|
11
|
1 Data 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
|
|
|
7 iter 1, gpnorm=4.2035e-02, nonzero= 1 ( 0.4%), function=6.931471805599e-01, alpha=1.0000e+00
|
|
|
8 iter 2, gpnorm=1.9781e-02, nonzero= 1 ( 0.4%), function=6.903943411116e-01, alpha=8.0000e-01
|
|
|
9 iter 3, gpnorm=6.0325e-03, nonzero= 1 ( 0.4%), function=6.896822613633e-01, alpha=6.4000e-01
|
|
|
10 iter 4, gpnorm=7.2193e-04, nonzero= 1 ( 0.4%), function=6.896101060279e-01, alpha=5.1200e-01
|
|
|
11 iter 5, gpnorm=1.0530e-05, nonzero= 1 ( 0.4%), function=6.896090566277e-01, alpha=4.0960e-01
|
|
|
12 iter 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
|
|
|
16 iter 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
|
|
|
20 iter 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
|
|
|
24 iter 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
|
|
|
28 iter 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
|
|
|
32 iter 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
|
|
|
36 iter 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
|
|
|
40 iter 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
|
|
|
44 iter 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
|
|
|
48 iter 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
|
|
|
52 iter 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
|
|
|
55 lambda=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
|
|
|
68 lambda=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
|
|
|
81 lambda=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
|
|
|
94 lambda=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
|
|
|
107 lambda=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
|
|
|
120 lambda=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
|
|
|
133 lambda=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
|
|
|
146 lambda=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
|
|
|
159 lambda=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
|
|
|
172 lambda=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
|
|
|
185 lambda=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
|
