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Distribution of model ranks based on test set F1-score (25 datasets)

Distribution of model ranks based on test set F1-score (25 datasets)

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Figure 1: Distribution of model ranks based on test set F1-score (25...
Distribution of model ranks based on test set F1-score (25 datasets)
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Scalable Gradient Boosting using Randomized Neural Networks
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  • Nov 2024
This paper presents a gradient boosting machine inspired by the LS Boost model introduced in [Friedman, 2001]. Instead of using linear least squares models as base learners, the proposed algorithm is model-agnostic and employs randomized neural networks. The combination of gradient boosting and randomized neural network base learners provides a pow...
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... mfeat-fourier [Breiman, 2001] and XGBoost [Chen and Guestrin, 2016] classifiers on hold-out set cross-validation, using F1-score as an error metric. The summarized results (model ranks based on test set F1-score) are presented in (Figure 1) and (Table 1), and demonstrate the robustness of the GenericGradientBooster on this given task. ...