Task
Supervised Classification on fri_c3_100_25

Supervised Classification on fri_c3_100_25

Task 3634 Supervised Classification fri_c3_100_25 552 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: 0.5046, f_measure: 0.5067, kappa: 0.0167, kb_relative_information_score: 0.3201, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5145, predictive_accuracy: 0.53, prior_entropy: 0.9931, recall: 0.53, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 21.9047, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.5704, kappa: 0.1331, kb_relative_information_score: 2.0998, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5709, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6549, kappa: 0.3018, kb_relative_information_score: 23.0638, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.4482, kappa: -0.0173, kb_relative_information_score: -1.6959, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4875, predictive_accuracy: 0.53, prior_entropy: 0.9931, recall: 0.53, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6549, kappa: 0.3018, kb_relative_information_score: 21.3982, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.503, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.6687, kappa: 0.3293, kb_relative_information_score: 30.1987, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5695, kappa: 0.1296, kb_relative_information_score: 10.5008, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5692, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7279, kappa: 0.449, kb_relative_information_score: 22.0092, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7296, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8173, kappa: 0.6304, kb_relative_information_score: 62.9075, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8257, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4162, f_measure: 0.6013, kappa: 0.2324, kb_relative_information_score: 0.7121, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6711, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6052, kappa: 0.2008, kb_relative_information_score: 14.029, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6065, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.591, kappa: 0.18, kb_relative_information_score: 10.3959, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.595, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.5807, kappa: 0.1549, kb_relative_information_score: 12.5858, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5818, predictive_accuracy: 0.58, prior_entropy: 0.9931, recall: 0.58, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7078, kappa: 0.4082, kb_relative_information_score: 18.5665, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7092, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7898, kappa: 0.5749, kb_relative_information_score: 33.2936, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7897, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6897, kappa: 0.3725, kb_relative_information_score: 26.2108, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.147, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.6, kappa: 0.1919, kb_relative_information_score: 18.8513, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 38.5145, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.56, kappa: 0.1111, kb_relative_information_score: 4.4898, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.6006, kappa: 0.1952, kb_relative_information_score: 11.31, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.6108, kappa: 0.2169, kb_relative_information_score: 8.4355, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6127, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6529, kappa: 0.299, kb_relative_information_score: 14.1735, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6596, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 38.5145, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.6608, kappa: 0.3186, kb_relative_information_score: 26.9214, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6637, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5329, f_measure: 0.5807, kappa: 0.1549, kb_relative_information_score: 2.4868, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5818, predictive_accuracy: 0.58, prior_entropy: 0.9931, recall: 0.58, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.56, kappa: 0.1111, kb_relative_information_score: 4.4898, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.5869, kappa: 0.1633, kb_relative_information_score: 6.5263, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5867, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6605, kappa: 0.3241, kb_relative_information_score: 19.2043, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6696, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7252, kappa: 0.4444, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7328, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5186, kappa: 0.1126, kb_relative_information_score: 16.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6188, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2871, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5869, kappa: 0.1633, kb_relative_information_score: 16.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5867, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2871, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6143, kappa: 0.2197, kb_relative_information_score: 22.9073, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6168, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2391, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5869, kappa: 0.1633, kb_relative_information_score: 16.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5867, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2871, scimark_benchmark: 1647.9169, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6143, kappa: 0.2197, kb_relative_information_score: 22.9073, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6168, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2391, scimark_benchmark: 1379.7632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5186, kappa: 0.1126, kb_relative_information_score: 16.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6188, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2871, scimark_benchmark: 1599.6439, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5884, kappa: 0.1667, kb_relative_information_score: 12.9182, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5878, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1705, scimark_benchmark: 1908.2191, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.5295, kappa: 0.0486, kb_relative_information_score: 4.104, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5291, predictive_accuracy: 0.53, prior_entropy: 0.9931, recall: 0.53, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6756, root_relative_squared_error: 1.3581, scimark_benchmark: 1908.2191, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.5869, kappa: 0.1633, kb_relative_information_score: 15.3673, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5867, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.61, root_relative_squared_error: 1.2261, scimark_benchmark: 1412.7743, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6897, kappa: 0.3725, kb_relative_information_score: 26.2108, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9285, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6549, kappa: 0.3018, kb_relative_information_score: 17.5095, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9578, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.579, kappa: 0.1481, kb_relative_information_score: 14.7953, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5784, predictive_accuracy: 0.58, prior_entropy: 0.9931, recall: 0.58, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.4717, kappa: 0.026, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5313, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5704, kappa: 0.1331, kb_relative_information_score: 12.7672, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5709, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3181, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6438, kappa: 0.2798, kb_relative_information_score: 16.9999, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6484, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9785, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.6191, kappa: 0.2292, kb_relative_information_score: 18.8395, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0056, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3842, f_measure: 0.4485, kappa: 0.0529, kb_relative_information_score: -1.6505, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6469, predictive_accuracy: 0.57, prior_entropy: 0.9931, recall: 0.57, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0177, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.4482, kappa: -0.0173, kb_relative_information_score: -1.6959, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4875, predictive_accuracy: 0.53, prior_entropy: 0.9931, recall: 0.53, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0615, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6955, kappa: 0.384, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 33.0474, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.5949, kappa: 0.2, kb_relative_information_score: 11.4458, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6253, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9979, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 38.5145, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0211, scimark_benchmark: 1838.8826,

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