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MACHINE LEARNING, Number of Neurons, Nonlinear SVM, Stochastic Gradient…

- - - - Linear Regression
        
        SVM
        
        Neural Network
        
        Decision Tree
        
        Random Forest
        
        GBDT
        
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        Construction Process
        
        Pruning
        
        Decision Tree Decision
        
        Feature Selection
        
        Algorithm
        
        ID3
        
        C4.5
        
        CART
    - - Logistic Regression
        
        SVM
        
        Neural Network
        
        Decision Tree
        
        Random Forest
        
        GBDT
        
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  - - - K-Means
        
        Hierarchical Clustering
        
        Density-based Clustering
    - - Correlation Rule
        
        Principal Component Analysis (PCA)
        
        Gaussian Mixture Model (GMM)
  - - - Random Forest
        
        Classification :Majority Voting
        
        Regression: Average Value
    - - Adaboost
      - GBDT
      - XGboost
- - - - Recursive Feature Elimination
    - - Lasso Regression (L1)
      - Ridge Regression (L2)
    - - Pearson Correlation Coeffiecient
      - Chi-Square Coefficient
      - Mutual Information
  - - - Mean Absolute Error (MAE)
      - Mean Square Error (MSE)
    - - Accuracy
      - Error Rate
      - Sensitivity
      - Specificity
      - Precision
      - F1 Score