5B 130 CHAPTER 5B Table 2. Performance of Random Forest and Naïve Bayes Algorithm Features Accuracy Precision Recall F1 algorithm AUC Injury prediction Precision Recall F1 Injury Random Forest All* 0.89 0.03 0.22 0.88 0.52 No injury 0.98 0.91 0.95 Injury 0.03 0.11 0.05 Bayes All 0.37 0.02 1.00 0.53 0.60 No injury 1.00 0.37 0.54 Injury 0.2 1.00 0.04 Random Forest Limited# 0.87 0.04 0.125 0.91 0.43 No injury 0.97 0.86 0.92 Injury 0.04 0.12 0.06 Naïve Bayes Limited 0.41 0.03 0.83 0.56 0.60 No injury 0.99 0.40 0.57 Injury 0.03 0.83 0.6 * All features are (i)the Acute:Chronic Workload Ratio, four weeks, three weeks, two weeks, one week before either an injury or not, (ii) the average Acute:Chronic Workload Ratio over two weeks before either an injury or not, (iii) the average Acute:Chronic Workload Ratio over two weeks, two weeks before either an injury or not. #The limited number of features are: the Acute:Chronic Workload Ratio, four weeks, three weeks, two weeks, before either an injury or not UAC = Area Under Curve
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