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model-evaluation

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fairmodels
Nehagupta90
Nehagupta90 commented Jan 24, 2022

Good day everyone

I am using the output variable of my data (isKilled= yes/no) as a protected variable and “yes” as a priviliged value. But every time I run the code, I just get a few metrics calculated and get the output as shown at the end.

Metric calculation : 2/12 metrics calculated for all models ( 10 NA created )

I used the following code, so could you please suggest where is the

minor bug 😞 good first issue

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

  • Updated Nov 5, 2020
  • Jupyter Notebook

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

  • Updated Aug 10, 2019
  • Jupyter Notebook

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

  • Updated Nov 21, 2019
  • Jupyter Notebook

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