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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, average_cost: 16.1855, build_cpu_time: 0.2734, build_memory: 1282584201.466, f_measure: 0.7611, kappa: 0.0309, kb_relative_information_score: 79205.7848, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7378, predictive_accuracy: 0.8156, prior_entropy: 0.653, recall: 0.8156, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4294, root_relative_squared_error: 1.1487, scimark_benchmark: 1653.3682, total_cost: 6465800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.794, build_cpu_time: 24.0053, build_memory: 1112281802.0612, f_measure: 0.7558, kb_relative_information_score: 107768.589, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.6923, predictive_accuracy: 0.8321, prior_entropy: 0.653, recall: 0.8321, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0963, scimark_benchmark: 1587.2228, total_cost: 6708900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, average_cost: 16.125, build_cpu_time: 0.9313, build_memory: 947986905.7547, f_measure: 0.7642, kappa: 0.0415, kb_relative_information_score: 67875.194, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7466, predictive_accuracy: 0.8208, prior_entropy: 0.653, recall: 0.8208, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0848, scimark_benchmark: 1587.2228, total_cost: 6441630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, average_cost: 15.5013, build_cpu_time: 1.4076, build_memory: 1064668121.1997, f_measure: 0.7801, kappa: 0.1052, kb_relative_information_score: 111512.3208, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2795, number_of_instances: 399482, precision: 0.7916, predictive_accuracy: 0.8342, prior_entropy: 0.653, recall: 0.8342, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3738, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0892, scimark_benchmark: 1587.2228, total_cost: 6192510,