The intersection of the most contributing features ranked among the top 20 important features present in all the three best performing models.

The intersection of the most contributing features ranked among the top 20 important features present in all the three best performing models.

<p>The intersection of the most contributing features ranked among the top 20 important features present in all the three best performing models.</p>

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Bibliographic Details
Main Author: Shahrokh Mousavi (21989418) (author)
Other Authors: Zahrasadat Jalalian (21989421) (author), Sima Afrashteh (18117729) (author), Akram Farhadi (21989424) (author), Iraj Nabipour (86904) (author), Bagher Larijani (96114) (author)
Published: 2025
Subjects:
Biotechnology
Developmental Biology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
thrombotic vascular diseases
quadratic discriminant analysis
performed using imputation
performed hyperparameter tuning
interaction effects inherent
critical warning sign
based predictive modeling
svm ), k
752 ), svm
726 ), knn
two ensemble models
models &# 8217
highest auc values
direct diagnostic methods
congestive heart failure
address model complexity
knn ), linear
733 ), adaboost
697 ), mlp
rose angina questionnaire
develop machine learning
indicate angina pectoris
697 ),
machine learning
angina pectoris
scaling methods
renal failure
relevant linear
models could
following models
adaboost ).
dt ),
model performance
auc 0
probable angina
definite angina
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study demonstrated
random forest
pocosteo study
parameter uncertainty
nearest neighbors
mean age
logistic regression
largely attributed
fold cross
elderly community
dwelling population
clinical relevance
clinical data
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