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/test-data/lps_arrhythmia_log.txt

https://bitbucket.org/cistrome/cistrome-harvard/
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  1Data set has 452 vectors with 279 features.
  2 Sampled 452 points out of 452
  3 calculateLambdaMax: n=279, m=452, m+=245, m-=207
  4 computed value of lambda_max: 1.8231e+02
  5
  6 **** Initial point: nz=0, f=   0.69314718056, lambda= 1.641e+02
  7iter    1, gpnorm=4.2035e-02, nonzero=   1 (  0.4%), function=6.931471805599e-01, alpha=1.0000e+00
  8iter    2, gpnorm=1.9781e-02, nonzero=   1 (  0.4%), function=6.903943411116e-01, alpha=8.0000e-01
  9iter    3, gpnorm=6.0325e-03, nonzero=   1 (  0.4%), function=6.896822613633e-01, alpha=6.4000e-01
 10iter    4, gpnorm=7.2193e-04, nonzero=   1 (  0.4%), function=6.896101060279e-01, alpha=5.1200e-01
 11iter    5, gpnorm=1.0530e-05, nonzero=   1 (  0.4%), function=6.896090566277e-01, alpha=4.0960e-01
 12iter    6, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 13 Function evals = 12,  Gradient evals =        6.0
 14
 15 **** Initial point: nz=1, f=  0.689609056404, lambda= 1.168e+02
 16iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 17 Function evals = 2,  Gradient evals =        1.0
 18
 19 **** Initial point: nz=1, f=  0.689609056404, lambda= 8.310e+01
 20iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 21 Function evals = 2,  Gradient evals =        1.0
 22
 23 **** Initial point: nz=1, f=  0.689609056404, lambda= 5.914e+01
 24iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 25 Function evals = 2,  Gradient evals =        1.0
 26
 27 **** Initial point: nz=1, f=  0.689609056404, lambda= 4.209e+01
 28iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 29 Function evals = 2,  Gradient evals =        1.0
 30
 31 **** Initial point: nz=1, f=  0.689609056404, lambda= 2.996e+01
 32iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 33 Function evals = 2,  Gradient evals =        1.0
 34
 35 **** Initial point: nz=1, f=  0.689609056404, lambda= 2.132e+01
 36iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 37 Function evals = 2,  Gradient evals =        1.0
 38
 39 **** Initial point: nz=1, f=  0.689609056404, lambda= 1.517e+01
 40iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 41 Function evals = 2,  Gradient evals =        1.0
 42
 43 **** Initial point: nz=1, f=  0.689609056404, lambda= 1.080e+01
 44iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 45 Function evals = 2,  Gradient evals =        1.0
 46
 47 **** Initial point: nz=1, f=  0.689609056404, lambda= 7.685e+00
 48iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 49 Function evals = 2,  Gradient evals =        1.0
 50
 51 **** Initial point: nz=1, f=  0.689609056404, lambda= 5.469e+00
 52iter    1, gpnorm=1.7618e-09, nonzero=   1 (  0.4%), function=6.896090564044e-01, alpha=3.2768e-01
 53 Function evals = 2,  Gradient evals =        1.0
 54
 55lambda=1.64e+02 solution:
 56  optimal log-likelihood function value: 6.90e-01
 57  optimal *regularized* log-likelihood function value: 6.90e-01
 58  number of non-zeros at the optimum:      1
 59  number of iterations required:      6
 60  prediction using this solution:
 61    54.20% of vectors were correctly predicted.
 62    245 correctly predicted.
 63    207 in +1 predicted to be in -1.
 64    0 in -1 predicted to be in +1.
 65    0 in +1 with 50/50 chance.
 66    0 in -1 with 50/50 chance.
 67
 68lambda=1.17e+02 solution:
 69  optimal log-likelihood function value: 6.90e-01
 70  optimal *regularized* log-likelihood function value: 6.90e-01
 71  number of non-zeros at the optimum:      1
 72  number of iterations required:      1
 73  prediction using this solution:
 74    54.20% of vectors were correctly predicted.
 75    245 correctly predicted.
 76    207 in +1 predicted to be in -1.
 77    0 in -1 predicted to be in +1.
 78    0 in +1 with 50/50 chance.
 79    0 in -1 with 50/50 chance.
 80
 81lambda=8.31e+01 solution:
 82  optimal log-likelihood function value: 6.90e-01
 83  optimal *regularized* log-likelihood function value: 6.90e-01
 84  number of non-zeros at the optimum:      1
 85  number of iterations required:      1
 86  prediction using this solution:
 87    54.20% of vectors were correctly predicted.
