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: 0.8642, f_measure: 0.7939, kappa: 0.5841, kb_relative_information_score: 1547.0162, mean_absolute_error: 0.3084, 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: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1358.9405, usercpu_time_millis: 12945.434, usercpu_time_millis_testing: 3.543, usercpu_time_millis_training: 12941.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1581.0362, mean_absolute_error: 0.3038, 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: 0.612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1360.6752, usercpu_time_millis: 8016.005, usercpu_time_millis_testing: 3.884, usercpu_time_millis_training: 8012.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7673, kappa: 0.5304, kb_relative_information_score: 1327.4541, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7689, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1748.4988, usercpu_time_millis: 1944.984, usercpu_time_millis_testing: 2.071, usercpu_time_millis_training: 1942.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7727, kappa: 0.5413, kb_relative_information_score: 1366.0509, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7743, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8055, scimark_benchmark: 1361.3758, usercpu_time_millis: 5845.093, usercpu_time_millis_testing: 3.004, usercpu_time_millis_training: 5842.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1524.4521, mean_absolute_error: 0.312, 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: 0.6284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1362.6459, usercpu_time_millis: 7161.675, usercpu_time_millis_testing: 5.325, usercpu_time_millis_training: 7156.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.812, kappa: 0.621, kb_relative_information_score: 1590.2494, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7526, scimark_benchmark: 1848.7304, usercpu_time_millis: 1144.328, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 1139.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8064, kappa: 0.6096, kb_relative_information_score: 1710.3619, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1850.9652, usercpu_time_millis: 1001.561, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 1000.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1563.2395, mean_absolute_error: 0.3073, 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: 0.6189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7622, scimark_benchmark: 1853.3841, usercpu_time_millis: 501.574, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 500.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1013.3569, mean_absolute_error: 0.3813, 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: 0.7682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8656, scimark_benchmark: 1852.5406, usercpu_time_millis: 489.635, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 487.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7853, kappa: 0.5671, kb_relative_information_score: 1134.3557, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8116, scimark_benchmark: 1746.7842, usercpu_time_millis: 132.651, usercpu_time_millis_testing: 4.662, usercpu_time_millis_training: 127.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6318, kappa: 0.2809, kb_relative_information_score: 219.6365, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6783, predictive_accuracy: 0.6561, prior_entropy: 0.9948, recall: 0.6561, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9603, scimark_benchmark: 1752.7039, usercpu_time_millis: 20.342, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 18.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6672, kappa: 0.3325, kb_relative_information_score: 332.0293, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6789, predictive_accuracy: 0.6753, prior_entropy: 0.9948, recall: 0.6753, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9415, scimark_benchmark: 1747.701, usercpu_time_millis: 13.736, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 12.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.621, kappa: 0.2649, kb_relative_information_score: 212.5882, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6754, predictive_accuracy: 0.6494, prior_entropy: 0.9948, recall: 0.6494, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9615, scimark_benchmark: 1751.8933, usercpu_time_millis: 12.148, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 10.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 742.9342, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8846, scimark_benchmark: 1836.0071, usercpu_time_millis: 6.315, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 5.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1406, 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: 2117.2496, usercpu_time_millis: 9.219, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 7.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7554, kappa: 0.507, kb_relative_information_score: 1220.9028, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1365.0985, usercpu_time_millis: 1913.815, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 1910.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7371, kappa: 0.4708, kb_relative_information_score: 763.5618, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8781, scimark_benchmark: 1358.4357, usercpu_time_millis: 158.49, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 156.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.151, 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: 1352.3173, usercpu_time_millis: 8.459, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 7.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7954, kappa: 0.5874, kb_relative_information_score: 1514.8702, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1361.6034, usercpu_time_millis: 1451.227, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 1449.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1607.3769, mean_absolute_error: 0.3006, 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: 0.6056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 2071.4033, usercpu_time_millis: 4038.214, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 4035.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7625, kappa: 0.5209, kb_relative_information_score: 1270.3329, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 1350.8419, usercpu_time_millis: 750.596, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 749.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 477.0679, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9165, scimark_benchmark: 1359.0457, usercpu_time_millis: 34.519, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 33.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7059, kappa: 0.4067, kb_relative_information_score: 414.9623, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7078, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9274, scimark_benchmark: 1359.3706, usercpu_time_millis: 39.581, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 37.