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Exploratory Data Analysis on test-set predictions by model
Box-plot of models on the 10-fold predictions on the test-set. The red line is the ensembled accuracy/MSE.
10-fold training - testset 10%
CNN-config
MSE, ACC*
Box plot model error summary
summary statistics
prediction error
prediction residual
residuals misclassificaiton**
EffNetV2 Medium, middle expo.
(0.724 0.292) (0.724, 0.295)
[0.5, 1.5):135, [1.5, \inf):7, sum:142
EffNet B6, min expo
(0.734, 0.272) (0.740, 0.268)
[0.5, 1.5):128, [1.5, \inf):9, sum:137
EffNet B5, min expo
(0.744, 0.277) (0.736, 0.272)
[0.5, 1.5):125, [1.5, \inf):7, sum:132
EffNet B4, min expo
(0.728, 0.277) (0.732, 0.273)
[0.5, 1.5):132, [1.5, \inf):8, sum:140
* First 2 numbers is mean MSE, and ACCuracy across 10 models from the 10-fold split, then the second 2 numbers are mean MSE, ACCuracy across 10 models but excluding max/min predictions on each image in the test set
** Numbers at the bottom are errors larger than 0.5 results in a 1 year misclassification error, 1.5 results in 2 years missclassification error and so on
Residual accuracy and standard deviation pr age for each model
Age/CNN
l_all
l_middle
m_min
m_middle
m_max
m_all
b4_min
b4_middle
b4_max
b5_min
b6_min
b6_middle
b6_max
1
0.11
0.09
0.13
0.15
0.16
0.12
0.04
0.05
0
0.07
0.14
0.1
0.2
2
0.14
0.12
0.1
0.14
0.16
0.13
0.14
0.11
0.1
0.17
0.17
0.12
0.14
3
-0.05
-0.07
-0.04
-0.03
-0.03
-0.04
-0.03
-0.07
-0.03
-0
-0.05
-0.1
-0.06
4
0.05
0.03
0.07
0.06
0.08
0.08
0.08
0.04
0.02
0.1
0.07
0.04
0.04
5
-0.05
-0.05
0
-0.02
-0.02
-0.03
-0.01
-0.04
-0.03
-0.01
-0.02
-0.05
-0.04
6
0.08
0.05
0.08
0.04
0.09
0.07
0.18
0.18
0.2
0.13
0.16
0.13
0.12
7
-0.1
-0.14
-0.09
-0.09
-0.04
-0.09
0.04
0.03
-0.01
0.02
0.01
0.01
0.02
8
0.12
0.11
0.14
0.11
0.15
0.13
0.27
0.21
0.21
0.25
0.18
0.23
0.26
9
-0.12
-0.14
-0.11
-0.14
-0.13
-0.12
0.11
0.12
0.07
0.19
0.12
0.14
0.11
10
-0.23
-0.24
-0.11
-0.2
-0.22
-0.19
0.01
0.05
-0.04
0.06
-0.1
-0
-0.02
11
-0.79
-0.83
-0.66
-0.81
-0.78
-0.7
-0.41
-0.44
-0.45
-0.43
-0.54
-0.56
-0.53
12
-0.3
-0.4
-0.29
-0.49
-0.39
-0.31
0.3
0.35
-0.06
-0.08
0.01
-0.11
-0.27
13
-1.91
-1.91
-1.98
-2.35
-2.19
-2.2
-1.72
-1.46
-1.58
-1.84
-1.79
-1.75
-1.75
Standard deviation
Age/CNN
l_all
l_middle
m_min
m_middle
m_max
m_all
b4_min
b4_middle
b4_max
b5_min
b6_min
b6_middle
b6_max
1
0.26
0.17
0.21
0.22
0.22
0.22
0.2
0.25
0.3
0.21
0.22
0.19
0.73
2
0.27
0.27
0.29
0.29
0.28
0.27
0.33
0.32
0.34
0.31
0.31
0.3
0.29
3
0.39
0.4
0.41
0.43
0.4
0.43
0.37
0.41
0.42
0.38
0.37
0.36
0.37
4
0.4
0.41
0.41
0.41
0.43
0.41
0.39
0.43
0.43
0.43
0.41
0.43
0.42
5
0.47
0.47
0.46
0.47
0.48
0.46
0.49
0.51
0.48
0.46
0.5
0.5
0.5
6
0.47
0.47
0.5
0.51
0.51
0.47
0.52
0.53
0.5
0.5
0.53
0.5
0.48
7
0.66
0.63
0.64
0.64
0.64
0.63
0.71
0.68
0.7
0.7
0.63
0.65
0.65
8
0.65
0.66
0.64
0.69
0.67
0.65
0.59
0.64
0.67
0.59
0.56
0.57
0.57
9
0.65
0.68
0.62
0.57
0.58
0.56
0.58
0.63
0.63
0.6
0.6
0.64
0.62
10
0.71
0.68
0.77
0.73
0.77
0.76
0.79
0.69
0.74
0.82
0.78
0.69
0.67
11
0.52
0.53
0.48
0.46
0.44
0.46
0.51
0.5
0.54
0.49
0.56
0.44
0.47
12
0.6
0.71
0.49
0.36
0.51
0.51
0.62
0.98
0.91
0.53
0.18
0.38
0.59
13
0.49
0.47
0.33
0.3
0.34
0.33
0.23
0.29
0.15
0.4
0.51
0.41
0.51
Outliers
Outliers with an error of more than 1.5 years:
V2-m,mid.
V2-l,all
V2-l,mid.
B4,min
B5,min
B6,min
B6,mid.
13
13
13
13
48
71
71
71
71
71
71
71
92
270
270
270
279
279
279
279
279
279
279
312
312
320
320
362
362
362
362
362
362
362
342
342
342
342
342
342
342
369
369
369
369
369
369
393
393
393
423
423
423
444
502
502
7
7
9
8
7
9
9
Largest outliers with predictions and ground-truth
Idx
V2-m,mid.
V2-l,all
V2-l,mid.
B4,min
B5,min
B6,min
B6,mid.
Age
13
9.79
9.64
9.74
9.58
8
48
7.6
6
71
4.96
4.98
4.94
5.14
4.79
5.06
5.12
7
92
10.95
13
270
11.66
11.71
11.53
10
279
9.93
9.79
9.75
9.89
9.69
9.67
9.7
8
312
9.42
9.38
11
320
5.44
5.47
7
362
5.11
5.14
5.23
5.11
5.29
5.24
5.15
7
342
10.35
10.6
10.61
11.05
10.75
10.69
10.84
13
369
8.17
8.13
8.23
8.24
7.85
8.29
10
393
10.53
10.75
10.83
9
423
5.39
5.69
5.43
8
444
10.95
9
502
9.4
9.43
11
Images of most common outliers: {13, 71, 270, 342, 360, 369}