Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7932, kappa: 0.5829, kb_relative_information_score: 1532.8938, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.777, scimark_benchmark: 1832.5979, usercpu_time_millis: 2786.637, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 2785.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1549.0377, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1730.7559, usercpu_time_millis: 3173.771, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 3170.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1648.7033, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1837.6484, usercpu_time_millis: 2669.758, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 2666.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.091, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1822.3911, usercpu_time_millis: 6.126, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 5.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 952.4832, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8788, scimark_benchmark: 1838.6023, usercpu_time_millis: 41.288, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 40.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7919, kappa: 0.5803, kb_relative_information_score: 1445.8272, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1838.0313, usercpu_time_millis: 120.1, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 119.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7789, kappa: 0.5538, kb_relative_information_score: 1382.0267, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8018, scimark_benchmark: 1852.9259, usercpu_time_millis: 1393.444, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 1392.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7775, kappa: 0.5509, kb_relative_information_score: 1379.0256, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8021, scimark_benchmark: 1831.2443, usercpu_time_millis: 5028.18, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 5025.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1583.8392, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7629, scimark_benchmark: 2146.7114, usercpu_time_millis: 4947.1, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 4944.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1622.1695, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1731.5003, usercpu_time_millis: 5434.428, usercpu_time_millis_testing: 2.92, usercpu_time_millis_training: 5431.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8061, kappa: 0.609, kb_relative_information_score: 1695.5364, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1783.4038, usercpu_time_millis: 6086.791, usercpu_time_millis_testing: 4.648, usercpu_time_millis_training: 6082.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1653.4096, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 1855.0232, usercpu_time_millis: 6605.081, usercpu_time_millis_testing: 4.419, usercpu_time_millis_training: 6600.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.794, kappa: 0.5844, kb_relative_information_score: 1549.1065, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7714, scimark_benchmark: 1858.6076, usercpu_time_millis: 9077.555, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 9073.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8038, kappa: 0.6042, kb_relative_information_score: 1640.8188, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1851.4874, usercpu_time_millis: 9793.872, usercpu_time_millis_testing: 4.885, usercpu_time_millis_training: 9788.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0009, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1735.4702, usercpu_time_millis: 8.509, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 7.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0629, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1737.6542, usercpu_time_millis: 5.976, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 5.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1538, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1702.9827, usercpu_time_millis: 6.391, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 5.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1948, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1739.8317, usercpu_time_millis: 8.937, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7392, kappa: 0.4743, kb_relative_information_score: 555.216, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7391, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9055, scimark_benchmark: 1754.1372, usercpu_time_millis: 11.497, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 10.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7957, kappa: 0.588, kb_relative_information_score: 1451.5031, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1735.6638, usercpu_time_millis: 713.649, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 711.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7899, kappa: 0.5763, kb_relative_information_score: 1490.0418, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7819, scimark_benchmark: 1735.3239, usercpu_time_millis: 2582.518, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 2580.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8097, kappa: 0.6165, kb_relative_information_score: 1741.2306, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7463, scimark_benchmark: 1780.2104, usercpu_time_millis: 2229.052, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 2226.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: 0.0406, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1728.0291, usercpu_time_millis: 5.547, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 4.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.49, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1830.1486, usercpu_time_millis: 5.148, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 4.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.11, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1841.6688, usercpu_time_millis: 6.029, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 5.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.1092, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.1045, usercpu_time_millis: 9.525, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 8.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7594, kappa: 0.5148, kb_relative_information_score: 1695.0941, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8655, scimark_benchmark: 1840.7617, usercpu_time_millis: 34.273, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 33.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7717, kappa: 0.5394, kb_relative_information_score: 1267.0116, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.814, scimark_benchmark: 1840.7617, usercpu_time_millis: 120.486, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 119.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7363, kappa: 0.4696, kb_relative_information_score: 845.7775, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8693, scimark_benchmark: 1855.4813, usercpu_time_millis: 142.673, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 141.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7602, kappa: 0.5161, kb_relative_information_score: 1038.8809, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.836, scimark_benchmark: 1729.3908, usercpu_time_millis: 195.881, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 194.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7599, kappa: 0.5155, kb_relative_information_score: 1310.3716, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1848.7762, usercpu_time_millis: 233.344, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 232.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1279.4584, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1853.5818, usercpu_time_millis: 273.303, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 268.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 1196.1296, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1724.8828, usercpu_time_millis: 283.958, usercpu_time_millis_testing: 2.909, usercpu_time_millis_training: 281.