Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 153165 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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153165 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.8301, kappa: 0.2699, kb_relative_information_score: 0.3395, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8363, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.8339, kappa: 0.286, kb_relative_information_score: 0.3551, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8427, predictive_accuracy: 0.8634, prior_entropy: 0.6212, recall: 0.8634, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3695, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.8292, kappa: 0.2649, kb_relative_information_score: 0.3395, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8365, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.8308, kappa: 0.2724, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.83, kappa: 0.2686, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8374, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.8316, kappa: 0.2761, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8391, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.8305, kappa: 0.2711, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8373, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8321, kappa: 0.2786, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.839, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.8297, kappa: 0.2674, kb_relative_information_score: 0.3395, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.8324, kappa: 0.2798, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8399, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8321, kappa: 0.2786, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.839, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.83, kappa: 0.2686, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8374, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.8316, kappa: 0.2761, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8391, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.8325, kappa: 0.281, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8389, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8304, kappa: 0.2699, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8383, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.8328, kappa: 0.2811, kb_relative_information_score: 0.3507, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8409, predictive_accuracy: 0.8625, prior_entropy: 0.6212, recall: 0.8625, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.8305, kappa: 0.2711, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8373, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.8344, kappa: 0.2885, kb_relative_information_score: 0.3551, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8425, predictive_accuracy: 0.8634, prior_entropy: 0.6212, recall: 0.8634, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3695, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.8289, kappa: 0.2637, kb_relative_information_score: 0.3372, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.6212, recall: 0.8596, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.8312, kappa: 0.2736, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8392, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.8317, kappa: 0.2773, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.838, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.832, kappa: 0.2773, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.84, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8293, kappa: 0.2662, kb_relative_information_score: 0.3372, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.6212, recall: 0.8596, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.8309, kappa: 0.2736, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8372, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.8324, kappa: 0.2798, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8399, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.83, kappa: 0.2686, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8374, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.8308, kappa: 0.2724, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.8305, kappa: 0.2711, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8373, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.8293, kappa: 0.2662, kb_relative_information_score: 0.3372, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.6212, recall: 0.8596, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0363,

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

OpenML APIs