Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 23949 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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23949 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8696, kappa: 0.7363, kb_relative_information_score: 0.5599, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.494, weighted_recall: 0.8696, number_of_instances: 690, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9912, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6708, unweighted_recall: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8584, kappa: 0.7168, kb_relative_information_score: 0.5814, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.494, weighted_recall: 0.858, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.858, prior_entropy: 0.9912, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6608, unweighted_recall: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.6945, kappa: 0.3863, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.494, weighted_recall: 0.7072, number_of_instances: 690, precision: 0.7189, predictive_accuracy: 0.7072, prior_entropy: 0.9912, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9104, unweighted_recall: 0.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8376, kappa: 0.6712, kb_relative_information_score: 0.5565, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.494, weighted_recall: 0.8377, number_of_instances: 690, precision: 0.8376, predictive_accuracy: 0.8377, prior_entropy: 0.9912, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7033, unweighted_recall: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.841, kappa: 0.6795, kb_relative_information_score: 0.5442, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.494, weighted_recall: 0.8406, number_of_instances: 690, precision: 0.8431, predictive_accuracy: 0.8406, prior_entropy: 0.9912, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.712, unweighted_recall: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8583, kappa: 0.7172, kb_relative_information_score: 0.5949, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.494, weighted_recall: 0.858, number_of_instances: 690, precision: 0.8685, predictive_accuracy: 0.858, prior_entropy: 0.9912, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6583, unweighted_recall: 0.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8032, kappa: 0.6022, kb_relative_information_score: 0.4436, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.494, weighted_recall: 0.8029, number_of_instances: 690, precision: 0.8038, predictive_accuracy: 0.8029, prior_entropy: 0.9912, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7721, unweighted_recall: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8569, kappa: 0.7139, kb_relative_information_score: 0.5888, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6608, unweighted_recall: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8562, kappa: 0.7083, kb_relative_information_score: 0.525, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7062, unweighted_recall: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 0.5975, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.494, weighted_recall: 0.858, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9912, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6615, unweighted_recall: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 0.5727, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.494, weighted_recall: 0.8681, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9912, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6653, unweighted_recall: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 0.5661, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6845, unweighted_recall: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8641, kappa: 0.7265, kb_relative_information_score: 0.5957, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.494, weighted_recall: 0.8638, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8638, prior_entropy: 0.9912, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6518, unweighted_recall: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7977, kappa: 0.5947, kb_relative_information_score: 0.2217, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.494, weighted_recall: 0.7971, number_of_instances: 690, precision: 0.8042, predictive_accuracy: 0.7971, prior_entropy: 0.9912, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834, unweighted_recall: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 0.5747, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6802, unweighted_recall: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8569, kappa: 0.7137, kb_relative_information_score: 0.5967, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.654, unweighted_recall: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7382, kappa: 0.4702, kb_relative_information_score: 0.2341, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.494, weighted_recall: 0.7449, number_of_instances: 690, precision: 0.7519, predictive_accuracy: 0.7449, prior_entropy: 0.9912, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8895, unweighted_recall: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 0.5634, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6837, unweighted_recall: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7829, kappa: 0.561, kb_relative_information_score: 0.4209, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.494, weighted_recall: 0.7826, number_of_instances: 690, precision: 0.7833, predictive_accuracy: 0.7826, prior_entropy: 0.9912, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7878, unweighted_recall: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 0.5591, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6755, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8435, kappa: 0.6831, kb_relative_information_score: 0.5061, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.494, weighted_recall: 0.8435, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 0.9912, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.723, unweighted_recall: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.867, kappa: 0.732, kb_relative_information_score: 0.5993, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.494, weighted_recall: 0.8667, number_of_instances: 690, precision: 0.8691, predictive_accuracy: 0.8667, prior_entropy: 0.9912, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6498, unweighted_recall: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.3961, kappa: -0.0109, kb_relative_information_score: 0.0011, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, weighted_recall: 0.5493, number_of_instances: 690, precision: 0.3809, predictive_accuracy: 0.5493, prior_entropy: 0.9912, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, unweighted_recall: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8337, kappa: 0.6648, kb_relative_information_score: 0.4716, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.494, weighted_recall: 0.8333, number_of_instances: 690, precision: 0.8357, predictive_accuracy: 0.8333, prior_entropy: 0.9912, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7439, unweighted_recall: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7779, kappa: 0.5498, kb_relative_information_score: 0.3831, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.494, weighted_recall: 0.7783, number_of_instances: 690, precision: 0.7778, predictive_accuracy: 0.7783, prior_entropy: 0.9912, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8297, unweighted_recall: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8483, kappa: 0.6957, kb_relative_information_score: 0.5776, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.494, weighted_recall: 0.8478, number_of_instances: 690, precision: 0.8542, predictive_accuracy: 0.8478, prior_entropy: 0.9912, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6833, unweighted_recall: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 0.5621, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.494, weighted_recall: 0.8565, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9912, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6798, unweighted_recall: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8437, kappa: 0.6841, kb_relative_information_score: 0.5374, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.494, weighted_recall: 0.8435, number_of_instances: 690, precision: 0.8443, predictive_accuracy: 0.8435, prior_entropy: 0.9912, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7053, unweighted_recall: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7712, kappa: 0.537, kb_relative_information_score: 0.3533, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.494, weighted_recall: 0.771, number_of_instances: 690, precision: 0.7713, predictive_accuracy: 0.771, prior_entropy: 0.9912, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8429, unweighted_recall: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8627, kappa: 0.7231, kb_relative_information_score: 0.6214, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, weighted_recall: 0.8623, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.8623, prior_entropy: 0.9912, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6391, unweighted_recall: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8525, kappa: 0.7026, kb_relative_information_score: 0.626, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.494, weighted_recall: 0.8522, number_of_instances: 690, precision: 0.8543, predictive_accuracy: 0.8522, prior_entropy: 0.9912, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6629, unweighted_recall: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8525, kappa: 0.7026, kb_relative_information_score: 0.626, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.494, weighted_recall: 0.8522, number_of_instances: 690, precision: 0.8543, predictive_accuracy: 0.8522, prior_entropy: 0.9912, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.663, unweighted_recall: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 0.6315, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6465, unweighted_recall: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8627, kappa: 0.7231, kb_relative_information_score: 0.6214, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, weighted_recall: 0.8623, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.8623, prior_entropy: 0.9912, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6391, unweighted_recall: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8466, kappa: 0.6884, kb_relative_information_score: 0.3902, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.494, weighted_recall: 0.8478, number_of_instances: 690, precision: 0.8498, predictive_accuracy: 0.8478, prior_entropy: 0.9912, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7326, unweighted_recall: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 0.6315, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6465, unweighted_recall: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 0.6315, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6465, unweighted_recall: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8554, kappa: 0.7083, kb_relative_information_score: 0.6308, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.494, weighted_recall: 0.8551, number_of_instances: 690, precision: 0.8569, predictive_accuracy: 0.8551, prior_entropy: 0.9912, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6532, unweighted_recall: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8597, kappa: 0.7171, kb_relative_information_score: 0.6333, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, weighted_recall: 0.8594, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8594, prior_entropy: 0.9912, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6478, unweighted_recall: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8597, kappa: 0.7171, kb_relative_information_score: 0.6333, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, weighted_recall: 0.8594, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8594, prior_entropy: 0.9912, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6478, unweighted_recall: 0.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8597, kappa: 0.7171, kb_relative_information_score: 0.6333, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.494, weighted_recall: 0.8594, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8594, prior_entropy: 0.9912, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6478, unweighted_recall: 0.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8613, kappa: 0.7207, kb_relative_information_score: 0.5702, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, weighted_recall: 0.8609, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8609, prior_entropy: 0.9912, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.646, unweighted_recall: 0.8634,

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

OpenML bootcamp

From your own software

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

OpenML APIs