Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

887 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7895, kappa: 0.5771, kb_relative_information_score: 0.4194, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7938, predictive_accuracy: 0.7889, prior_entropy: 0.9911, recall: 0.7889, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7628, kappa: 0.5192, kb_relative_information_score: 0.0561, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9911, recall: 0.763, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8369, kappa: 0.6694, kb_relative_information_score: 0.5137, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9911, recall: 0.837, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8369, kappa: 0.6694, kb_relative_information_score: 0.5137, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9911, recall: 0.837, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7895, kappa: 0.5771, kb_relative_information_score: 0.4194, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7938, predictive_accuracy: 0.7889, prior_entropy: 0.9911, recall: 0.7889, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7628, kappa: 0.5192, kb_relative_information_score: 0.0561, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9911, recall: 0.763, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7542, kappa: 0.5008, kb_relative_information_score: 122.9621, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7549, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6857, kappa: 0.3651, kb_relative_information_score: 58.2095, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6867, predictive_accuracy: 0.6852, prior_entropy: 0.9912, recall: 0.6852, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8405, kappa: 0.6767, kb_relative_information_score: 146.1, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8405, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7691, kappa: 0.5311, kb_relative_information_score: 143.76, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7699, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7893, kappa: 0.5743, kb_relative_information_score: 137.395, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7902, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 162.2595, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8109, kappa: 0.6165, kb_relative_information_score: 132.8393, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 172.6933, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.785, kappa: 0.5643, kb_relative_information_score: 121.1424, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7849, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7663, kappa: 0.5263, kb_relative_information_score: 126.0103, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7662, predictive_accuracy: 0.7667, prior_entropy: 0.9912, recall: 0.7667, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7765, kappa: 0.5462, kb_relative_information_score: 143.9495, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7775, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 154.718, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7892, kappa: 0.5722, kb_relative_information_score: 139.8198, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7969, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8552, kappa: 0.7063, kb_relative_information_score: 172.2875, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8554, predictive_accuracy: 0.8556, prior_entropy: 0.9912, recall: 0.8556, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8512, kappa: 0.698, kb_relative_information_score: 170.6704, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8521, predictive_accuracy: 0.8519, prior_entropy: 0.9912, recall: 0.8519, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 137.875, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7991, kappa: 0.5923, kb_relative_information_score: 137.5427, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8365, kappa: 0.6683, kb_relative_information_score: 174.5403, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7814, kappa: 0.5571, kb_relative_information_score: 128.6925, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7813, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7983, kappa: 0.5902, kb_relative_information_score: 102.3613, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0044, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7884, kappa: 0.5707, kb_relative_information_score: 137.0581, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7884, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8102, kappa: 0.6146, kb_relative_information_score: 144.0145, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8111, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8168, kappa: 0.6278, kb_relative_information_score: 138.0956, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8203, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 156.2894, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 140.5144, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 169.8942, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.844, kappa: 0.6834, kb_relative_information_score: 184.4711, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9912, recall: 0.8444, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8625, kappa: 0.7209, kb_relative_information_score: 175.3059, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8632, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8259, kappa: 0.6472, kb_relative_information_score: 160.9306, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8258, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 180.4, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8369, kappa: 0.6694, kb_relative_information_score: 170.683, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8474, kappa: 0.6902, kb_relative_information_score: 186.5066, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9912, recall: 0.8481, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 140.5144, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7922, kappa: 0.5786, kb_relative_information_score: 102.9939, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4384, f_measure: 0.3934, kappa: -0.0148, kb_relative_information_score: -1.8694, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3068, predictive_accuracy: 0.5481, prior_entropy: 0.9912, recall: 0.5481, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7865, kappa: 0.5664, kb_relative_information_score: 123.5258, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7906, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7581, kappa: 0.5088, kb_relative_information_score: 137.6533, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7586, predictive_accuracy: 0.7593, prior_entropy: 0.9912, recall: 0.7593, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7394, kappa: 0.4715, kb_relative_information_score: 129.5111, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7479, predictive_accuracy: 0.7444, prior_entropy: 0.9912, recall: 0.7444, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7914, kappa: 0.5765, kb_relative_information_score: 155.9733, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7925, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 162.08, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.815, kappa: 0.6256, kb_relative_information_score: 168.1866, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8152, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8257, kappa: 0.6466, kb_relative_information_score: 174.2933, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7914, kappa: 0.5765, kb_relative_information_score: 155.9733, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7925, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.815, kappa: 0.6256, kb_relative_information_score: 168.1866, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8152, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7394, kappa: 0.4715, kb_relative_information_score: 129.5111, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7479, predictive_accuracy: 0.7444, prior_entropy: 0.9912, recall: 0.7444, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7914, kappa: 0.5765, kb_relative_information_score: 155.9733, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7925, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 162.08, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.815, kappa: 0.6256, kb_relative_information_score: 168.1866, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8152, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8257, kappa: 0.6466, kb_relative_information_score: 174.2933, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 160.9252, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8451, scimark_benchmark: 1918.4916, usercpu_time_millis: 812.5, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8074, kappa: 0.61, kb_relative_information_score: 141.6377, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8074, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8074, scimark_benchmark: 1931.8468, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1670.334, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6266, kappa: 0.2456, kb_relative_information_score: 64.3733, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6276, predictive_accuracy: 0.6259, prior_entropy: 0.9912, recall: 0.6259, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2309, scimark_benchmark: 1742.8208, usercpu_time_millis: 14500, usercpu_time_millis_training: 14500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 170.2222, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8573, scimark_benchmark: 1377.4309, usercpu_time_millis: 1312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 159.9863, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.794, scimark_benchmark: 1416.417, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1275.4712, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, scimark_benchmark: 1317.9384, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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