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log.txt
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Section A
confusion_matrix:
[[ 4 1 2 0]
[ 2 2 2 2]
[ 1 3 29 7]
[ 1 2 7 108]]
classification report:
precision recall f1-score support
1 0.50 0.57 0.53 7
2 0.25 0.25 0.25 8
3 0.72 0.72 0.73 40
4 0.92 0.92 0.92 118
micro avg 0.83 0.83 0.83 173
macro avg 0.60 0.62 0.61 173
weighted avg 0.83 0.83 0.83 173
Section B 1
confusion_matrix:
[[ 3 1 3 0]
[ 0 6 1 1]
[ 0 2 32 6]
[ 0 0 9 109]]
classification report:
precision recall f1-score support
1 1.00 0.43 0.60 7
2 0.67 0.75 0.71 8
3 0.71 0.80 0.75 40
4 0.94 0.92 0.93 118
micro avg 0.87 0.87 0.87 173
macro avg 0.83 0.73 0.75 173
weighted avg 0.88 0.87 0.87 173
5-fold crass validation
1 Accuracy: 0.702 (+/- 0.03)
2 Accuracy: 0.775 (+/- 0.02)
3 Accuracy: 0.788 (+/- 0.02)
4 Accuracy: 0.828 (+/- 0.03)
5 Accuracy: 0.858 (+/- 0.03)
6 Accuracy: 0.910 (+/- 0.03)
7 Accuracy: 0.920 (+/- 0.01)
8 Accuracy: 0.958 (+/- 0.03)
9 Accuracy: 0.967 (+/- 0.02)
10 Accuracy: 0.973 (+/- 0.02)
11 Accuracy: 0.978 (+/- 0.02)
12 Accuracy: 0.978 (+/- 0.02)
13 Accuracy: 0.977 (+/- 0.02)
14 Accuracy: 0.977 (+/- 0.02)
15 Accuracy: 0.976 (+/- 0.02)
16 Accuracy: 0.977 (+/- 0.02)
17 Accuracy: 0.977 (+/- 0.02)
18 Accuracy: 0.979 (+/- 0.02)
19 Accuracy: 0.977 (+/- 0.02)
Result
Best depth : 18 With Mean Score: 0.9794170729177472
Result
best depth : 18 with 0.9794170729177472
confusion_matrix:
[[ 7 0 0 0]
[ 0 7 1 0]
[ 0 0 39 1]
[ 0 0 1 117]]
classification report:
precision recall f1-score support
1 1.00 1.00 1.00 7
2 1.00 0.88 0.93 8
3 0.95 0.97 0.96 40
4 0.99 0.99 0.99 118
micro avg 0.98 0.98 0.98 173
macro avg 0.99 0.96 0.97 173
weighted avg 0.98 0.98 0.98 173