Hi everyone,
I was modifying the plot_lena_segmentation.py (
http://scikit-learn.org/stable/auto_examples/cluster/plot_lena_segmentation.html)
example to use scipy.misc.face(), and the runtime is prohibitively slow. I
tried to run it with the face image downsampled 8x, but that unto itself
took 2 h
Hi, i think i have some "missunderstanding" due to the classification
metric in scikit-learn
i have a 2 class problem it is 1.0 or 2.0
precisionrecall f1-score support
1.0 0.86 0.76 0.81 254
2.0 0.49 0.65 0.56