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Table 4 10-fold cross validation performance among the best performing model after C and \( \boldsymbol{\gamma} \) optimization and the model using default C and \( \boldsymbol{\gamma} \). (F: F-1 score; P: precision; R: recall; for the categories that do not indicate the metric, F-1 score are used)

From: Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets

Model Model using default C and \( \boldsymbol{\gamma} \) Best model using optimized \( \boldsymbol{\gamma} \) only Best model using optimized C and \( \boldsymbol{\gamma} \)
Micro-averaging F 0.73 0.7352 0.7442
Macro-averaging P 0.5477 0.6889 0.6873
  R 0.4576 0.5095 0.5142
F 0.4986 0.5858 0.5883
Unrelated 0.8044 0.8538 0.8633
Neutral 0.5792 0.6330 0.6470
Positive 0.6528 0.7239 0.7255
NegSafety 0.7006 0.7641 0.7617
NegEfficacy 0 0.4138 0.4068
NegCost 0 0.5 0.5
NegResistant 0 0 0
NegOthers 0.155 0.5144 0.5403