior_entropy: 1.584, recall: 0.6249, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.5953, kappa: 0.3954, kb_relative_information_score: 1422.2845, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5952, predictive_accuracy: 0.5971, prior_entropy: 1.584, recall: 0.5971, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.5855, kappa: 0.3825, kb_relative_information_score: 1787.1191, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.5868, predictive_accuracy: 0.5882, prior_entropy: 1.584, recall: 0.5882, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9662,

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