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资源简介：
The false positives etc for the pillar project
应用场景：
创建时间：
2018-05-17
相关数据集
Performance of the model in predicting flight traffic over the entire airspace after adding different features. Where dark colored numbers are optimal and underlined numbers are sub-optimal.
Performance of the model in predicting flight traffic over the entire airspace after adding different features. Where dark colored numbers are optimal and underlined numbers are sub-optimal.
NIAID Data Ecosystem30
Definitions of false-negative and false-positive severe dengue cases in the test dataset, using ANN model prediction.
Definitions of false-negative and false-positive severe dengue cases in the test dataset, using ANN model prediction.
NIAID Data Ecosystem20
Accuracy, standard deviation and p-values.
The accuracy is the average across the 20 runs with different random data partitions. P-values are calculated using the optimized custom CNN as pivot.
NIAID Data Ecosystem10
The optimal parameters and performance of BPB-PPMS.
The optimal parameter combination was determined in a grid-based manner introduced in LIBSVM packages[11]. (a)Here, input window size for SVMs is two times sliding window size. (b)RBF, Radial Basis Fu
NIAID Data Ecosystem30
Quantitative metrics for no re-initialization models before and after improvement to the coin data source.
Quantitative metrics for no re-initialization models before and after improvement to the coin data source.
Figshare2023-06-21 更新10
