Fig 1.
Overview of all deep learning (DL) architectures, comprising one Convolutional Neural Network (CNN) and nine Deep Neural Network (DNN) model configurations.
Fig 2.
Performance comparison of different deep learning models on the training dataset.
Fig 3.
The performance of the top 10 ensemble models on the training dataset.
Fig 4.
The overview of EnsembleDL-Lipo.
Fig 5.
The ROC, PR, accuracy-loss and UMAP of EnsembleDL-Lipo on an independent test set.
Table 1.
Performance comparison of EnsembleDL-ATG and two exiting methods on the training and independent test datasets.