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WSO2 Machine Learner provides an interface to configure algorithms to build machine learning models using datasets. These models are used for tasks sushi as fraud detection, anomaly detection classification etc.

This guide walks you through the basic features of WSO2 ML to get you started. For this purpose, a dataset is analyzed and a ML model is trained to predict the possibility of a person suffering with breast cancer when data relating to a set of other bodily characteristics is provided.

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1. Log into the ML UI using admin as both the username and password. The following will be displayed in the Home page.
    
2. Click ADD DATASET to open the Create Dataset page. 

3. In the Data Source field, click Choose File and browse for the <ML_HOME>/samples/tuned/naive-bayes/breastCancerWisconsin.csv file. Enter values for the rest of the parameters as shown below.
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   Parameter Name	Value
   Dataset Name	Breast_Cancer_Dataset
   Version	1.0.0
   Description	Breast cancer data in WinconsinWisconsin.
   Source Type	File
   Data Format	CSV
   Column Header Available	Yes

4. Click CREATE DATASET to save your changes. The Datasets page will open and the dataset you entered will be displayed as follows.
    Note that the status of the dataset is Processing.
5. Click REFRESH. The status of the dataset will change to Processed as shown below.
    

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