Logistic regression
Benchmarks
TaskDatasetSOTA resultTrendResults
Logistic regression d=50, K=20, epsilon=0.2 varying per-task sample size n (test)
1.437Local Error
102
Logistic regression sparsity-inducing prior
0.028KSD
9
Logistic Regression Identity Σa
96.5Coverage (%)
7
Logistic Regression model
88.72Empirical Coverage
6
Logistic Regression Online Binary
2Total Complexity
3
Logistic regression d=2
—Primary metric
0
Logistic regression
—Primary metric
0