Using fast Fourier transform (FFT), they extracted morphological features from those images and trained a random forest classifier to predict the percentage of MYF5-positive cells—a marker of ...

The Forest Lake School Board voted late Thursday to revisit the district’s dress code in the fall after a proposal to remove the policy’s bans on specific symbols brought significant backlash ...

I'm currently using emlearn to run a Random Forest classifier. I noticed that the generated code uses if-else conditions and return <class> statements to perform hard classification.

The proposal would eliminate language that specifically prohibits students from wearing clothing with symbols like swastikas, the Confederate Flag or Ku Klux Klan.

This Python project leverages the NBA API and scikit-learn to: Fetch and preprocess NBA player and team statistics for regular seasons. Label seasons with actual MVP winners. Train a Random Forest ...

Designed for high-dimensional datasets, the Boruta algorithm creates shadow features by generating random copies of the original features. It then compares the importance of each real feature to these ...

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Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining ...