Task
Supervised Classification on fri_c2_500_25

Supervised Classification on fri_c2_500_25

Task 3743 Supervised Classification fri_c2_500_25 616 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8463, kappa: 0.6752, kb_relative_information_score: 298.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8476, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.6648, kappa: 0.2903, kb_relative_information_score: 79.1861, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6636, predictive_accuracy: 0.67, prior_entropy: 0.9664, recall: 0.67, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 92.9469, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 87.6825, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.865, kappa: 0.7137, kb_relative_information_score: 299.4283, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8721, predictive_accuracy: 0.868, prior_entropy: 0.9664, recall: 0.868, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5865, kappa: 0.1225, kb_relative_information_score: 36.122, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5838, predictive_accuracy: 0.598, prior_entropy: 0.9664, recall: 0.598, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5293, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8577, kappa: 0.7007, kb_relative_information_score: 349.1995, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8575, predictive_accuracy: 0.858, prior_entropy: 0.9664, recall: 0.858, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6656, kappa: 0.2913, kb_relative_information_score: 102.3909, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.672, prior_entropy: 0.9664, recall: 0.672, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8629, kappa: 0.7091, kb_relative_information_score: 286.2677, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.866, prior_entropy: 0.9664, recall: 0.866, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7421, kappa: 0.4592, kb_relative_information_score: 218.0348, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7422, predictive_accuracy: 0.742, prior_entropy: 0.9664, recall: 0.742, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7465, kappa: 0.4655, kb_relative_information_score: 90.1372, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7458, predictive_accuracy: 0.748, prior_entropy: 0.9664, recall: 0.748, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6018, kappa: 0.1546, kb_relative_information_score: 53.8563, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6011, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4882, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7465, kappa: 0.4655, kb_relative_information_score: 90.1372, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7458, predictive_accuracy: 0.748, prior_entropy: 0.9664, recall: 0.748, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.612, kappa: 0.1775, kb_relative_information_score: 89.6477, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6098, predictive_accuracy: 0.62, prior_entropy: 0.9664, recall: 0.62, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8614, kappa: 0.7081, kb_relative_information_score: 310.5722, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8614, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8326, kappa: 0.645, kb_relative_information_score: 195.6252, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.836, prior_entropy: 0.9664, recall: 0.836, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.4598, kb_relative_information_score: -0.1272, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4882, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8308, kappa: 0.643, kb_relative_information_score: 313.1925, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8308, kappa: 0.643, kb_relative_information_score: 313.1925, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7312, kappa: 0.4347, kb_relative_information_score: 152.8172, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7307, predictive_accuracy: 0.732, prior_entropy: 0.9664, recall: 0.732, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7309, kappa: 0.4337, kb_relative_information_score: 101.0764, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7303, predictive_accuracy: 0.732, prior_entropy: 0.9664, recall: 0.732, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8642, kappa: 0.7157, kb_relative_information_score: 337.6057, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 93.0447, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6148, kappa: 0.1851, kb_relative_information_score: 60.9789, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6125, predictive_accuracy: 0.62, prior_entropy: 0.9664, recall: 0.62, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8089, kappa: 0.5974, kb_relative_information_score: 266.2752, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8087, predictive_accuracy: 0.81, prior_entropy: 0.9664, recall: 0.81, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8642, kappa: 0.7157, kb_relative_information_score: 337.6057, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6811, kappa: 0.3247, kb_relative_information_score: 163.8177, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6802, predictive_accuracy: 0.686, prior_entropy: 0.9664, recall: 0.686, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5604, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7489, kappa: 0.4712, kb_relative_information_score: 232.3103, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7483, predictive_accuracy: 0.75, prior_entropy: 0.9664, recall: 0.75, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7489, kappa: 0.4712, kb_relative_information_score: 232.3103, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7483, predictive_accuracy: 0.75, prior_entropy: 0.9664, recall: 0.75, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6769, kappa: 0.3175, kb_relative_information_score: 88.0804, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6756, predictive_accuracy: 0.68, prior_entropy: 0.9664, recall: 0.68, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 93.0447, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6319, kappa: 0.2219, kb_relative_information_score: 49.4162, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6451, predictive_accuracy: 0.656, prior_entropy: 0.9664, recall: 0.656, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8193, kappa: 0.6196, kb_relative_information_score: 