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