OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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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,
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,
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,
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,
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,
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,
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,
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,
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,
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: 0.5663, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6853, kappa: 0.366, kb_relative_information_score: 0.3643, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6853, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.1258,
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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6853, kappa: 0.366, kb_relative_information_score: 0.3643, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6853, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.6236, kappa: 0.2663, kb_relative_information_score: 0.2916, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6713, predictive_accuracy: 0.6494, prior_entropy: 0.9948, recall: 0.6494, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5921, root_relative_squared_error: 1.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.4585, kappa: 0.0727, kb_relative_information_score: 0.1343, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.665, predictive_accuracy: 0.5716, prior_entropy: 0.9948, recall: 0.5716, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6545, root_relative_squared_error: 1.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5076, kappa: 0.0082, kb_relative_information_score: 0.005, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5076, predictive_accuracy: 0.5076, prior_entropy: 0.9948, recall: 0.5076, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7017, root_relative_squared_error: 1.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 0.5151, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.7325, kappa: 0.4609, kb_relative_information_score: 0.4597, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7324, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7714, kappa: 0.5388, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7722, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.6236, kappa: 0.2663, kb_relative_information_score: 0.2916, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6713, predictive_accuracy: 0.6494, prior_entropy: 0.9948, recall: 0.6494, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5921, root_relative_squared_error: 1.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7669, kappa: 0.5297, kb_relative_information_score: 0.5308, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9672,
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: 0.51, f_measure: 0.4064, kappa: 0.0215, kb_relative_information_score: 0.0923, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6477, predictive_accuracy: 0.5508, prior_entropy: 0.9948, recall: 0.5508, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3453,
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: 0.7368, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.769, kappa: 0.534, kb_relative_information_score: 0.5351, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7678, kappa: 0.5314, kb_relative_information_score: 0.5324, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, 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: 0.5663, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.4986, kappa: 0.1287, kb_relative_information_score: 0.1844, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7298, predictive_accuracy: 0.5964, prior_entropy: 0.9948, recall: 0.5964, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6353, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7349, kappa: 0.4655, kb_relative_information_score: 0.465, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7348, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6015, kappa: 0.2469, kb_relative_information_score: 0.2808, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6941, predictive_accuracy: 0.6441, prior_entropy: 0.9948, recall: 0.6441, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5966, root_relative_squared_error: 1.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.4629, kappa: 0.0778, kb_relative_information_score: 0.1386, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6682, predictive_accuracy: 0.5737, prior_entropy: 0.9948, recall: 0.5737, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6529, root_relative_squared_error: 1.3105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7186, kappa: 0.4345, kb_relative_information_score: 0.443, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.73, predictive_accuracy: 0.7243, prior_entropy: 0.9948, recall: 0.7243, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0538,
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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: 0.5, 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: 0.5533, f_measure: 0.4974, kappa: 0.114, kb_relative_information_score: 0.1682, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6692, predictive_accuracy: 0.5884, prior_entropy: 0.9948, recall: 0.5884, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6416, root_relative_squared_error: 1.2878,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.614, kappa: 0.2225, kb_relative_information_score: 0.2199, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.614, predictive_accuracy: 0.614, prior_entropy: 0.9948, recall: 0.614, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2471,
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: 0.7638, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 0.5302, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9678,
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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: 0.606, f_measure: 0.6087, kappa: 0.2119, kb_relative_information_score: 0.2092, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6088, predictive_accuracy: 0.6086, prior_entropy: 0.9948, recall: 0.6086, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2557,
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: 0.776, f_measure: 0.7797, kappa: 0.5554, kb_relative_information_score: 0.5566, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7807, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.636, kappa: 0.3063, kb_relative_information_score: 0.3358, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7267, predictive_accuracy: 0.6713, prior_entropy: 0.9948, recall: 0.6713, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5654, kappa: 0.1246, kb_relative_information_score: 0.1219, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5654, predictive_accuracy: 0.5654, prior_entropy: 0.9948, recall: 0.5654, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6592, root_relative_squared_error: 1.3231,
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: 0.5344, f_measure: 0.4595, kappa: 0.074, kb_relative_information_score: 0.1353, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6662, predictive_accuracy: 0.5721, prior_entropy: 0.9948, recall: 0.5721, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6541, root_relative_squared_error: 1.313,

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