Blog

Scoring Sheets: Transform Data into Insightful Scores

explain, prototypes, scoring sheet

Scoring Sheets: Transform Data into Insightful Scores

Orange's Scoring Sheet widget provides explainable machine learning predictions using a simple scoring system. Each feature's influence obtains an integer score, making it easier to understand and communicate the model, crucial in sectors where transparency is vital.

Žan Mervič, Jan 11, 2024

  • Cookie Mining

    text mining, images

    Cookie Mining

    A companion to our Orange Data Mining Holiday Special video on how we mined cookie descriptions and how to create cookie clustering.

    Blaž Zupan, Dec 22, 2023

  • Our Christmas Present: Free Orange T-Shirt!

    T-shirt, survival analysis, tutorial

    Our Christmas Present: Free Orange T-Shirt!

    Enroll in our survival analysis tutorial, and you might just unwrap a free Orange T-shirt along with a hefty dose of data science cheer!

    Jaka Kokošar, Dec 20, 2023

  • From Data Portals to Portals of Doom: Avoiding it with Dask

    dask, survival analysis

    From Data Portals to Portals of Doom: Avoiding it with Dask

    Circumvent the limitations of second-hand data portals: Orange with Dask enables you to process big data sets while ensuring the source's authenticity and enabling custom workflows.

    Jaka Kokošar, Nov 08, 2023

  • Can Orange explore a 13 GB data set?

    dask, spectroscopy

    Can Orange explore a 13 GB data set?

    An experimental version of Orange supports much larger data sets. It never loads the whole data set into the working memory; data is only processed in small chunks. We show a case study on a 13 GB spectroscopy data set.

    Marko Toplak, Oct 28, 2023

  • Dask all Folks: Preparing Large Datasets

    dask, development

    Dask all Folks: Preparing Large Datasets

    Preparing large HDF5 datasets that load into Orange as on-disk data.

    Noah Novšak, Oct 24, 2023

  • Recap of 26th International Conference on Discovery Science

    conference, research

    Recap of 26th International Conference on Discovery Science

    Highlighting our papers from the International Conference on Discovery Science

    Martin Špendl, Oct 20, 2023

  • Fall Season Brings Fresh Content to the Introduction to Data Science Series

    update, video series

    Fall Season Brings Fresh Content to the Introduction to Data Science Series

    Updates in the Introduction to Data Science Video Series, new video logistic regression nomogram.

    Erika Funa, Oct 17, 2023

  • Why Removing Features Isn't Enough

    fairness

    Why Removing Features Isn't Enough

    Find out why merely removing protected attributes will not fix bias. Features often correlate, letting models infer biases. Fairness algorithms are key for genuine bias mitigation.

    Žan Mervič, Sep 19, 2023

  • Orange Fairness - Reweighing as a preprocessor

    fairness, reweighing

    Orange Fairness - Reweighing as a preprocessor

    Expanding on the Orange fairness Reweighing widget: using it as a preprocessor and integrating new fairness scoring metrics.

    Žan Mervič, Sep 19, 2023

  • Orange Fairness - Reweighing a Dataset

    fairness, reweighing

    Orange Fairness - Reweighing a Dataset

    Introducing the Reweighing widget in Orange, a solution for dataset bias mitigation.

    Žan Mervič, Sep 19, 2023

  • Orange Fairness - Equal Odds Postprocessing

    fairness, equal odds postprocessing

    Orange Fairness - Equal Odds Postprocessing

    Explore the Equal Odds Postprocessing widget in Orange, designed to fine-tune your model's fairness. We explain how the algorithm operates and showcase its effectiveness with an example using the German credit dataset.

    Žan Mervič, Sep 19, 2023

  • Orange Fairness - Adversarial Debiasing

    fairness, adversarial debiasing

    Orange Fairness - Adversarial Debiasing

    Learn how to use the Adversarial Debiasing model in Orange for fairer machine learning.

    Žan Mervič, Sep 19, 2023

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