Nothing
Code
print(m_metrics)
Output
VLMC context tree on (0,0.458], (0.458,1.34], (1.34,2.13], (2.13,7.54]
cutoff: 3.126 (quantile: 0.1)
Number of contexts: 15
Maximum context length: 5
Confusion matrix:
(0,0.458] (0.458,1.34] (1.34,2.13] (2.13,7.54]
(0,0.458] 200 49 2 1
(0.458,1.34] 50 168 27 7
(1.34,2.13] 1 32 187 39
(2.13,7.54] 1 3 36 205
Accuracy: 0.754
AUC: 0.9068
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