Table 1 Comparative analysis of prediction model differences under different machine learning algorithms.

From: Building a prediction model of college students’ sports behavior based on machine learning method: combining the characteristics of sports learning interest and sports autonomy

 

ACC

RECALL

F1 score

Logistic regression

0.7288

0.7590

0.7397

KNN

0.6895

0.7596

0.7096

Naive Bayes

0.7166

0.6703

0.6864

LDA

0.7263

0.7290

0.7265

Support vector machine

0.6563

0.7700

0.6845

GBDT

0.6953

0.7039

0.6989

Number of decisions

0.6872

0.6507

0.6672

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