Task
Supervised Classification on thoracic-surgery

Supervised Classification on thoracic-surgery

Task 9969 Supervised Classification thoracic-surgery 113 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.7903, kappa: 0.0386, kb_relative_information_score: -35.5791, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.8013, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3597, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, kb_relative_information_score: -45.0785, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2546, number_of_instances: 470, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.7815, kappa: -0.0042, kb_relative_information_score: -25.8037, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.724, predictive_accuracy: 0.8489, prior_entropy: 0.6109, recall: 0.8489, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0829, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.2546, number_of_instances: 470, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7826, kb_relative_information_score: -90.3956, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.781, kappa: -0.0011, kb_relative_information_score: -45.5843, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7455, predictive_accuracy: 0.8404, prior_entropy: 0.6109, recall: 0.8404, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 3.2951, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: -3.6132, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: -0.8506, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.7934, kappa: 0.14, kb_relative_information_score: -114.7881, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7832, predictive_accuracy: 0.8064, prior_entropy: 0.6109, recall: 0.8064, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.7756, kappa: 0.0733, kb_relative_information_score: -8.273, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7655, predictive_accuracy: 0.7872, prior_entropy: 0.6109, recall: 0.7872, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7675, kappa: 0.0296, kb_relative_information_score: -173.1715, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7543, predictive_accuracy: 0.783, prior_entropy: 0.6109, recall: 0.783, relative_absolute_error: 1.0926, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.789, kappa: 0.0392, kb_relative_information_score: -39.1777, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7718, predictive_accuracy: 0.8426, prior_entropy: 0.6109, recall: 0.8426, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.7815, kappa: -0.0042, kb_relative_information_score: -16.5831, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.724, predictive_accuracy: 0.8489, prior_entropy: 0.6109, recall: 0.8489, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.7821, kappa: 0.0029, kb_relative_information_score: -47.3755, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7493, predictive_accuracy: 0.8426, prior_entropy: 0.6109, recall: 0.8426, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3678, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: 97.0426, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7939, kappa: 0.0687, kb_relative_information_score: -28.0686, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7791, predictive_accuracy: 0.8404, prior_entropy: 0.6109, recall: 0.8404, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: -0.8506, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.7833, kappa: 0.0133, kb_relative_information_score: -63.0803, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.755, predictive_accuracy: 0.8383, prior_entropy: 0.6109, recall: 0.8383, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.362, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7826, kb_relative_information_score: -16.2303, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: -0.8506, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.7934, kappa: 0.0608, kb_relative_information_score: -68.907, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7828, predictive_accuracy: 0.8447, prior_entropy: 0.6109, recall: 0.8447, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.375, root_relative_squared_error: 1.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 1.3599, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.356, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.7783, kappa: -0.0164, kb_relative_information_score: -39.6658, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7232, predictive_accuracy: 0.8426, prior_entropy: 0.6109, recall: 0.8426, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.7843, kappa: 0.0111, kb_relative_information_score: -2.3747, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7623, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7707, kappa: 0.0454, kb_relative_information_score: -188.8981, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7584, predictive_accuracy: 0.7851, prior_entropy: 0.6109, recall: 0.7851, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3917, root_relative_squared_error: 1.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.781, kappa: 0.0206, kb_relative_information_score: -48.5977, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7543, predictive_accuracy: 0.8234, prior_entropy: 0.6109, recall: 0.8234, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.7794, kappa: -0.0124, kb_relative_information_score: 112.468, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7235, predictive_accuracy: 0.8447, prior_entropy: 0.6109, recall: 0.8447, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.785, kappa: 0.0403, kb_relative_information_score: -63.5222, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7614, predictive_accuracy: 0.8255, prior_entropy: 0.6109, recall: 0.8255, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7798, kappa: -0.0051, kb_relative_information_score: -46.1786, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7426, predictive_accuracy: 0.8383, prior_entropy: 0.6109, recall: 0.8383, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.7794, kappa: -0.0124, kb_relative_information_score: 112.468, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7235, predictive_accuracy: 0.8447, prior_entropy: 0.6109, recall: 0.8447, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.7563, kappa: 0.0894, kb_relative_information_score: -415.9699, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7696, predictive_accuracy: 0.7447, prior_entropy: 0.6109, recall: 0.7447, relative_absolute_error: 1.3713, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.1789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.7843, kappa: 0.0111, kb_relative_information_score: -2.3747, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7623, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.7811, kappa: 0.0372, kb_relative_information_score: -79.3287, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7584, predictive_accuracy: 0.8149, prior_entropy: 0.6109, recall: 0.8149, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.7815, kappa: -0.0042, kb_relative_information_score: -23.532, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.724, predictive_accuracy: 0.8489, prior_entropy: 0.6109, recall: 0.8489, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.7941, kappa: 0.0761, kb_relative_information_score: -81.394, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7773, predictive_accuracy: 0.8362, prior_entropy: 0.6109, recall: 0.8362, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.7746, kappa: 0.0952, kb_relative_information_score: -38.1467, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7707, predictive_accuracy: 0.7787, prior_entropy: 0.6109, recall: 0.7787, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.7939, kappa: 0.0895, kb_relative_information_score: 73.5997, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7761, predictive_accuracy: 0.8277, prior_entropy: 0.6109, recall: 0.8277, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.166, usercpu_time_millis: 392.938, usercpu_time_millis_testing: 15.118, usercpu_time_millis_training: 377.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.7874, kappa: 0.0631, kb_relative_information_score: 59.0241, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.767, predictive_accuracy: 0.8213, prior_entropy: 0.6109, recall: 0.8213, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.1874, usercpu_time_millis: 4.927, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 4.