214.8284, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.819, predictive_accuracy: 0.82, prior_entropy: 0.9664, recall: 0.82, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8266, kappa: 0.6379, kb_relative_information_score: 313.6453, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8278, predictive_accuracy: 0.826, prior_entropy: 0.9664, recall: 0.826, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.854, kappa: 0.6912, kb_relative_information_score: 345.7512, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8563, predictive_accuracy: 0.856, prior_entropy: 0.9664, recall: 0.856, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.879, kappa: 0.7446, kb_relative_information_score: 371.436, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9664, recall: 0.88, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8623, kappa: 0.7089, kb_relative_information_score: 354.3128, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8643, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8596, kappa: 0.7027, kb_relative_information_score: 352.1724, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8636, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.6057, kappa: 0.1754, kb_relative_information_score: 118.8695, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.644, prior_entropy: 0.9664, recall: 0.644, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2222, scimark_benchmark: 1461.2356, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8669, kappa: 0.719, kb_relative_information_score: 358.5936, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9664, recall: 0.868, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7442, usercpu_time_millis: 129.27, usercpu_time_millis_testing: 57.98, usercpu_time_millis_training: 71.29,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8369, kappa: 0.6561, kb_relative_information_score: 292.3985, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.837, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7621, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8248, kappa: 0.6306, kb_relative_information_score: 276.422, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8248, predictive_accuracy: 0.826, prior_entropy: 0.9664, recall: 0.826, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7713, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.866, kappa: 0.7164, kb_relative_information_score: 222.1589, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8691, predictive_accuracy: 0.868, prior_entropy: 0.9664, recall: 0.868, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6967, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 92.9469, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9821, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8683, kappa: 0.7246, kb_relative_information_score: 341.7925, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8689, predictive_accuracy: 0.868, prior_entropy: 0.9664, recall: 0.868, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7168, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6067, kappa: 0.1657, kb_relative_information_score: 60.3545, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6045, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9664, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8463, kappa: 0.6752, kb_relative_information_score: 298.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8476, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7444, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7638, kappa: 0.51, kb_relative_information_score: 170.1279, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7683, predictive_accuracy: 0.762, prior_entropy: 0.9664, recall: 0.762, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8585, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8734, kappa: 0.7335, kb_relative_information_score: 349.3969, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8735, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5937, scimark_benchmark: 1834.908, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8734, kappa: 0.7335, kb_relative_information_score: 349.3969, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8735, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5937, scimark_benchmark: 1788.6668, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8493, kappa: 0.6827, kb_relative_information_score: 293.8008, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8492, predictive_accuracy: 0.85, prior_entropy: 0.9664, recall: 0.85, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.679, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8434, kappa: 0.6682, kb_relative_information_score: 278.6278, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8469, predictive_accuracy: 0.846, prior_entropy: 0.9664, recall: 0.846, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7215, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7798, kappa: 0.5438, kb_relative_information_score: 166.3013, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7849, predictive_accuracy: 0.778, prior_entropy: 0.9664, recall: 0.778, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8445, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6312, kappa: 0.2176, kb_relative_information_score: 50.1346, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6356, predictive_accuracy: 0.648, prior_entropy: 0.9664, recall: 0.648, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9589, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7489, kappa: 0.4712, kb_relative_information_score: 232.3103, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7483, predictive_accuracy: 0.75, prior_entropy: 0.9664, recall: 0.75, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0242, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.6298, kappa: 0.2173, kb_relative_information_score: 108.1675, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6277, predictive_accuracy: 0.634, prior_entropy: 0.9664, recall: 0.634, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2392, scimark_benchmark: 1113.9982, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8463, kappa: 0.6752, kb_relative_information_score: 298.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8476, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7444, scimark_benchmark: 931.9772, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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