You can tune samples to improve measures such as accuracy,= Area Under ROC Curve (AUC), and Mean Square Error (MSE) by chan= ging the values of the hyper parameter. For more information on tuning hype= r parameters, see How to Tune Hyper Parameters.&nb= sp;Tuned samples for well known data sets that are shipped with WSO2 Machin= e Learner are as follows.

- Generating a Tuned Model Using the Decision Tree Algorithm
- Generating a Tuned Model Using the Lasso Regression Algor= ithm
- Generating a Tuned Model Using the Linear Regression Alg= orithm
- Generating a Tuned Model Using the Logistic Regr= ession LBFGS Algorithm
- Generating a Tuned Model Using the Logisitc Regres= sion SGD Algorithm
- Generating a Tuned Model Using the Naive Bayes Algorithm
- Generating a Tuned Model Using the Random Forest Algorithm
- Generating a Tuned Model Using the Ridge Regression Algor= ithm
- Generating a Tuned Model Using the Support Vector M= achine Algorithm
- Generating a Tuned Model Using= the K Means Anomaly Detection Algorithm with Labeled Data