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 0.674, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: 117.3266, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0993, usercpu_time_millis: 11.77, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 11.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.7794, kappa: -0.0124, kb_relative_information_score: 112.468, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7235, predictive_accuracy: 0.8447, prior_entropy: 0.6109, recall: 0.8447, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.1069, usercpu_time_millis: 7.596, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 7.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, f_measure: 0.7697, kappa: -0.0456, kb_relative_information_score: 68.7412, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.721, predictive_accuracy: 0.8255, prior_entropy: 0.6109, recall: 0.8255, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.1732, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7815, kappa: -0.0042, kb_relative_information_score: 122.1851, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.724, predictive_accuracy: 0.8489, prior_entropy: 0.6109, recall: 0.8489, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3887, root_relative_squared_error: 1.0917, usercpu_time_millis: 3.738, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 3.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.7783, kappa: -0.0164, kb_relative_information_score: 107.6095, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7232, predictive_accuracy: 0.8426, prior_entropy: 0.6109, recall: 0.8426, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.1145, usercpu_time_millis: 33.853, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 27.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.7805, kappa: 0.0114, kb_relative_information_score: 73.5997, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7515, predictive_accuracy: 0.8277, prior_entropy: 0.6109, recall: 0.8277, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.166, usercpu_time_millis: 61.879, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 61.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: 117.3266, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0993, usercpu_time_millis: 4.799, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 4.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.7611, kappa: -0.0411, kb_relative_information_score: -4.1369, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7341, predictive_accuracy: 0.7936, prior_entropy: 0.6109, recall: 0.7936, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.276, usercpu_time_millis: 2.541, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.781, kappa: 0.0054, kb_relative_information_score: 88.1753, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7495, predictive_accuracy: 0.834, prior_entropy: 0.6109, recall: 0.834, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.1442, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.7711, kappa: 0.0548, kb_relative_information_score: -28.4296, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7607, predictive_accuracy: 0.783, prior_entropy: 0.6109, recall: 0.783, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.3085, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.7805, kappa: 0.0114, kb_relative_information_score: 73.5997, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7515, predictive_accuracy: 0.8277, prior_entropy: 0.6109, recall: 0.8277, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.166, usercpu_time_millis: 0.424, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.7793, kappa: 0.0077, kb_relative_information_score: 68.7412, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7497, predictive_accuracy: 0.8255, prior_entropy: 0.6109, recall: 0.8255, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.1732, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.7786, kappa: 0.022, kb_relative_information_score: 44.4485, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7538, predictive_accuracy: 0.8149, prior_entropy: 0.6109, recall: 0.8149, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.2084, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: 117.3266, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0993, usercpu_time_millis: 3.482, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 2.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.7683, kappa: 0.0487, kb_relative_information_score: -38.1467, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.759, predictive_accuracy: 0.7787, prior_entropy: 0.6109, recall: 0.7787, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.3212, usercpu_time_millis: 3.213, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 1.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.7843, kappa: 0.0111, kb_relative_information_score: 117.3266, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7623, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0993, usercpu_time_millis: 3.028, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 1.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7805, kappa: -0.0083, kb_relative_information_score: 117.3266, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7238, predictive_accuracy: 0.8468, prior_entropy: 0.6109, recall: 0.8468, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0993, usercpu_time_millis: 100.632, usercpu_time_millis_testing: 6.334, usercpu_time_millis_training: 94.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.7845, kappa: 0.0173, kb_relative_information_score: 102.751, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7586, predictive_accuracy: 0.8404, prior_entropy: 0.6109, recall: 0.8404, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.122, usercpu_time_millis: 1.204, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 30.899, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 28.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.7783, kappa: -0.0164, kb_relative_information_score: 107.6095, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7232, predictive_accuracy: 0.8426, prior_entropy: 0.6109, recall: 0.8426, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.1145, usercpu_time_millis: 1.097, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7826, kb_relative_information_score: 127.0437, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7243, predictive_accuracy: 0.8511, prior_entropy: 0.6109, recall: 0.8511, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.084, usercpu_time_millis: 3.084, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 2.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.7787, kappa: -0.0089, kb_relative_information_score: 93.0339, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7402, predictive_accuracy: 0.8362, prior_entropy: 0.6109, recall: 0.8362, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.1369, usercpu_time_millis: 29.175, usercpu_time_millis_testing: 6.655, usercpu_time_millis_training: 22.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.781, kappa: -0.0011, kb_relative_information_score: -66.776, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7455, predictive_accuracy: 0.8404, prior_entropy: 0.6109, recall: 0.8404, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.0099, scimark_benchmark: 1224.0007, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.7914, kappa: 0.0974, kb_relative_information_score: -10.3103, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7748, predictive_accuracy: 0.817, prior_entropy: 0.6109, recall: 0.817, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.1407, scimark_benchmark: 474.4981, usercpu_time_millis: 5870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.6521, kappa: 0.1188, kb_relative_information_score: -473.4921, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.2546, number_of_instances: 470, precision: 0.7976, predictive_accuracy: 0.5936, prior_entropy: 0.6109, recall: 0.5936, relative_absolute_error: 1.5977, root_mean_prior_squared_error: 0.356, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.7152, scimark_benchmark: 1252.5951, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs