I do not understand either, why you used the loop, because you can have the same functionality of the code by removing it and adjusting your code: import matplotlib.pyplot as plt from sklearn.metrics import precision_score from sklearn.metrics import recall_score from sklearn.m...
Nearest type SVM SVM + CNN BiLSTM Precision 30.30 55.39 71.11 80.11 83.11 Recall 82.94 76.36 72.74 70.26 74.77 F1-Score 44.39 64.21 71.91 74.86 78.98 Extrinsic Evaluation – MIR Mathematical Information Retrieval (MIR): ● Retrieval of mathematical information needs, expressed as text and formulae....
The classification resulted in a mean precision of 0.78, mean recall of 0.70 and mean F1 score of 0.74. The most relevant features were related to the range of the hip flexion-extension angle for gait, and to movement variability for tandem gait. Our results suggest that classification, ...