OpenML
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0011, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8862, kappa: 0.6765, kb_relative_information_score: 0.559, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8841, number_of_instances: 1156, precision: 0.8895, predictive_accuracy: 0.8841, prior_entropy: 0.7628, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6661, unweighted_recall: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.899, kappa: 0.7233, kb_relative_information_score: 0.6323, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8945, number_of_instances: 1156, precision: 0.9122, predictive_accuracy: 0.8945, prior_entropy: 0.7628, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.7516, unweighted_recall: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: -0.0003, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0055, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.9035, kappa: 0.7214, kb_relative_information_score: 0.6782, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9031, number_of_instances: 1156, precision: 0.904, predictive_accuracy: 0.9031, prior_entropy: 0.7628, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7496, unweighted_recall: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, kb_relative_information_score: 0.0564, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9342, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.9177, kappa: 0.7527, kb_relative_information_score: 0.7385, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9213, number_of_instances: 1156, precision: 0.9207, predictive_accuracy: 0.9213, prior_entropy: 0.7628, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.6757, unweighted_recall: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6837, kappa: 0.0061, kb_relative_information_score: 0.0181, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7794, number_of_instances: 1156, precision: 0.8281, predictive_accuracy: 0.7794, prior_entropy: 0.7628, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9952, unweighted_recall: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.8673, kappa: 0.5873, kb_relative_information_score: -0.0613, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8824, number_of_instances: 1156, precision: 0.8911, predictive_accuracy: 0.8824, prior_entropy: 0.7628, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.8679, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: -0.0008, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kb_relative_information_score: 0.0148, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0018, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.6996, kappa: 0.0537, kb_relative_information_score: 0.2894, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7863, number_of_instances: 1156, precision: 0.8323, predictive_accuracy: 0.7863, prior_entropy: 0.7628, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.1128, unweighted_recall: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8754, kappa: 0.6654, kb_relative_information_score: -0.0323, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8685, number_of_instances: 1156, precision: 0.8963, predictive_accuracy: 0.8685, prior_entropy: 0.7628, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8786, unweighted_recall: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8513, kappa: 0.5345, kb_relative_information_score: 0.5091, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8711, number_of_instances: 1156, precision: 0.8839, predictive_accuracy: 0.8711, prior_entropy: 0.7628, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7067, unweighted_recall: 0.7146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8513, kappa: 0.5345, kb_relative_information_score: 0.5091, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8711, number_of_instances: 1156, precision: 0.8839, predictive_accuracy: 0.8711, prior_entropy: 0.7628, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7067, unweighted_recall: 0.7146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9193, kappa: 0.7681, kb_relative_information_score: 0.6198, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9187, number_of_instances: 1156, precision: 0.9203, predictive_accuracy: 0.9187, prior_entropy: 0.7628, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.6404, unweighted_recall: 0.8905,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9078, kappa: 0.7232, kb_relative_information_score: 0.5709, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9118, number_of_instances: 1156, precision: 0.91, predictive_accuracy: 0.9118, prior_entropy: 0.7628, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6497, unweighted_recall: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.7773, kappa: 0.2945, kb_relative_information_score: 0.3483, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8244, number_of_instances: 1156, precision: 0.8498, predictive_accuracy: 0.8244, prior_entropy: 0.7628, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9769, unweighted_recall: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0011, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, kb_relative_information_score: 0.0681, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8995, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.001, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,

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