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7521, kappa: 0.4996, kb_relative_information_score: 911.1731, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8565, scimark_benchmark: 1357.6284, usercpu_time_millis: 436.811, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 434.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8089, kappa: 0.6145, kb_relative_information_score: 1649.4888, mean_absolute_error: 0.2946, 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: 0.5935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562, scimark_benchmark: 1361.8084, usercpu_time_millis: 11470.212, usercpu_time_millis_testing: 4.074, usercpu_time_millis_training: 11466.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1575.0991, mean_absolute_error: 0.3049, 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: 0.6141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1360.5507, usercpu_time_millis: 1328.934, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 1327.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.78, kappa: 0.5561, kb_relative_information_score: 1456.3351, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7896, scimark_benchmark: 1732.6184, usercpu_time_millis: 5207.618, usercpu_time_millis_testing: 3.907, usercpu_time_millis_training: 5203.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 1193.9511, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7663, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8213, scimark_benchmark: 1362.5021, usercpu_time_millis: 1013.18, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 1011.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1641.4829, mean_absolute_error: 0.2957, 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: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576, scimark_benchmark: 1829.7478, usercpu_time_millis: 5575.321, usercpu_time_millis_testing: 3.018, usercpu_time_millis_training: 5572.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 828.7675, mean_absolute_error: 0.4057, 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: 0.8172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.881, scimark_benchmark: 1359.7006, usercpu_time_millis: 381.461, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 379.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8109, kappa: 0.6186, kb_relative_information_score: 1641.7841, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7522, scimark_benchmark: 1360.033, usercpu_time_millis: 1015.413, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 1013.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1474.1422, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7856, scimark_benchmark: 1361.6083, usercpu_time_millis: 11428.023, usercpu_time_millis_testing: 4.451, usercpu_time_millis_training: 11423.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7721, kappa: 0.5403, kb_relative_information_score: 1333.6267, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8092, scimark_benchmark: 1358.4871, usercpu_time_millis: 956.91, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 955.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7421, kappa: 0.4796, kb_relative_information_score: 489.5151, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7434, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9149, scimark_benchmark: 1356.5421, usercpu_time_millis: 69.783, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 67.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7924, kappa: 0.5813, kb_relative_information_score: 1475.8711, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.782, scimark_benchmark: 1735.7557, usercpu_time_millis: 4908.661, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 4906.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.773, kappa: 0.542, kb_relative_information_score: 1264.0748, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1360.6718, usercpu_time_millis: 1213.431, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 1209.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.794, kappa: 0.5845, kb_relative_information_score: 1444.383, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7824, scimark_benchmark: 1838.8902, usercpu_time_millis: 1418.077, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 1415.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1450.2249, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 2078.487, usercpu_time_millis: 1302.215, usercpu_time_millis_testing: 3.876, usercpu_time_millis_training: 1298.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1659.511, mean_absolute_error: 0.293, 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: 0.5902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7568, scimark_benchmark: 1833.2039, usercpu_time_millis: 4640.165, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 4638.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7361, kappa: 0.469, kb_relative_information_score: 912.2171, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8608, scimark_benchmark: 1359.6291, usercpu_time_millis: 259.124, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 257.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1346.9744, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1358.1162, usercpu_time_millis: 53.236, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 51.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8048, kappa: 0.6065, kb_relative_information_score: 1727.2445, mean_absolute_error: 0.2824, 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: 0.5688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1360.9045, usercpu_time_millis: 16448.407, usercpu_time_millis_testing: 5.31, usercpu_time_millis_training: 16443.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 1657.8544, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 1363.6786, usercpu_time_millis: 1452.847, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 1451.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7956, kappa: 0.5879, kb_relative_information_score: 1775.0214, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7758, scimark_benchmark: 1363.1286, usercpu_time_millis: 22658.9, usercpu_time_millis_testing: 4.16, usercpu_time_millis_training: 22654.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7771, kappa: 0.5502, kb_relative_information_score: 1396.0963, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7955, scimark_benchmark: 1359.6596, usercpu_time_millis: 3430.757, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 3428.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1569.2456, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7626, scimark_benchmark: 1356.3908, usercpu_time_millis: 4524.194, usercpu_time_millis_testing: 4.104, usercpu_time_millis_training: 4520.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1453.8738, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699, scimark_benchmark: 1839.7911, usercpu_time_millis: 207.278, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 205.