OpenML
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 146819 Supervised Classification climate-model-simulation-crashes 8775 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9609, kappa: 0.7364, kb_relative_information_score: 0.433, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1571, weighted_recall: 0.963, number_of_instances: 540, precision: 0.9609, predictive_accuracy: 0.963, prior_entropy: 0.4202, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6681, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9609, kappa: 0.7364, kb_relative_information_score: 0.435, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1571, weighted_recall: 0.963, number_of_instances: 540, precision: 0.9609, predictive_accuracy: 0.963, prior_entropy: 0.4202, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6691, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9559, kappa: 0.6968, kb_relative_information_score: 0.3582, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9593, number_of_instances: 540, precision: 0.9569, predictive_accuracy: 0.9593, prior_entropy: 0.4202, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6596, unweighted_recall: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9243, kappa: 0.4354, kb_relative_information_score: 0.1608, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9389, number_of_instances: 540, precision: 0.9386, predictive_accuracy: 0.9389, prior_entropy: 0.4202, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.7377, unweighted_recall: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9413, kappa: 0.5743, kb_relative_information_score: -0.2254, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1571, weighted_recall: 0.95, number_of_instances: 540, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 0.4202, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7578, unweighted_recall: 0.7164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9559, kappa: 0.6968, kb_relative_information_score: 0.3582, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9593, number_of_instances: 540, precision: 0.9569, predictive_accuracy: 0.9593, prior_entropy: 0.4202, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6596, unweighted_recall: 0.8003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9609, kappa: 0.7364, kb_relative_information_score: 0.435, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1571, weighted_recall: 0.963, number_of_instances: 540, precision: 0.9609, predictive_accuracy: 0.963, prior_entropy: 0.4202, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6691, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9626, kappa: 0.7468, kb_relative_information_score: 0.4131, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9648, number_of_instances: 540, precision: 0.9631, predictive_accuracy: 0.9648, prior_entropy: 0.4202, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6627, unweighted_recall: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9243, kappa: 0.4354, kb_relative_information_score: 0.1608, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9389, number_of_instances: 540, precision: 0.9386, predictive_accuracy: 0.9389, prior_entropy: 0.4202, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.7377, unweighted_recall: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kb_relative_information_score: -0.0035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9148, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4202, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9909, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9609, kappa: 0.7364, kb_relative_information_score: 0.4346, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1571, weighted_recall: 0.963, number_of_instances: 540, precision: 0.9609, predictive_accuracy: 0.963, prior_entropy: 0.4202, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6689, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9626, kappa: 0.7468, kb_relative_information_score: 0.4207, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9648, number_of_instances: 540, precision: 0.9631, predictive_accuracy: 0.9648, prior_entropy: 0.4202, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6626, unweighted_recall: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9536, kappa: 0.6793, kb_relative_information_score: 0.22, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1571, weighted_recall: 0.9574, number_of_instances: 540, precision: 0.9549, predictive_accuracy: 0.9574, prior_entropy: 0.4202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6756, unweighted_recall: 0.7894,

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