PCA Classifier
收藏kaggle2024-04-07 更新2024-04-26 收录
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2024-04-07
相关数据集
PCA-SPE-KNN, PCA-SPE-SVM, CNN classifier metric evaluation.
PCA-SPE-KNN, PCA-SPE-SVM, CNN classifier metric evaluation.
NIAID Data Ecosystem00
Mean values and standard deviations of balanced accuracy across the five considered techniques: Classifier based on whole image as a vector, classifier based on glcm parameters, classifier based on averaged image over columns and rows, classifier based on pca results from an image, and classifier based on the combination of the pca results and the glcm parameters.
The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).
NIAID Data Ecosystem20
GWAS PCA is compared to Paschou PCA, GWAS control PCA and GWAS LD PCA.
Correlations to the GWAS PCs that are greater than 0.1 are shown for the first 4 PCs.
Figshare2015-12-02 更新00
PCA-SPE-KNN, PCA-SPE-SVM, CNN classifier metric evaluation.
PCA-SPE-KNN, PCA-SPE-SVM, CNN classifier metric evaluation.
Figshare2025-01-16 更新00
GWAS PCA is compared to Paschou PCA, GWAS control PCA and GWAS LD PCA.
Correlations to the GWAS PCs that are greater than 0.1 are shown for the first 4 PCs.
NIAID Data Ecosystem30



