Note
Click here to download the full example code
Compare Classification ScoreCards
# mkdocs_gallery_thumbnail_path = 'images/example_thumnail.png'
import numpy as np
from krisi import compare, score
scorecards = [
score(y=np.random.randint(0, 2, 1000), predictions=np.random.randint(0, 2, 1000))
for _ in range(5)
]
compare(
scorecards, sort_by="accuracy", metric_keys=["recall_binary", "f_one_score_binary"]
)
Total running time of the script: ( 0 minutes 0.000 seconds)
Download Python source code: evaluate_compare_classification.py
Download Jupyter notebook: evaluate_compare_classification.ipynb