Thesis

5B 129 MACHINE LEARNING PREDICTING RUNNING INJURIES Naïve Bayes in accuracy, precision, and f1 score but not in the recall or AUC. Table 2 presents the performance of Random Forest and Naïve Bayes. Figure 1. shows an example of the confusion matrix of the test set in combination with all features and Random Forest. Figure 1. An example of the confusion matrix of the Random Forest model using all features

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