Task
Supervised Classification on boston

Supervised Classification on boston

Task 3718 Supervised Classification boston 527 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: 0.8562, f_measure: 0.8358, kappa: 0.661, kb_relative_information_score: 297.3977, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7663, kappa: 0.5357, kb_relative_information_score: 251.3093, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7916, predictive_accuracy: 0.7648, prior_entropy: 0.9782, recall: 0.7648, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7919, kappa: 0.585, kb_relative_information_score: 243.7216, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8142, predictive_accuracy: 0.7905, prior_entropy: 0.9782, recall: 0.7905, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8403, kappa: 0.6715, kb_relative_information_score: 290.6505, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8783, kappa: 0.7476, kb_relative_information_score: 336.9882, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8804, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7919, kappa: 0.585, kb_relative_information_score: 243.7216, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8142, predictive_accuracy: 0.7905, prior_entropy: 0.9782, recall: 0.7905, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8478, kappa: 0.6859, kb_relative_information_score: 333.0363, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9782, recall: 0.8478, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8851, kappa: 0.7626, kb_relative_information_score: 383.4322, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8327, kappa: 0.6567, kb_relative_information_score: 291.4823, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8488, kappa: 0.6867, kb_relative_information_score: 310.9943, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8495, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8573, kappa: 0.7049, kb_relative_information_score: 348.5332, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8756, kappa: 0.7438, kb_relative_information_score: 327.2488, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8758, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8535, kappa: 0.6975, kb_relative_information_score: 300.5971, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.764, kappa: 0.534, kb_relative_information_score: 257.282, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7947, predictive_accuracy: 0.7628, prior_entropy: 0.9782, recall: 0.7628, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8681, kappa: 0.7263, kb_relative_information_score: 360.9784, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8708, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 332.0586, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8565, kappa: 0.7023, kb_relative_information_score: 282.2636, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.858, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8811, kappa: 0.7541, kb_relative_information_score: 327.8635, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8811, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.851, kappa: 0.6915, kb_relative_information_score: 319.6922, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8514, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8513, kappa: 0.6923, kb_relative_information_score: 322.7116, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8587, kappa: 0.7071, kb_relative_information_score: 332.4175, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8595, kappa: 0.71, kb_relative_information_score: 331.1165, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7459, kappa: 0.5014, kb_relative_information_score: 236.6171, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7819, predictive_accuracy: 0.7451, prior_entropy: 0.9782, recall: 0.7451, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7602, kappa: 0.5256, kb_relative_information_score: 250.3597, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7891, predictive_accuracy: 0.7589, prior_entropy: 0.9782, recall: 0.7589, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7482, kappa: 0.5036, kb_relative_information_score: 239.643, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.78, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8595, kappa: 0.71, kb_relative_information_score: 331.1165, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8616, kappa: 0.7143, kb_relative_information_score: 359.6517, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.855, kappa: 0.6997, kb_relative_information_score: 353.3835, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8554, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8036, kappa: 0.5992, kb_relative_information_score: 290.2464, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8084, predictive_accuracy: 0.8024, prior_entropy: 0.9782, recall: 0.8024, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7479, kappa: 0.505, kb_relative_information_score: 236.8722, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7831, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.482, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6177, kappa: 0.2465, kb_relative_information_score: 82.4161, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7238, predictive_accuracy: 0.6719, prior_entropy: 0.9782, recall: 0.6719, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8743, kappa: 0.7393, kb_relative_information_score: 329.4218, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8763, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8361, kappa: 0.6624, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8364, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8721, kappa: 0.7346, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8749, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8886, kappa: 0.7691, kb_relative_information_score: 388.9035, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8897, predictive_accuracy: 0.8893, prior_entropy: 0.9782, recall: 0.8893, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8826, kappa: 0.7566, kb_relative_information_score: 382.6353, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8838, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.881, kappa: 0.7537, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7718, kappa: 0.5325, kb_relative_information_score: 263.5388, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7744, predictive_accuracy: 0.7708, prior_entropy: 0.9782, recall: 0.7708, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9724, scimark_benchmark: 1461.2356, usercpu_time_millis: 6890.625, usercpu_time_millis_training: 6890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8748, kappa: 0.7408, kb_relative_information_score: 374.2776, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7166, scimark_benchmark: 1461.2356, usercpu_time_millis: 2046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5438, kappa: 0.1327, kb_relative_information_score: 115.1905, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.6885, predictive_accuracy: 0.6304, prior_entropy: 0.9782, recall: 0.6304, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2347, scimark_benchmark: 1959.6455, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4342, kb_relative_information_score: 69.2234, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3053, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8552, kappa: 0.7006, kb_relative_information_score: 312.5389, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7115, scimark_benchmark: 1397.2934, usercpu_time_millis: 2120, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4342, kb_relative_information_score: 69.2234, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3053, scimark_benchmark: 1373.3145, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5438, kappa: 0.1327, kb_relative_information_score: 115.1905, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.6885, predictive_accuracy: 0.6304, prior_entropy: 0.9782, recall: 0.6304, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2347, scimark_benchmark: 1364.4004, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7718, kappa: 0.5325, kb_relative_information_score: 263.5388, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7744, predictive_accuracy: 0.7708, prior_entropy: 0.9782, recall: 0.7708, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9724, scimark_benchmark: 1382.601, usercpu_time_millis: 7940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8545, kappa: 0.6984, kb_relative_information_score: 347.7747, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8559, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6547, scimark_benchmark: 1908.2191, usercpu_time_millis: 1609.375, usercpu_time_millis_training: 1609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8748, kappa: 0.7408, kb_relative_information_score: 374.2776, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7166, scimark_benchmark: 1827.4462, usercpu_time_millis: 2171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8688, kappa: 0.7283, kb_relative_information_score: 359.6123, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6864, scimark_benchmark: 1348.7032, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8702, kappa: 0.7307, kb_relative_information_score: 347.3141, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8727, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6377, scimark_benchmark: 