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1021.2178, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8274, scimark_benchmark: 1869.4389, usercpu_time_millis: 76.326, usercpu_time_millis_testing: 3.824, usercpu_time_millis_training: 72.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8051, kappa: 0.6071, kb_relative_information_score: 1436.0742, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7667, scimark_benchmark: 1736.6874, usercpu_time_millis: 67.483, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 64.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7276, kappa: 0.4504, kb_relative_information_score: 670.0978, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7281, predictive_accuracy: 0.7286, prior_entropy: 0.9948, recall: 0.7286, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8875, scimark_benchmark: 1725.0345, usercpu_time_millis: 83.268, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 81.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 938.0463, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8415, scimark_benchmark: 1731.5003, usercpu_time_millis: 43.036, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 39.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7587, kappa: 0.5136, kb_relative_information_score: 932.7222, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1734.2259, usercpu_time_millis: 14.166, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 13.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7364, kappa: 0.4683, kb_relative_information_score: 708.5357, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1733.8194, usercpu_time_millis: 18.313, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 17.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1611.8825, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7579, scimark_benchmark: 1733.2167, usercpu_time_millis: 3147.716, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 3144.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7816, kappa: 0.5594, kb_relative_information_score: 1358.0638, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8014, scimark_benchmark: 1836.6789, usercpu_time_millis: 2809.865, usercpu_time_millis_testing: 2.697, usercpu_time_millis_training: 2807.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7997, kappa: 0.596, kb_relative_information_score: 1727.6438, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1372.0669, usercpu_time_millis: 26866.831, usercpu_time_millis_testing: 6.286, usercpu_time_millis_training: 26860.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1640.414, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 1729.7859, usercpu_time_millis: 1956.161, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 1954.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7719, kappa: 0.5399, kb_relative_information_score: 1248.3527, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143, scimark_benchmark: 2113.0114, usercpu_time_millis: 767.94, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 765.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.778, kappa: 0.5522, kb_relative_information_score: 1351.9331, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8042, scimark_benchmark: 2124.4564, usercpu_time_millis: 1441.237, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 1439.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1549.7288, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 1839.7911, usercpu_time_millis: 1471.095, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 1467.535,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1611.7752, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7592, scimark_benchmark: 1738.6277, usercpu_time_millis: 1185.623, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 1183.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7535, kappa: 0.5026, kb_relative_information_score: 1167.7838, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8338, scimark_benchmark: 1847.9181, usercpu_time_millis: 1115.533, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 1113.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7788, kappa: 0.5539, kb_relative_information_score: 1344.6664, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8008, scimark_benchmark: 1844.3569, usercpu_time_millis: 933.528, usercpu_time_millis_testing: 2.33, usercpu_time_millis_training: 931.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1388.8139, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7809, scimark_benchmark: 1843.3864, usercpu_time_millis: 690.496, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 687.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7537, kappa: 0.5029, kb_relative_information_score: 1150.6775, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1746.3231, usercpu_time_millis: 452.376, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 451.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1026, 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: 1349.7472, usercpu_time_millis: 7.472, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 5.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7954, kappa: 0.5875, kb_relative_information_score: 1499.9945, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7729, scimark_benchmark: 1360.9919, usercpu_time_millis: 65.139, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 64.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7651, kappa: 0.526, kb_relative_information_score: 1133.4405, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 1837.1955, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 419.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7377, kappa: 0.4727, kb_relative_information_score: 966.3434, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1844.2676, usercpu_time_millis: 351.968, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 350.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8058, kappa: 0.6082, kb_relative_information_score: 1660.4703, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7511, scimark_benchmark: 1360.958, usercpu_time_millis: 5513.579, usercpu_time_millis_testing: 4.196, usercpu_time_millis_training: 5509.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7372, kappa: 0.4715, kb_relative_information_score: 690.4424, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8899, scimark_benchmark: 1837.1955, usercpu_time_millis: 130.543, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 129.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7601, kappa: 0.5158, kb_relative_information_score: 1044.3927, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1838.1861, usercpu_time_millis: 88.909, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 87.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 818.7103, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7497, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8658, scimark_benchmark: 1846.4335, usercpu_time_millis: 17.977, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 17.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1369, 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: 1840.2451, usercpu_time_millis: 9.53, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 8.