Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
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  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
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102456 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8312, kappa: 0.5305, kb_relative_information_score: 1662.2653, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8316, predictive_accuracy: 0.8395, prior_entropy: 0.8085, recall: 0.8395, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8192, kappa: 0.4888, kb_relative_information_score: 1325.126, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8277, predictive_accuracy: 0.8345, prior_entropy: 0.8085, recall: 0.8345, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.832, kappa: 0.5333, kb_relative_information_score: 1684.6101, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8322, predictive_accuracy: 0.84, prior_entropy: 0.8085, recall: 0.84, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8368, kappa: 0.5497, kb_relative_information_score: 1820.0876, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8357, predictive_accuracy: 0.8426, prior_entropy: 0.8085, recall: 0.8426, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8363, kappa: 0.5478, kb_relative_information_score: 1768.3404, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8354, predictive_accuracy: 0.8424, prior_entropy: 0.8085, recall: 0.8424, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8361, kappa: 0.5476, kb_relative_information_score: 1780.606, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8352, predictive_accuracy: 0.8422, prior_entropy: 0.8085, recall: 0.8422, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8347, kappa: 0.5431, kb_relative_information_score: 1759.328, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8338, predictive_accuracy: 0.8411, prior_entropy: 0.8085, recall: 0.8411, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8256, kappa: 0.5119, kb_relative_information_score: 1533.8024, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8363, prior_entropy: 0.8085, recall: 0.8363, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8335, kappa: 0.537, kb_relative_information_score: 1686.9089, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8339, predictive_accuracy: 0.8415, prior_entropy: 0.8085, recall: 0.8415, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8315, kappa: 0.5284, kb_relative_information_score: 1568.6273, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8343, predictive_accuracy: 0.8417, prior_entropy: 0.8085, recall: 0.8417, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8359, kappa: 0.5472, kb_relative_information_score: 1797.7071, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8348, predictive_accuracy: 0.8417, prior_entropy: 0.8085, recall: 0.8417, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8301, kappa: 0.5245, kb_relative_information_score: 1557.5399, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8327, predictive_accuracy: 0.8404, prior_entropy: 0.8085, recall: 0.8404, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.6454, kb_relative_information_score: 51.2533, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.835, kappa: 0.545, kb_relative_information_score: 1825.943, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8337, predictive_accuracy: 0.8406, prior_entropy: 0.8085, recall: 0.8406, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8354, kappa: 0.5459, kb_relative_information_score: 1826.6662, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8343, predictive_accuracy: 0.8413, prior_entropy: 0.8085, recall: 0.8413, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7675, kappa: 0.3321, kb_relative_information_score: 916.4642, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.804, predictive_accuracy: 0.8047, prior_entropy: 0.8085, recall: 0.8047, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8467, kappa: 0.5773, kb_relative_information_score: 1885.763, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.846, predictive_accuracy: 0.852, prior_entropy: 0.8085, recall: 0.852, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7514, scimark_benchmark: 1852.0126, usercpu_time_millis: 25.854, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 24.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8448, kappa: 0.5718, kb_relative_information_score: 1745.3584, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8441, predictive_accuracy: 0.8503, prior_entropy: 0.8085, recall: 0.8503, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7569, scimark_benchmark: 1851.8567, usercpu_time_millis: 4.872, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 4.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8414, kappa: 0.5544, kb_relative_information_score: 1461.0398, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8478, predictive_accuracy: 0.8525, prior_entropy: 0.8085, recall: 0.8525, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7726, scimark_benchmark: 1838.6023, usercpu_time_millis: 13.493, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 12.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8448, kappa: 0.5708, kb_relative_information_score: 1718.9404, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8446, predictive_accuracy: 0.8509, prior_entropy: 0.8085, recall: 0.8509, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7552, scimark_benchmark: 1848.7925, usercpu_time_millis: 23.798, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 21.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8477, kappa: 0.578, kb_relative_information_score: 1756.1633, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8481, predictive_accuracy: 0.8542, prior_entropy: 0.8085, recall: 0.8542, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7508, scimark_benchmark: 1829.1442, usercpu_time_millis: 6.093, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 5.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8477, kappa: 0.5795, kb_relative_information_score: 1807.9293, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8473, predictive_accuracy: 0.8534, prior_entropy: 0.8085, recall: 0.8534, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7494, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.909, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 7.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8422, kappa: 0.5641, kb_relative_information_score: 1880.127, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8416, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7528, scimark_benchmark: 1849.447, usercpu_time_millis: 16.439, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 15.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8459, kappa: 0.5748, kb_relative_information_score: 1848.0685, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8453, predictive_accuracy: 0.8514, prior_entropy: 0.8085, recall: 0.8514, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7494, scimark_benchmark: 1855.0232, usercpu_time_millis: 31.386, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 29.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.846, kappa: 0.5747, kb_relative_information_score: 1847.6854, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8455, predictive_accuracy: 0.8516, prior_entropy: 0.8085, recall: 0.8516, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.75, scimark_benchmark: 1851.8567, usercpu_time_millis: 17.967, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 16.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8477, kappa: 0.5774, kb_relative_information_score: 1696.1963, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8486, predictive_accuracy: 0.8547, prior_entropy: 0.8085, recall: 0.8547, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.753, scimark_benchmark: 1853.9121, usercpu_time_millis: 31.179, usercpu_time_millis_testing: 3.701, usercpu_time_millis_training: 27.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8462, kappa: 0.5761, kb_relative_information_score: 1836.1503, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8456, predictive_accuracy: 0.8516, prior_entropy: 0.8085, recall: 0.8516, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7511, scimark_benchmark: 1854.4951, usercpu_time_millis: 9.962, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 9.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8428, kappa: 0.5653, kb_relative_information_score: 1749.8087, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8424, predictive_accuracy: 0.849, prior_entropy: 0.8085, recall: 0.849, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7587, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.916, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8463, kappa: 0.5745, kb_relative_information_score: 1763.8441, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8463, predictive_accuracy: 0.8525, prior_entropy: 0.8085, recall: 0.8525, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.749, scimark_benchmark: 1731.6277, usercpu_time_millis: 35.184, usercpu_time_millis_testing: 3.381, usercpu_time_millis_training: 31.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8466, kappa: 0.5756, kb_relative_information_score: 1804.9213, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8465, predictive_accuracy: 0.8527, prior_entropy: 0.8085, recall: 0.8527, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.749, scimark_benchmark: 1807.4271, usercpu_time_millis: 7.806, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 7.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8446, kappa: 0.57, kb_relative_information_score: 1680.6701, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8444, predictive_accuracy: 0.8507, prior_entropy: 0.8085, recall: 0.8507, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.328, root_relative_squared_error: 0.7594, scimark_benchmark: 1850.2875, usercpu_time_millis: 18.137, usercpu_time_millis_testing: 2.029, usercpu_time_millis_training: 16.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8469, kappa: 0.5763, kb_relative_information_score: 1796.8542, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.847, predictive_accuracy: 0.8531, prior_entropy: 0.8085, recall: 0.8531, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7496, scimark_benchmark: 1856.0123, usercpu_time_millis: 17.243, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 15.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8481, kappa: 0.5796, kb_relative_information_score: 1806.3257, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8482, predictive_accuracy: 0.8542, prior_entropy: 0.8085, recall: 0.8542, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7482, scimark_benchmark: 1848.388, usercpu_time_millis: 36.179, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 32.814,

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