Comments (2)
Hi @foxriver76
I have pushed a fix for this issue (8af6fca). The number of remaining samples was not calculated correctly. This triggered the strange behavior in the evaluator.
You will see that the logging is now as expected.
root - INFO - Prequential Evaluation
root - INFO - Evaluating 1 target(s).
root - INFO - Pre-training on 1 samples.
root - INFO - Evaluating...
root - INFO - 5.0%
root - INFO - 10.0%
root - INFO - 15.0%
root - INFO - 20.0%
root - INFO - 25.0%
root - INFO - 30.0%
root - INFO - 35.0%
root - INFO - 40.0%
root - INFO - 45.0%
root - INFO - 50.0%
root - INFO - 55.0%
root - INFO - 60.0%
root - INFO - 65.0%
root - INFO - 70.0%
root - INFO - 75.0%
root - INFO - 80.0%
root - INFO - 85.0%
root - INFO - 90.0%
root - INFO - 95.0%
root - INFO - Evaluation time: 7.327 s
root - INFO - Total samples: 10000
root - INFO - Global performance:
root - INFO - HAT - Accuracy : 0.924
root - INFO - HAT - Kappa : 0.827
root - INFO - HAT - Kappa T : 0.827
root - INFO - HAT - Kappa M : 0.774
Thanks for reporting this.
from scikit-multiflow.
Thanks for the quick fix.
from scikit-multiflow.
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