Mercurial > repos > jjkoehorst > sapp
diff rnaseq/cutadapt/test-data/lps_arrhythmia_log.txt @ 11:a712b378e090
cutadapt added
| author | jjkoehorst <jasperkoehorst@gmail.com> |
|---|---|
| date | Sat, 21 Feb 2015 16:33:42 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/rnaseq/cutadapt/test-data/lps_arrhythmia_log.txt Sat Feb 21 16:33:42 2015 +0100 @@ -0,0 +1,197 @@ +Data set has 452 vectors with 279 features. + Sampled 452 points out of 452 + calculateLambdaMax: n=279, m=452, m+=245, m-=207 + computed value of lambda_max: 1.8231e+02 + + **** Initial point: nz=0, f= 0.69314718056, lambda= 1.641e+02 +iter 1, gpnorm=4.2035e-02, nonzero= 1 ( 0.4%), function=6.931471805599e-01, alpha=1.0000e+00 +iter 2, gpnorm=1.9781e-02, nonzero= 1 ( 0.4%), function=6.903943411116e-01, alpha=8.0000e-01 +iter 3, gpnorm=6.0325e-03, nonzero= 1 ( 0.4%), function=6.896822613633e-01, alpha=6.4000e-01 +iter 4, gpnorm=7.2193e-04, nonzero= 1 ( 0.4%), function=6.896101060279e-01, alpha=5.1200e-01 +iter 5, gpnorm=1.0530e-05, nonzero= 1 ( 0.4%), function=6.896090566277e-01, alpha=4.0960e-01 +iter 6, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 12, Gradient evals = 6.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 1.168e+02 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 8.310e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 5.914e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 4.209e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 2.996e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 2.132e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 1.517e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 1.080e+01 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 7.685e+00 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + + **** Initial point: nz=1, f= 0.689609056404, lambda= 5.469e+00 +iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01 + Function evals = 2, Gradient evals = 1.0 + +lambda=1.64e+02 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 6 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=1.17e+02 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=8.31e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=5.91e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=4.21e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=3.00e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=2.13e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=1.52e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=1.08e+01 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=7.68e+00 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. + +lambda=5.47e+00 solution: + optimal log-likelihood function value: 6.90e-01 + optimal *regularized* log-likelihood function value: 6.90e-01 + number of non-zeros at the optimum: 1 + number of iterations required: 1 + prediction using this solution: + 54.20% of vectors were correctly predicted. + 245 correctly predicted. + 207 in +1 predicted to be in -1. + 0 in -1 predicted to be in +1. + 0 in +1 with 50/50 chance. + 0 in -1 with 50/50 chance. +