1060.9535, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7479, kappa: 0.505, kb_relative_information_score: 236.8722, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7831, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.482, root_relative_squared_error: 0.979, scimark_benchmark: 1347.3265, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 313.165, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6887, scimark_benchmark: 1269.6149, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.883, kappa: 0.758, kb_relative_information_score: 324.3845, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.619, scimark_benchmark: 1367.2865, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8518, kappa: 0.6945, kb_relative_information_score: 348.0558, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8519, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7802, scimark_benchmark: 1306.8169, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8632, kappa: 0.717, kb_relative_information_score: 343.9002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8632, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.643, scimark_benchmark: 1218.363, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8573, kappa: 0.7049, kb_relative_information_score: 317.0513, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7067, scimark_benchmark: 797.6385, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8587, kappa: 0.7071, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8731, kappa: 0.7377, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8501, kappa: 0.6888, kb_relative_information_score: 303.0034, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8527, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7004, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8869, kappa: 0.7659, kb_relative_information_score: 335.3805, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5809, scimark_benchmark: 1925.3565, 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: 0.8182, f_measure: 0.7919, kappa: 0.585, kb_relative_information_score: 243.7216, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8142, predictive_accuracy: 0.7905, prior_entropy: 0.9782, recall: 0.7905, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.854, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 331.1165, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7206, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7479, kappa: 0.505, kb_relative_information_score: 236.8722, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7831, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.482, root_relative_squared_error: 0.979, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8606, kappa: 0.711, kb_relative_information_score: 359.6517, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8618, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7554, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8731, kappa: 0.7377, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 313.1636, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6887, scimark_benchmark: 1925.3565, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.883, kappa: 0.758, kb_relative_information_score: 324.3845, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.619, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8518, kappa: 0.6945, kb_relative_information_score: 348.0558, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8519, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7802, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8632, kappa: 0.717, kb_relative_information_score: 343.9002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8632, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.643, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8673, kappa: 0.7259, kb_relative_information_score: 318.9515, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.687, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8501, kappa: 0.6888, kb_relative_information_score: 303.0034, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8527, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7004, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8929, kappa: 0.7783, kb_relative_information_score: 335.3592, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8932, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5813, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7919, kappa: 0.585, kb_relative_information_score: 243.7216, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8142, predictive_accuracy: 0.7905, prior_entropy: 0.9782, recall: 0.7905, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.854, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8615, kappa: 0.7139, kb_relative_information_score: 333.206, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8614, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7149, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.883, kappa: 0.758, kb_relative_information_score: 324.3845, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.619, 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: 0.8961, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 313.1649, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6887, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8632, kappa: 0.717, kb_relative_information_score: 343.9002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8632, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.643, scimark_benchmark: 1834.908, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8632, kappa: 0.717, kb_relative_information_score: 343.9002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8632, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.643, 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: 0.9227, f_measure: 0.8529, kappa: 0.6954, kb_relative_information_score: 325.9775, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6571, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8625, kappa: 0.7149, kb_relative_information_score: 301.7161, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6865, 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: 0.9224, f_measure: 0.864, kappa: 0.7176, kb_relative_information_score: 312.195, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8672, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6429, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8775, kappa: 0.7473, kb_relative_information_score: 308.8633, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8775, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6362, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8673, kappa: 0.7259, kb_relative_information_score: 365.92, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.739, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8587, kappa: 0.7071, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1031.7388, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8358, kappa: 0.661, kb_relative_information_score: 297.3977, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7552, scimark_benchmark: 912.875, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8685, kappa: 0.7275, kb_relative_information_score: 313.5555, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6565, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8297, kappa: 0.6461, kb_relative_information_score: 297.887, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8406, predictive_accuracy: 0.834, prior_entropy: 0.9782, recall: 0.834, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7709, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.85, kappa: 0.6882, kb_relative_information_score: 332.6011, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8618, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7061, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8563, kappa: 0.7019, kb_relative_information_score: 281.9212, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8583, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6729, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8535, kappa: 0.6975, kb_relative_information_score: 323.2938, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6597, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8573, kappa: 0.7049, kb_relative_information_score: 304.5534, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6575, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8733, kappa: 0.7384, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8733, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8731, kappa: 0.7377, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8621, kappa: 0.7137, kb_relative_information_score: 303.6211, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8649, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6882, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8501, kappa: 0.6888, kb_relative_information_score: 303.237, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8527, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7003, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8371, kappa: 0.669, kb_relative_information_score: 271.0067, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8445, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7245, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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