Barely Significant

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highly significantqualifiedgold
The RFE function from the RFE class provided by the scikit-learn Python machine learning library has been employed here for implementation To explore the highly significant attributes that would yield the best performing accuracy when used in machine learning models, each type of feature selection approach selects the top 35, 30, 25, and 20 features from the PCOS dataset of 40 features.
Compared with the Blank group, the HFD group has greater weight (q = 16.05, df = 25, and P < 0.0001) and larger oil red staining area of the liver (t = 15.94, df = 5.571, and P < 0.001) as well as higher TG levels (t = 7.271, df = 5.188, and P < 0.01), and the difference in weight and oil red staining area between the two groups is extremely significant.