The performance comparison of the feature sets.

Figshare2018-11-20 更新2026-04-29 收录

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The performance comparison of the feature sets.

创建时间：

2018-11-20

The performance comparisons of intensity features, texture features, and the combination of both feature sets.

NIAID Data Ecosystem20

Comparison of classification performance of SVM Models on different feature sets.

Figshare2025-12-23 更新10

Performance comparison on different test sets.

The seamless integration of shared bikes and metro systems promotes green and eco-friendly travel, yet the supply-demand imbalance of shared bikes around metro stations remains a critical challenge, m

Figshare2025-07-15 更新30

Performance of different feature sets.

Shown are the accuracy, recall and precision for the tuned XGBoost classifier with the “Top 13” Features described earlier. The hyperparameters are as described in Table 7.

Figshare2023-07-25 更新00

Summary of the performance of the four feature sets.

**80,000 feature/kernel degree combinations using the Hybrid Feature Set had F1 scores in the range of 0.63–0.73 on the training data set, and all of these feature/kernel degree combinations were test

NIAID Data Ecosystem20