params.yaml

Decision_Tree: 
  - criterion:
    - entropy
    - gini
  - splitter:
    - random
    - best


Random_Forest:
  - min_samples_leaf:
    - 1
    - 2
 
SVC:
  - kernel:
    - rbf
  - C: 
    - 1
    - 2
    - 3

LogisticRegression:
  - C:
    - 1
    - 2
    - 3

MultinomialNB:
  - fit_prior:
    - True
    - False

GradientBoost:
  - n_estimators:
    - 10
    - 100
    - 1000

AdaBoost:
  - n_estimators:
    - 20
    - 40
    - 200
    - 400

XGBoost:
  - max_depth:
    - 1
    - 2
    - 3
    - 10