autoprognosis
  • Tutorials
  • AutoML studies
  • Imputation plugins
  • Preprocessing plugins
  • Prediction plugins
    • Classifiers
      • AdaBoost
      • Bagging
      • CatBoost
      • Decision Trees
      • ExtraTree classifier
      • Gaussian Naive Bayes
      • Gradient Boosting
      • KNN
      • LDA
      • LGBM
      • Linear SVM
      • Logistic Regression
      • Multinomial Naive Bayes
      • Neural nets
      • Perceptron
      • QDA
      • Random forest
      • Ridge classifier
      • TabNet
      • XGBoost
    • Risk estimation
    • Regression
  • Explainability plugins
  • Evaluation
autoprognosis
  • Prediction plugins
  • Classifiers
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Classifiers

  • AdaBoost
    • AdaBoostPlugin
    • plugin
  • Bagging
    • BaggingPlugin
    • plugin
  • CatBoost
    • CatBoostPlugin
    • plugin
  • Decision Trees
    • DecisionTreePlugin
    • plugin
  • ExtraTree classifier
    • ExtraTreeClassifierPlugin
    • plugin
  • Gaussian Naive Bayes
    • GaussianNaiveBayesPlugin
    • plugin
  • Gradient Boosting
    • GradientBoostingPlugin
    • plugin
  • KNN
    • KNNPlugin
    • plugin
  • LDA
    • LinearDiscriminantAnalysisPlugin
    • plugin
  • LGBM
    • LightGBMPlugin
    • plugin
  • Linear SVM
    • LinearSVMPlugin
    • plugin
  • Logistic Regression
    • LogisticRegressionPlugin
    • plugin
  • Multinomial Naive Bayes
    • MultinomialNaiveBayesPlugin
    • plugin
  • Neural nets
    • BasicNet
    • NeuralNetsPlugin
    • plugin
  • Perceptron
    • PerceptronPlugin
    • plugin
  • QDA
    • QuadraticDiscriminantAnalysisPlugin
    • plugin
  • Random forest
    • RandomForestPlugin
    • plugin
  • Ridge classifier
    • RidgeClassifierPlugin
    • plugin
  • TabNet
  • XGBoost
    • XGBoostPlugin
    • plugin
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