Fig 5 - Shallow and deep learning for event relatedness classification

Fig. 5. Resampling-based evaluation: boxplots of the performance of all compared learning methods based on 5 repetitions of a 2-fold CV (CV.5x2), 10-fold CV (CV.10), 30-fold CV (CV.30) and 30 iterations of random subsampling (SS.30).

Resampling-based evaluation: boxplots of the performance of all compared learning methods based on 5 repetitions of a 2-fold CV (CV.5x2), 10-fold CV (CV.10), 30-fold CV (CV.30) and 30 iterations of random subsampling (SS.30).

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Reference

Shallow and deep learning for event relatedness classification - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/Resampling-based-evaluation-boxplots-of-the-performance-of-all-compared-learning-methods_fig2_343757733 [accessed 22 Mar, 2023]

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Fig. 5. Resampling-based evaluation: boxplots of the performance of all compared learning methods based on 5 repetitions of a 2-fold CV (CV.5x2), 10-fold CV (CV.10), 30-fold CV (CV.30) and 30 iterations of random subsampling (SS.30).

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<a href="https://www.researchgate.net/figure/Resampling-based-evaluation-boxplots-of-the-performance-of-all-compared-learning-methods_fig2_343757733"><img src="https://www.researchgate.net/publication/343757733/figure/fig2/AS:926424181510161@1597888145792/Resampling-based-evaluation-boxplots-of-the-performance-of-all-compared-learning-methods.png" alt="Resampling-based evaluation: boxplots of the performance of all compared learning methods based on 5 repetitions of a 2-fold CV (CV.5x2), 10-fold CV (CV.10), 30-fold CV (CV.30) and 30 iterations of random subsampling (SS.30)."/></a>