Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 18711 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.745, kappa: 0.486, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7632, kappa: 0.5224, kb_relative_information_score: 0.5222, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.4006, kappa: 0.0167, kb_relative_information_score: 0.0885, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6522, predictive_accuracy: 0.5489, prior_entropy: 0.9948, recall: 0.5489, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6716, root_relative_squared_error: 1.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.745, kappa: 0.486, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5225, kappa: 0.0382, kb_relative_information_score: 0.0351, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5225, predictive_accuracy: 0.5225, prior_entropy: 0.9948, recall: 0.5225, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5753, kappa: 0.1444, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5753, predictive_accuracy: 0.5753, prior_entropy: 0.9948, recall: 0.5753, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6517, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7379, kappa: 0.4724, kb_relative_information_score: 0.4791, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5753, kappa: 0.1444, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5753, predictive_accuracy: 0.5753, prior_entropy: 0.9948, recall: 0.5753, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6517, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5225, kappa: 0.0382, kb_relative_information_score: 0.0351, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5225, predictive_accuracy: 0.5225, prior_entropy: 0.9948, recall: 0.5225, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7716, kappa: 0.5394, kb_relative_information_score: 0.5394, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.76, kappa: 0.5159, kb_relative_information_score: 0.5162, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.678, kappa: 0.3509, kb_relative_information_score: 0.3498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6778, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7614, kappa: 0.5186, kb_relative_information_score: 0.5195, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7499, kappa: 0.4956, kb_relative_information_score: 0.4958, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 0.5442, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4972, kappa: -0.0132, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.497, predictive_accuracy: 0.4975, prior_entropy: 0.9948, recall: 0.4975, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7241, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7379, kappa: 0.4724, kb_relative_information_score: 0.4791, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5469, kappa: 0.1703, kb_relative_information_score: 0.2145, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.672, predictive_accuracy: 0.6113, prior_entropy: 0.9948, recall: 0.6113, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6235, root_relative_squared_error: 1.2514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4999, kappa: 0.0432, kb_relative_information_score: 0.0093, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5284, predictive_accuracy: 0.5097, prior_entropy: 0.9948, recall: 0.5097, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7737, kappa: 0.5434, kb_relative_information_score: 0.5442, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.4088, kappa: 0.0231, kb_relative_information_score: 0.0933, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6403, predictive_accuracy: 0.5513, prior_entropy: 0.9948, recall: 0.5513, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7241, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.678, kappa: 0.3509, kb_relative_information_score: 0.3498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6778, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7703, kappa: 0.5365, kb_relative_information_score: 0.5378, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6931, kappa: 0.3816, kb_relative_information_score: 0.3799, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.693, predictive_accuracy: 0.6931, prior_entropy: 0.9948, recall: 0.6931, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.618, kappa: 0.2305, kb_relative_information_score: 0.228, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.618, predictive_accuracy: 0.618, prior_entropy: 0.9948, recall: 0.618, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2406,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7607, kappa: 0.5171, kb_relative_information_score: 0.5178, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7322, kappa: 0.4603, kb_relative_information_score: 0.4591, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7321, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0384,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7287, kappa: 0.4535, kb_relative_information_score: 0.4597, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0379,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.613, kappa: 0.2628, kb_relative_information_score: 0.2943, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6956, predictive_accuracy: 0.6508, prior_entropy: 0.9948, recall: 0.6508, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1862,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.613, kappa: 0.2628, kb_relative_information_score: 0.2943, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6956, predictive_accuracy: 0.6508, prior_entropy: 0.9948, recall: 0.6508, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1862,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.5694, kappa: 0.1327, kb_relative_information_score: 0.13, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5694, predictive_accuracy: 0.5694, prior_entropy: 0.9948, recall: 0.5694, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.317,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7393, kappa: 0.4744, kb_relative_information_score: 0.4737, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7392, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.3978, kappa: 0.0141, kb_relative_information_score: 0.0863, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6479, predictive_accuracy: 0.5479, prior_entropy: 0.9948, recall: 0.5479, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7668, kappa: 0.5296, kb_relative_information_score: 0.5297, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.5739, kappa: 0.1958, kb_relative_information_score: 0.2323, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6561, predictive_accuracy: 0.6201, prior_entropy: 0.9948, recall: 0.6201, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7743, kappa: 0.5448, kb_relative_information_score: 0.5448, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7612, kappa: 0.5184, kb_relative_information_score: 0.5184, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7684, kappa: 0.5336, kb_relative_information_score: 0.5318, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5765, kappa: 0.2109, kb_relative_information_score: 0.2496, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6843, predictive_accuracy: 0.6286, prior_entropy: 0.9948, recall: 0.6286, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2232,

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