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: 0.9637, f_measure: 0.9213, kappa: 0.7776, kb_relative_information_score: 0.5266, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9196, number_of_instances: 1156, precision: 0.9252, predictive_accuracy: 0.9196, prior_entropy: 0.7628, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6275, unweighted_recall: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9213, kappa: 0.7776, kb_relative_information_score: 0.5266, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9196, number_of_instances: 1156, precision: 0.9252, predictive_accuracy: 0.9196, prior_entropy: 0.7628, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6275, unweighted_recall: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9213, kappa: 0.7776, kb_relative_information_score: 0.5266, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9196, number_of_instances: 1156, precision: 0.9252, predictive_accuracy: 0.9196, prior_entropy: 0.7628, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6275, unweighted_recall: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, 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: 0.999, 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: 0.5047, kb_relative_information_score: 0.0084, mean_absolute_error: 0.3416, 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: 0.9899, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0001, 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: 0.9469, 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: 0.7753, kb_relative_information_score: -0.2082, mean_absolute_error: 0.3721, 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: 1.0783, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0028, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9158, kappa: 0.7575, kb_relative_information_score: 0.6483, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9152, number_of_instances: 1156, precision: 0.9166, predictive_accuracy: 0.9152, prior_entropy: 0.7628, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.6155, unweighted_recall: 0.8841,
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: -0.8558, mean_absolute_error: 0.5, 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: 1.4489, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2042, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9193, kappa: 0.7681, kb_relative_information_score: 0.0613, mean_absolute_error: 0.307, 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: 0.8895, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7987, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8132, kappa: 0.41, kb_relative_information_score: 0.4271, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3451, weighted_recall: 0.846, number_of_instances: 1156, precision: 0.867, predictive_accuracy: 0.846, prior_entropy: 0.7628, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7963, unweighted_recall: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8132, kappa: 0.41, kb_relative_information_score: 0.4271, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3451, weighted_recall: 0.846, number_of_instances: 1156, precision: 0.867, predictive_accuracy: 0.846, prior_entropy: 0.7628, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7963, unweighted_recall: 0.6551,
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: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, kb_relative_information_score: 0.0012, 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: 0.4953, 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: 0.1982, f_measure: 0.6825, kappa: 0.0068, kb_relative_information_score: -0.8528, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.3451, weighted_recall: 0.724, number_of_instances: 1156, precision: 0.6581, predictive_accuracy: 0.724, prior_entropy: 0.7628, relative_absolute_error: 1.4466, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.2023, unweighted_recall: 0.5027,
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: 0.0006, 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: 0.9426, f_measure: 0.9151, kappa: 0.7535, kb_relative_information_score: 0.5094, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9152, number_of_instances: 1156, precision: 0.915, predictive_accuracy: 0.9152, prior_entropy: 0.7628, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.6212, unweighted_recall: 0.8757,
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: 0.2414, f_measure: 0.0788, kappa: -0.065, kb_relative_information_score: -0.9003, mean_absolute_error: 0.512, mean_prior_absolute_error: 0.3451, weighted_recall: 0.1929, number_of_instances: 1156, precision: 0.1339, predictive_accuracy: 0.1929, prior_entropy: 0.7628, relative_absolute_error: 1.4837, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.2335, unweighted_recall: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9193, kappa: 0.7681, kb_relative_information_score: 0.0615, mean_absolute_error: 0.3069, 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: 0.8894, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7985, unweighted_recall: 0.8905,
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: 0.4953, 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: 0.873, f_measure: 0.8999, kappa: 0.7159, kb_relative_information_score: 0.6609, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8979, number_of_instances: 1156, precision: 0.9033, predictive_accuracy: 0.8979, prior_entropy: 0.7628, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7694, unweighted_recall: 0.873,
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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,
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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: 0.3965, kb_relative_information_score: 0.0002, 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: 0.9991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0001, 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: 0.911, f_measure: 0.9228, kappa: 0.7779, kb_relative_information_score: 0.0709, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9221, number_of_instances: 1156, precision: 0.9237, predictive_accuracy: 0.9221, prior_entropy: 0.7628, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7912, unweighted_recall: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 0.0178, 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: 0.9785, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.0005, 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: 0.9564, f_measure: 0.8244, kappa: 0.4467, kb_relative_information_score: 0.4792, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8529, number_of_instances: 1156, precision: 0.8706, predictive_accuracy: 0.8529, prior_entropy: 0.7628, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7759, unweighted_recall: 0.6722,
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,

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