explain-classifiers

There are 5 repositories under explain-classifiers topic.

  • fairmodels

    ModelOriented/fairmodels

    Flexible tool for bias detection, visualization, and mitigation

    Language:R8572615

  • namsor/Java-Naive-Bayes-Classifier-JNBC

    A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)

    Language:Java6204
  • pyslise

    edahelsinki/pyslise

    Robust regression algorithm that can be used for explaining black box models (Python implementation)

    Language:Python5212
  • slise

    edahelsinki/slise

    Robust regression algorithm that can be used for explaining black box models (R implementation)

    Language:R5501

  • p-disha/Data-Mining-on-Newsgroup-data

    Designed a Machine Learning model which takes newsgroup dataset and performs binary classification to predict if a given document has Atheistic or Christian sentiment. Used LIME library and PySpark. Performed feature selection to improve classifier’s performance.

    Language:Python10