Classification Methods

Gaussian Naive Bayes (GNB)

_images/cl_gnb.png

Multinomial Logistic Regression (MLG) a.k.a. Conditional Maximum Entropy Model (CMEL)

_images/cl_lr.png

K Neighbors

_images/cl_kn.png

Support Vector Machine (SVM)

_images/cl_svm.png

Kernel Support Vector Machine (KSVM)

_images/cl_ksvm.png

Linear Discriminant Analysis (LDA)

_images/cl_lda.png

Quadratic Discriminant Analysis (QDA)

_images/cl_qda.png

Decision Tree

Classification and Regression Tree (CART)
Interactive Dichotomiser 3 (ID3)
C4.5 / C5.0 / M5
Chi-squared Automatic Interaction Detection (CHAID)
Decision Stump
Conditional Decision Trees

Ensemble Methods

Boosting
Bootstrapped Aggregation (Bagging)
Ada Boost
Stacked Generalization (Blending)
Gradient Boosting Machines (GBM)
Random Forests
Gradient Boosting Regression Trees