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