Table of 99% credible intervals (CIs) for differences of b and d between strains with Topt ≤ 50 and Topt > 50. A 99% CI that includes zero indicates that there is a 99% probability that the two parame

NIAID Data Ecosystem60

Evaluation metrics for each classifier with set of ANN’s most important features.

分类器性能评估

神经网络特征选择

Evaluation metrics for each classifier with set of ANN’s most important features.

Figshare2023-06-07 更新10

Performance for the whole training set, 1 st degree classifiable and 1 st degree unclassifiable peptides employing the simplified machine learning approach with human-understandable attributes (ML-simple) for prediction of IVIG binding * .

肽性质预测

分类器性能评估

*Comparison of AUC and accuracy when the classifier was 10-fold cross-validated on all the peptides in the original training set, or on peptides that the first classifier classified correctly (1st deg

NIAID Data Ecosystem60

5-fold cross-validation performance and statistical comparison between CatBoost and Logistic regression models.

机器学习模型比较

分类器性能评估

5-fold cross-validation performance and statistical comparison between CatBoost and Logistic regression models.

NIAID Data Ecosystem20