Page Comparison

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1. Log into the ML UI if you are not already logged in. 
2. Click the You have X projects link as shown below.
   
3. Click on the Breast_Cancer_data_analytics_project project to expand it.
4. Enter breast_cancer_analysis_1 as the analysis name and click CREATE ANALYSIS. The following page appears displaying the summary statistics.
    
5. Click Next without making any changes to the summary statistics.
   
   The Explore view opens. Note that Parallel Sets and Trellis Chart visualisations are enabled, and Scatter Plot and Cluster Diagram visualisations are disabled. This is determined by the feature types of the dataset. Select and clear the checkboxes for categorical features as follows.
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6. Click Next. The Algorithms view is displayed. Enter values as shown below.
   

   Parameter	Value
   Algorithm name	LOGISTIC REGRESSION L_BFGS
   Response variable	Class
   Train data fraction	0.7

7. Click Next. The Parameters view appears. Enter L2 as the reg type.
    
8. Click Next. The Model view appears. Select Breast_Cancer_Dataset-1.0.0 as the dataset version.
    
9. Click RUN to train the model.
   The training model is created as displayed as shown below.
   
   Note that the status is In Progress.
10. Click REFRESH. The status os the analysis changes as shown below.
     

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