Test results
Binary classification accuracy (threshold at label 3) ≈ 73.82%
Labels: [0, 1, 2, 3, 4, 5] Confusion Matrix:
[[64 29 1 6 0 0]
[26 47 6 20 1 0]
[10 49 5 36 0 0]
[ 7 31 9 48 5 0]
[ 1 18 8 56 17 0]
[ 1 2 4 26 17 0]]
Classification Report:
precision recall f1-score support
0 0.59 0.64 0.61 100
1 0.27 0.47 0.34 100
2 0.15 0.05 0.08 100
3 0.25 0.48 0.33 100
4 0.42 0.17 0.24 100
5 0.00 0.00 0.00 50
accuracy 0.33 550
macro avg 0.28 0.30 0.27 550
weighted avg 0.31 0.33 0.29 550
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