Association between life’s crucial 9 and lung health: a population-based study

BMC Pulmonary Medicine

Table 3 Metrics of LightGBM model in predicting lung health

Outcome	AUC	Accuracy	Specificity
Cough
Top 30 variables	0.733	0.784	0.819
Top 22 variables	0.743	0.795	0.830
Top 15 variables	0.753	0.774	0.804
Phlegm
Top 30 variables	0.727	0.783	0.814
Top 22 variables	0.716	0.776	0.809
Top 15 variables	0.705	0.771	0.799
Wheeze
Top 30 variables	0.716	0.738	0.778
Top 22 variables	0.715	0.740	0.781
Top 15 variables	0.713	0.735	0.773
Asthma
Top 30 variables	0.680	0.763	0.815
Top 22 variables	0.676	0.758	0.809
Top 15 variables	0.681	0.737	0.777
Bronchitis
Top 30 variables	0.693	0.825	0.863
Top 22 variables	0.695	0.820	0.858
Top 15 variables	0.660	0.782	0.814
Emphysema
Top 30 variables	0.889	0.919	0.935
Top 22 variables	0.886	0.913	0.929
Top 15 variables	0.865	0.892	0.904
COPD
Top 30 variables	0.769	0.866	0.907
Top 22 variables	0.765	0.865	0.903
Top 15 variables	0.771	0.847	0.875

ISSN: 1471-2466