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7523, kappa: 0.5002, kb_relative_information_score: 1005.9219, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7532, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8484, scimark_benchmark: 1854.4431, usercpu_time_millis: 334.076, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 332.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1581.8737, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1736.9185, usercpu_time_millis: 1394.431, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 1391.949,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7597, kappa: 0.5152, kb_relative_information_score: 1257.8253, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1763.2729, usercpu_time_millis: 1398.754, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 1396.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8023, kappa: 0.6011, kb_relative_information_score: 1573.5498, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 1830.5713, usercpu_time_millis: 2905.739, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 2903.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 1377.3013, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8002, scimark_benchmark: 1838.1026, usercpu_time_millis: 1716.414, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 1714.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7564, kappa: 0.5084, kb_relative_information_score: 1057.3825, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1734.6051, usercpu_time_millis: 294.289, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 292.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1213.7413, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1819.7976, usercpu_time_millis: 303.21, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 301.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1504.9615, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7775, scimark_benchmark: 1843.263, usercpu_time_millis: 1573.976, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 1572.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8019, kappa: 0.6004, kb_relative_information_score: 1457.366, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1716.3668, usercpu_time_millis: 1681.579, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 1677.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7371, kappa: 0.4701, kb_relative_information_score: 404.0837, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9288, scimark_benchmark: 1798.5572, usercpu_time_millis: 55.464, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 54.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 939.8051, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1834.0484, usercpu_time_millis: 205.651, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 204.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1620.5635, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1774.4514, usercpu_time_millis: 693.279, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 691.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1567.5516, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1862.7315, usercpu_time_millis: 11984.64, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 11979.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1147.5406, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7665, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8244, scimark_benchmark: 1831.2726, usercpu_time_millis: 448.265, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 446.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7621, kappa: 0.5199, kb_relative_information_score: 1156.1859, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826, scimark_benchmark: 1755.3902, usercpu_time_millis: 707.209, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 705.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1645.8648, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7566, scimark_benchmark: 1726.9824, usercpu_time_millis: 10291.156, usercpu_time_millis_testing: 5.209, usercpu_time_millis_training: 10285.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1643.9843, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1738.2694, usercpu_time_millis: 13214.236, usercpu_time_millis_testing: 4.112, usercpu_time_millis_training: 13210.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1641.7799, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7611, scimark_benchmark: 1777.6693, usercpu_time_millis: 3355.955, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 3353.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8008, kappa: 0.5983, kb_relative_information_score: 1787.4924, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 1828.672, usercpu_time_millis: 3489.937, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 3487.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7932, kappa: 0.583, kb_relative_information_score: 1796.166, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1752.0039, usercpu_time_millis: 6570.612, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 6567.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7688, kappa: 0.5334, kb_relative_information_score: 1241.2901, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1798.2089, usercpu_time_millis: 87.19, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 86.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7567, kappa: 0.5092, kb_relative_information_score: 1122.9407, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1790.723, usercpu_time_millis: 880.8, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 878.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7899, kappa: 0.5762, kb_relative_information_score: 1490.0413, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1748.8723, usercpu_time_millis: 1087.795, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 1086.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7889, kappa: 0.5743, kb_relative_information_score: 1391.7101, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1795.4034, usercpu_time_millis: 589.972, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 587.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7958, kappa: 0.5881, kb_relative_information_score: 1555.7881, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7962, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7703, scimark_benchmark: 1848.8462, usercpu_time_millis: 4394.628, usercpu_time_millis_testing: 2.395, usercpu_time_millis_training: 4392.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1501.9235, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1824.5681, usercpu_time_millis: 5627.008, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 5622.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1747.5676, usercpu_time_millis: 7.383, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 6.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1611.5576, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759, scimark_benchmark: 1825.9884, usercpu_time_millis: 1545.426, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 1543.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 1570.0619, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1833.6579, usercpu_time_millis: 2810.721, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 2807.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.6427, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.9533, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 4.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7847, kappa: 0.5657, kb_relative_information_score: 1373.278, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 1729.3292, usercpu_time_millis: 373.786, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 372.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 975.2991, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1726.5817, usercpu_time_millis: 26.299, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 25.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0476, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.726, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 7.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1561.342, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1910.4004, usercpu_time_millis: 1116.042, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 1113.766,

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