OpenML
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 3724 Supervised Classification vinnie 747 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8342, kappa: 0.6683, kb_relative_information_score: 215.0953, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 173.2943, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7629, kappa: 0.5288, kb_relative_information_score: 88.7955, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7751, predictive_accuracy: 0.7658, prior_entropy: 0.9995, recall: 0.7658, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4819, kappa: -0.0053, kb_relative_information_score: -0.026, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.4972, predictive_accuracy: 0.5026, prior_entropy: 0.9995, recall: 0.5026, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8342, kappa: 0.6683, kb_relative_information_score: 215.0953, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8342, kappa: 0.6683, kb_relative_information_score: 215.0953, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 224.1978, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 214.4482, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 182.2046, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038, scimark_benchmark: 972.587,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.2266, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7774, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.7897, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.775, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3481, kb_relative_information_score: 9.632, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6977, root_relative_squared_error: 1.396, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 144.8401, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7405, scimark_benchmark: 935.8024, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 197.1357, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6968, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 213.2406, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 182.2046, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8369, kappa: 0.6735, kb_relative_information_score: 215.3746, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8369, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6897, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 253.8734, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8146, scimark_benchmark: 928.8135, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 212.6797, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6873, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 212.5699, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6924, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 212.5699, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6924, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 212.5699, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6924, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8393, kappa: 0.6784, kb_relative_information_score: 211.1778, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8398, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6852, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 219.9536, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6627, scimark_benchmark: 922.5036, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,

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