Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 146820 Supervised Classification wilt 10946 runs submitted
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10946 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9649, kappa: 0.6366, kb_relative_information_score: 0.3084, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, unweighted_recall: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3271, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: -2.4799, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.4028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3276, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9672, kappa: 0.6656, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9686, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9686, prior_entropy: 0.3029, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6806, unweighted_recall: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9659, kappa: 0.6486, kb_relative_information_score: 0.323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9678, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9678, prior_entropy: 0.3029, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9469, kappa: 0.3926, kb_relative_information_score: 0.0929, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9566, number_of_instances: 4839, precision: 0.95, predictive_accuracy: 0.9566, prior_entropy: 0.3029, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7406, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -0.44, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9649, kappa: 0.6366, kb_relative_information_score: 0.3084, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, unweighted_recall: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9648, kappa: 0.6351, kb_relative_information_score: 0.307, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9669, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3029, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.6874, unweighted_recall: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3271, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: -2.4799, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.4028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9203, kappa: 0.0121, kb_relative_information_score: -0.3034, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9454, number_of_instances: 4839, precision: 0.9108, predictive_accuracy: 0.9454, prior_entropy: 0.3029, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.8669, unweighted_recall: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3276, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0753, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7405, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9672, kappa: 0.6656, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9686, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9686, prior_entropy: 0.3029, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6806, unweighted_recall: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9659, kappa: 0.6486, kb_relative_information_score: 0.323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9678, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9678, prior_entropy: 0.3029, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9469, kappa: 0.3926, kb_relative_information_score: 0.0929, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9566, number_of_instances: 4839, precision: 0.95, predictive_accuracy: 0.9566, prior_entropy: 0.3029, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7406, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9643, kappa: 0.6276, kb_relative_information_score: 0.2835, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9667, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9667, prior_entropy: 0.3029, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.69, unweighted_recall: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -0.44, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9643, kappa: 0.6276, kb_relative_information_score: 0.2835, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9667, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9667, prior_entropy: 0.3029, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.69, unweighted_recall: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9469, kappa: 0.3926, kb_relative_information_score: 0.0929, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9566, number_of_instances: 4839, precision: 0.95, predictive_accuracy: 0.9566, prior_entropy: 0.3029, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7406, unweighted_recall: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -0.44, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, kb_relative_information_score: -0.2975, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3281, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9659, kappa: 0.6486, kb_relative_information_score: 0.323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9678, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9678, prior_entropy: 0.3029, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9652, kappa: 0.6396, kb_relative_information_score: 0.3086, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9671, number_of_instances: 4839, precision: 0.9644, predictive_accuracy: 0.9671, prior_entropy: 0.3029, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6846, unweighted_recall: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9659, kappa: 0.6486, kb_relative_information_score: 0.323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9678, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9678, prior_entropy: 0.3029, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6865, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -0.44, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, kb_relative_information_score: -0.1704, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9946, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9667, kappa: 0.6574, kb_relative_information_score: 0.3276, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9684, number_of_instances: 4839, precision: 0.966, predictive_accuracy: 0.9684, prior_entropy: 0.3029, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6863, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.394, kb_relative_information_score: 0.0718, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9568, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9568, prior_entropy: 0.3029, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7416, unweighted_recall: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, kb_relative_information_score: -2.4799, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 1.4028, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, unweighted_recall: 0.5,

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