 88    245 correctly predicted.
 89    207 in +1 predicted to be in -1.
 90    0 in -1 predicted to be in +1.
 91    0 in +1 with 50/50 chance.
 92    0 in -1 with 50/50 chance.
 93
 94lambda=5.91e+01 solution:
 95  optimal log-likelihood function value: 6.90e-01
 96  optimal *regularized* log-likelihood function value: 6.90e-01
 97  number of non-zeros at the optimum:      1
 98  number of iterations required:      1
 99  prediction using this solution:
100    54.20% of vectors were correctly predicted.
101    245 correctly predicted.
102    207 in +1 predicted to be in -1.
103    0 in -1 predicted to be in +1.
104    0 in +1 with 50/50 chance.
105    0 in -1 with 50/50 chance.
106
107lambda=4.21e+01 solution:
108  optimal log-likelihood function value: 6.90e-01
109  optimal *regularized* log-likelihood function value: 6.90e-01
110  number of non-zeros at the optimum:      1
111  number of iterations required:      1
112  prediction using this solution:
113    54.20% of vectors were correctly predicted.
114    245 correctly predicted.
115    207 in +1 predicted to be in -1.
116    0 in -1 predicted to be in +1.
117    0 in +1 with 50/50 chance.
118    0 in -1 with 50/50 chance.
119
120lambda=3.00e+01 solution:
121  optimal log-likelihood function value: 6.90e-01
122  optimal *regularized* log-likelihood function value: 6.90e-01
123  number of non-zeros at the optimum:      1
124  number of iterations required:      1
125  prediction using this solution:
126    54.20% of vectors were correctly predicted.
127    245 correctly predicted.
128    207 in +1 predicted to be in -1.
129    0 in -1 predicted to be in +1.
130    0 in +1 with 50/50 chance.
131    0 in -1 with 50/50 chance.
132
133lambda=2.13e+01 solution:
134  optimal log-likelihood function value: 6.90e-01
135  optimal *regularized* log-likelihood function value: 6.90e-01
136  number of non-zeros at the optimum:      1
137  number of iterations required:      1
138  prediction using this solution:
139    54.20% of vectors were correctly predicted.
140    245 correctly predicted.
141    207 in +1 predicted to be in -1.
142    0 in -1 predicted to be in +1.
143    0 in +1 with 50/50 chance.
144    0 in -1 with 50/50 chance.
145
146lambda=1.52e+01 solution:
147  optimal log-likelihood function value: 6.90e-01
148  optimal *regularized* log-likelihood function value: 6.90e-01
149  number of non-zeros at the optimum:      1
150  number of iterations required:      1
151  prediction using this solution:
152    54.20% of vectors were correctly predicted.
153    245 correctly predicted.
154    207 in +1 predicted to be in -1.
155    0 in -1 predicted to be in +1.
156    0 in +1 with 50/50 chance.
157    0 in -1 with 50/50 chance.
158
159lambda=1.08e+01 solution:
160  optimal log-likelihood function value: 6.90e-01
161  optimal *regularized* log-likelihood function value: 6.90e-01
162  number of non-zeros at the optimum:      1
163  number of iterations required:      1
164  prediction using this solution:
165    54.20% of vectors were correctly predicted.
166    245 correctly predicted.
167    207 in +1 predicted to be in -1.
168    0 in -1 predicted to be in +1.
169    0 in +1 with 50/50 chance.
170    0 in -1 with 50/50 chance.
171
172lambda=7.68e+00 solution:
173  optimal log-likelihood function value: 6.90e-01
174  optimal *regularized* log-likelihood function value: 6.90e-01
175  number of non-zeros at the optimum:      1
176  number of iterations required:      1
177  prediction using this solution:
178    54.20% of vectors were correctly predicted.
179    245 correctly predicted.
180    207 in +1 predicted to be in -1.
181    0 in -1 predicted to be in +1.
182    0 in +1 with 50/50 chance.
183    0 in -1 with 50/50 chance.
184
185lambda=5.47e+00 solution:
186  optimal log-likelihood function value: 6.90e-01
187  optimal *regularized* log-likelihood function value: 6.90e-01
188  number of non-zeros at the optimum:      1
189  number of iterations required:      1
190  prediction using this solution:
191    54.20% of vectors were correctly predicted.
192    245 correctly predicted.
193    207 in +1 predicted to be in -1.
194    0 in -1 predicted to be in +1.
195    0 in +1 with 50/50 chance.
196    0 in -1 with 50/50 chance.
197