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[fig1] ridge: {'null_mean': 0.34245413903146277, 'null_q95': 0.8623590864893604, 'important_mean': 1.8690211492810584, 'important_q05': 0.9930253632414091, 'separation_ratio': 5.45772684940258, 'auc_important_over_null': 0.994141}
[fig1] lasso: {'null_mean': 0.3146891806350068, 'null_q95': 0.8268105481388315, 'important_mean': 1.8739225446274685, 'important_q05': 0.9747819478407145, 'separation_ratio': 5.954836263662155, 'auc_important_over_null': 0.994232}
[rate-n ridge lam=1e-3] delta=0.5: exp=-0.5727 (pred -0.5) tail_exp=-0.5446 R2=0.9980
[rate-n ridge lam=1e-3] delta=0.1: exp=-0.5903 (pred -0.5) tail_exp=-0.5435 R2=0.9966
[rate-n ridge lam=1e-3] delta=0.05: exp=-0.6004 (pred -0.5) tail_exp=-0.5447 R2=0.9951
[rate-n ridge lam=1e-3] delta=0.01: exp=-0.5880 (pred -0.5) tail_exp=-0.5380 R2=0.9952
[rate-delta ridge lam=1e-3] exp on log(1/delta)=+0.7213 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9935
[rate-n ridge lam=1e-2] delta=0.5: exp=-0.5660 (pred -0.5) tail_exp=-0.5396 R2=0.9981
[rate-n ridge lam=1e-2] delta=0.1: exp=-0.5798 (pred -0.5) tail_exp=-0.5447 R2=0.9979
[rate-n ridge lam=1e-2] delta=0.05: exp=-0.5883 (pred -0.5) tail_exp=-0.5511 R2=0.9968
[rate-n ridge lam=1e-2] delta=0.01: exp=-0.5797 (pred -0.5) tail_exp=-0.5411 R2=0.9957
[rate-delta ridge lam=1e-2] exp on log(1/delta)=+0.7189 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9923
[rate-n ridge lam=1e-1] delta=0.5: exp=-0.5077 (pred -0.5) tail_exp=-0.4972 R2=0.9980
[rate-n ridge lam=1e-1] delta=0.1: exp=-0.5092 (pred -0.5) tail_exp=-0.4981 R2=0.9988
[rate-n ridge lam=1e-1] delta=0.05: exp=-0.4919 (pred -0.5) tail_exp=-0.4872 R2=0.9979
[rate-n ridge lam=1e-1] delta=0.01: exp=-0.4879 (pred -0.5) tail_exp=-0.3693 R2=0.9849
[rate-delta ridge lam=1e-1] exp on log(1/delta)=+0.8069 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9780
[rate-n ridge lam=1e-6] delta=0.5: exp=-0.5729 (pred -0.5) tail_exp=-0.5404 R2=0.9976
[rate-n ridge lam=1e-6] delta=0.1: exp=-0.5912 (pred -0.5) tail_exp=-0.5453 R2=0.9966
[rate-n ridge lam=1e-6] delta=0.05: exp=-0.6010 (pred -0.5) tail_exp=-0.5446 R2=0.9949
[rate-n ridge lam=1e-6] delta=0.01: exp=-0.5893 (pred -0.5) tail_exp=-0.5376 R2=0.9949
[rate-delta ridge lam=1e-6] exp on log(1/delta)=+0.7208 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9937
[rate-n ridge t2 design] delta=0.5: exp=-0.6408 (pred -0.5) tail_exp=-0.4946 R2=0.9867
[rate-n ridge t2 design] delta=0.1: exp=-0.6681 (pred -0.5) tail_exp=-0.5601 R2=0.9841
[rate-n ridge t2 design] delta=0.05: exp=-0.6832 (pred -0.5) tail_exp=-0.5765 R2=0.9871
[rate-n ridge t2 design] delta=0.01: exp=-0.8824 (pred -0.5) tail_exp=-0.7036 R2=0.5686
[rate-delta ridge t2 design] exp on log(1/delta)=+0.8812 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9447
[rate-n lasso lam=1e-2] delta=0.5: exp=-0.7112 (pred -0.5) tail_exp=-0.8736 R2=0.9938
[rate-n lasso lam=1e-2] delta=0.1: exp=-0.6474 (pred -0.5) tail_exp=-0.6413 R2=0.9992
[rate-n lasso lam=1e-2] delta=0.05: exp=-0.6402 (pred -0.5) tail_exp=-0.6086 R2=0.9982
[rate-n lasso lam=1e-2] delta=0.01: exp=-0.6351 (pred -0.5) tail_exp=-0.6783 R2=0.9973
[rate-delta lasso lam=1e-2] exp on log(1/delta)=+0.9686 (pred +0.5), R2(linear in sqrt(log(1/delta)))=0.9980
[nu/rho] null q95 exponent=-0.5650 (pred -0.5); important exponent=-0.0622
[nu/rho] null q95=[1.00988, 0.51033, 0.34157, 0.25468, 0.18194, 0.11961, 0.08474]
[nu/rho] imp q95=[2.00053, 1.69633, 1.55014, 1.55283, 1.53381, 1.46959, 1.47719]
wrote /home/ubuntu/samuel/semiknockoffs-repro/outputs/claim3_stability.json

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