annotate 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
parents
children
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11
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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1 Data set has 452 vectors with 279 features.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
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2 Sampled 452 points out of 452
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
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3 calculateLambdaMax: n=279, m=452, m+=245, m-=207
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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4 computed value of lambda_max: 1.8231e+02
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
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5
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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6 **** Initial point: nz=0, f= 0.69314718056, lambda= 1.641e+02
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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7 iter 1, gpnorm=4.2035e-02, nonzero= 1 ( 0.4%), function=6.931471805599e-01, alpha=1.0000e+00
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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8 iter 2, gpnorm=1.9781e-02, nonzero= 1 ( 0.4%), function=6.903943411116e-01, alpha=8.0000e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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9 iter 3, gpnorm=6.0325e-03, nonzero= 1 ( 0.4%), function=6.896822613633e-01, alpha=6.4000e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
10 iter 4, gpnorm=7.2193e-04, nonzero= 1 ( 0.4%), function=6.896101060279e-01, alpha=5.1200e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
11 iter 5, gpnorm=1.0530e-05, nonzero= 1 ( 0.4%), function=6.896090566277e-01, alpha=4.0960e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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12 iter 6, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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13 Function evals = 12, Gradient evals = 6.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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14
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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15 **** Initial point: nz=1, f= 0.689609056404, lambda= 1.168e+02
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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16 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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17 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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18
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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19 **** Initial point: nz=1, f= 0.689609056404, lambda= 8.310e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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20 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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21 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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22
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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23 **** Initial point: nz=1, f= 0.689609056404, lambda= 5.914e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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24 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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25 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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26
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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27 **** Initial point: nz=1, f= 0.689609056404, lambda= 4.209e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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28 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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29 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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30
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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31 **** Initial point: nz=1, f= 0.689609056404, lambda= 2.996e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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32 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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33 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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34
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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35 **** Initial point: nz=1, f= 0.689609056404, lambda= 2.132e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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36 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
37 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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38
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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39 **** Initial point: nz=1, f= 0.689609056404, lambda= 1.517e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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40 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
41 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
42
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
43 **** Initial point: nz=1, f= 0.689609056404, lambda= 1.080e+01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
44 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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45 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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46
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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47 **** Initial point: nz=1, f= 0.689609056404, lambda= 7.685e+00
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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48 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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49 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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50
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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51 **** Initial point: nz=1, f= 0.689609056404, lambda= 5.469e+00
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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52 iter 1, gpnorm=1.7618e-09, nonzero= 1 ( 0.4%), function=6.896090564044e-01, alpha=3.2768e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
53 Function evals = 2, Gradient evals = 1.0
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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54
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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55 lambda=1.64e+02 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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56 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
57 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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58 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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59 number of iterations required: 6
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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60 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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61 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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62 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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63 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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64 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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65 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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66 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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67
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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68 lambda=1.17e+02 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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69 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
70 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
71 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
72 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
73 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
74 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
75 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
76 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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77 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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78 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
79 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
80
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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81 lambda=8.31e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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82 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
83 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
84 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
85 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
86 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
87 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
88 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
89 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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90 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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91 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
92 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
93
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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94 lambda=5.91e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
95 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
96 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
97 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
98 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
99 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
100 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
101 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
102 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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103 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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104 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
105 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
106
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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107 lambda=4.21e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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108 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
109 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
110 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
111 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
112 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
113 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
114 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
115 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
116 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
117 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
118 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
119
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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120 lambda=3.00e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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121 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
122 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
123 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
124 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
125 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
126 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
127 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
128 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
129 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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130 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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131 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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132
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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133 lambda=2.13e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
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134 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
135 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
136 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
137 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
138 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
139 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
140 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
141 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
142 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
143 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
144 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
145
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
146 lambda=1.52e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
147 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
148 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
149 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
150 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
151 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
152 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
153 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
154 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
155 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
156 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
157 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
158
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
159 lambda=1.08e+01 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
160 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
161 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
162 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
163 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
164 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
165 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
166 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
167 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
168 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
169 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
170 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
171
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
172 lambda=7.68e+00 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
173 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
174 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
175 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
176 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
177 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
178 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
179 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
180 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
181 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
182 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
183 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
184
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
185 lambda=5.47e+00 solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
186 optimal log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
187 optimal *regularized* log-likelihood function value: 6.90e-01
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
188 number of non-zeros at the optimum: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
189 number of iterations required: 1
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
190 prediction using this solution:
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
191 54.20% of vectors were correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
192 245 correctly predicted.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
193 207 in +1 predicted to be in -1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
194 0 in -1 predicted to be in +1.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
195 0 in +1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
196 0 in -1 with 50/50 chance.
a712b378e090 cutadapt added
jjkoehorst <jasperkoehorst@gmail.com>
parents:
diff changeset
197