Index of /genomic-ml/max-generalized-auc/data_Classif_constant

• Parent Directory
• CIFAR10_N=5623_seed=1_lr=0.0001_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=0.0001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=0.001_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=0.001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=0.01_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=0.01_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=0.1_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=0.1_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=1.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=1.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=10.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=10.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=100.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=100.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=1000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=1000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=10000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=10000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=1_lr=100000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=1_lr=100000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=0.0001_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=0.0001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=0.001_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=0.001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=0.01_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=0.01_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=0.1_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=0.1_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=1.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=1.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=10.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=10.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=100.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=100.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=1000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=1000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=10000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=10000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=2_lr=100000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=2_lr=100000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=0.0001_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=0.0001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=0.001_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=0.001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=0.01_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=0.01_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=0.1_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=0.1_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=1.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=1.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=10.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=10.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=100.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=100.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=1000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=1000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=10000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=10000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=3_lr=100000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=3_lr=100000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=0.0001_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=0.0001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=0.001_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=0.001_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=0.01_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=0.01_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=0.1_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=0.1_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=1.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=1.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=10.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=10.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=100.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=100.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=1000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=1000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=10000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=10000.0_loss=SquaredHinge.csv
• CIFAR10_N=5623_seed=4_lr=100000.0_loss=Logistic.csv
• CIFAR10_N=5623_seed=4_lr=100000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=0.0001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=0.001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=0.01_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=0.1_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=0.1_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=1.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=1.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=10.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=100.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=100.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=1000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=1000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=10000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=10000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=1_lr=100000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=1_lr=100000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=0.0001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=0.001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=0.01_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=0.1_loss=AUM.csv
• FashionMNIST_N=10000_seed=2_lr=0.1_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=1.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=2_lr=1.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=10.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=100.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=2_lr=100.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=1000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=10000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=2_lr=10000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=2_lr=100000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=2_lr=100000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=0.0001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=0.001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=0.01_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=0.1_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=0.1_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=1.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=10.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=10.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=100.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=100.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=1000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=1000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=10000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=10000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=3_lr=100000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=3_lr=100000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=0.0001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=0.001_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=0.01_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=0.1_loss=AUM.csv
• FashionMNIST_N=10000_seed=4_lr=0.1_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=1.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=4_lr=1.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=10.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=4_lr=10.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=100.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=1000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=4_lr=1000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=10000.0_loss=AUM.csv
• FashionMNIST_N=10000_seed=4_lr=10000.0_loss=SquaredHinge.csv
• FashionMNIST_N=10000_seed=4_lr=100000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=1_lr=0.0001_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=0.001_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=0.01_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=0.1_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=0.1_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=0.1_loss=SquaredHinge.csv
• MNIST_N=18032_seed=1_lr=1.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=10.0_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=10.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=10.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=1_lr=100.0_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=100.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=1000.0_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=1000.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=1000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=1_lr=10000.0_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=10000.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=10000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=1_lr=100000.0_loss=AUM.csv
• MNIST_N=18032_seed=1_lr=100000.0_loss=Logistic.csv
• MNIST_N=18032_seed=1_lr=100000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=0.0001_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=0.001_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=0.01_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=0.01_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=0.1_loss=AUM.csv
• MNIST_N=18032_seed=2_lr=0.1_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=0.1_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=1.0_loss=AUM.csv
• MNIST_N=18032_seed=2_lr=1.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=1.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=10.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=100.0_loss=AUM.csv
• MNIST_N=18032_seed=2_lr=100.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=100.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=1000.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=1000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=10000.0_loss=AUM.csv
• MNIST_N=18032_seed=2_lr=10000.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=10000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=2_lr=100000.0_loss=Logistic.csv
• MNIST_N=18032_seed=2_lr=100000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=3_lr=0.0001_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=0.001_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=0.001_loss=SquaredHinge.csv
• MNIST_N=18032_seed=3_lr=0.01_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=0.1_loss=AUM.csv
• MNIST_N=18032_seed=3_lr=0.1_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=1.0_loss=AUM.csv
• MNIST_N=18032_seed=3_lr=1.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=10.0_loss=AUM.csv
• MNIST_N=18032_seed=3_lr=10.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=100.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=1000.0_loss=AUM.csv
• MNIST_N=18032_seed=3_lr=1000.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=1000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=3_lr=10000.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=10000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=3_lr=100000.0_loss=Logistic.csv
• MNIST_N=18032_seed=3_lr=100000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=4_lr=0.0001_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=0.001_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=0.01_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=0.1_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=1.0_loss=AUM.csv
• MNIST_N=18032_seed=4_lr=1.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=1.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=4_lr=10.0_loss=AUM.csv
• MNIST_N=18032_seed=4_lr=10.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=100.0_loss=AUM.csv
• MNIST_N=18032_seed=4_lr=100.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=1000.0_loss=AUM.csv
• MNIST_N=18032_seed=4_lr=1000.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=1000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=4_lr=10000.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=10000.0_loss=SquaredHinge.csv
• MNIST_N=18032_seed=4_lr=100000.0_loss=Logistic.csv
• MNIST_N=18032_seed=4_lr=100000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=0.1_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=1.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=10.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=100.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=1000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=10000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=1_lr=100000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=0.1_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=1.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=10.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=100.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=1000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=10000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=2_lr=100000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=0.1_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=1.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=10.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=100.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=1000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=10000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=3_lr=100000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=0.01_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=0.1_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=1.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=10.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=100.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=1000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=10000.0_loss=SquaredHinge.csv
• STL10_N=1778_seed=4_lr=100000.0_loss=SquaredHinge.csv