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7533, kappa: 0.5023, kb_relative_information_score: 1073.5313, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8445, scimark_benchmark: 1734.959, usercpu_time_millis: 28.284, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 27.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1450.2601, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901, scimark_benchmark: 1365.9069, usercpu_time_millis: 8059.396, usercpu_time_millis_testing: 3.623, usercpu_time_millis_training: 8055.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7609, kappa: 0.5176, kb_relative_information_score: 1309.1437, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8169, scimark_benchmark: 1358.2902, usercpu_time_millis: 3949.853, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 3947.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8037, kappa: 0.604, kb_relative_information_score: 1617.2469, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1751.383, usercpu_time_millis: 4014.9, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 4011.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8064, kappa: 0.6095, kb_relative_information_score: 1677.9679, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1754.0204, usercpu_time_millis: 3596.929, usercpu_time_millis_testing: 2.373, usercpu_time_millis_training: 3594.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1615.2443, mean_absolute_error: 0.3002, 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: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509, scimark_benchmark: 1747.9679, usercpu_time_millis: 1230.868, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 1226.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7967, kappa: 0.5899, kb_relative_information_score: 1421.1847, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7793, scimark_benchmark: 1754.2367, usercpu_time_millis: 411.972, usercpu_time_millis_testing: 1.996, usercpu_time_millis_training: 409.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1331, 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: 1363.1749, usercpu_time_millis: 9.518, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 7.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1656.5281, mean_absolute_error: 0.2937, 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: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1360.5651, usercpu_time_millis: 9272.792, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 9267.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1223.9155, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1347.499, usercpu_time_millis: 264.587, usercpu_time_millis_testing: 4.785, usercpu_time_millis_training: 259.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 877.1429, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7502, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8567, scimark_benchmark: 1355.3406, usercpu_time_millis: 261.934, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 259.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7527, kappa: 0.501, kb_relative_information_score: 1023.2949, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.422, root_relative_squared_error: 0.847, scimark_benchmark: 1818.7568, usercpu_time_millis: 38.008, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 37.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8085, kappa: 0.6139, kb_relative_information_score: 1749.1828, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7442, scimark_benchmark: 1361.9548, usercpu_time_millis: 4042.847, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 4035.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1476.6486, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7841, scimark_benchmark: 1352.1106, usercpu_time_millis: 7519.349, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 7516.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7884, kappa: 0.5731, kb_relative_information_score: 1248.2316, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.798, scimark_benchmark: 1735.0264, usercpu_time_millis: 139.595, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 137.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7927, kappa: 0.5819, kb_relative_information_score: 1540.3948, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1343.4827, usercpu_time_millis: 12699.125, usercpu_time_millis_testing: 4.136, usercpu_time_millis_training: 12694.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.777, kappa: 0.5499, kb_relative_information_score: 1346.7022, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8048, scimark_benchmark: 1361.6633, usercpu_time_millis: 134.658, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 133.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1530.3515, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7702, scimark_benchmark: 1356.7541, usercpu_time_millis: 8114.435, usercpu_time_millis_testing: 5.127, usercpu_time_millis_training: 8109.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 875.1875, mean_absolute_error: 0.3999, 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: 0.8055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1360.4928, usercpu_time_millis: 40.827, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 39.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7913, kappa: 0.5789, kb_relative_information_score: 1481.7741, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1361.0165, usercpu_time_millis: 1714.644, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 1712.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7037, kappa: 0.402, kb_relative_information_score: 551.8588, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7048, predictive_accuracy: 0.7054, prior_entropy: 0.9948, recall: 0.7054, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9063, scimark_benchmark: 1360.1601, usercpu_time_millis: 6.222, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 5.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.795, kappa: 0.5865, kb_relative_information_score: 1613.9043, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1371.113, usercpu_time_millis: 13066.309, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 13063.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7689, kappa: 0.5336, kb_relative_information_score: 1339.4358, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.811, scimark_benchmark: 1811.3287, usercpu_time_millis: 3422.914, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 3420.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1471.8426, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7731, scimark_benchmark: 1361.6224, usercpu_time_millis: 2034.529, usercpu_time_millis_testing: 4.305, usercpu_time_millis_training: 2030.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7628, kappa: 0.5214, kb_relative_information_score: 1157.0748, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1357.8895, usercpu_time_millis: 672.186, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 670.617,

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