diff --git a/RhSolutions.ML.Lib/RhSolutionsMLBuilder.cs b/RhSolutions.ML.Lib/RhSolutionsMLBuilder.cs
index c984a39..b1a7a66 100644
--- a/RhSolutions.ML.Lib/RhSolutionsMLBuilder.cs
+++ b/RhSolutions.ML.Lib/RhSolutionsMLBuilder.cs
@@ -1,21 +1,31 @@
 using Microsoft.ML;
+using Microsoft.ML.Data;
 
 namespace RhSolutions.ML.Lib;
 
 public class RhSolutionsMLBuilder
 {
 	private static string _appPath = Path.GetDirectoryName(Environment.GetCommandLineArgs()[0]) ?? ".";
+	private static string _testDataPath = Path.Combine(_appPath, "..", "..", "..", "..", "TestData", "*");
 
 	private static MLContext _mlContext = new MLContext(seed: 0);
+	private static ITransformer? _trainedModel = null;
 
 	public static void RebuildModel()
 	{
 		var _trainDataView = _mlContext.Data.LoadFromTextFile<Product>(
 			Path.Combine(_appPath, "..", "..", "..", "..", "TrainData", "*"), hasHeader: false);
 		var pipeline = ProcessData();
-		BuildAndTrainModel(_trainDataView, pipeline, out ITransformer trainedModel);
-		SaveModelAsFile(_mlContext, _trainDataView.Schema, trainedModel);
+		BuildAndTrainModel(_trainDataView, pipeline, out ITransformer _trainedModel);
+		SaveModelAsFile(_mlContext, _trainDataView.Schema, _trainedModel);
 	}
+
+	public static MulticlassClassificationMetrics? EvaluateModel()
+	{
+		var testDataView = _mlContext.Data.LoadFromTextFile<Product>(_testDataPath, hasHeader: false, separatorChar: ';');
+		return _mlContext.MulticlassClassification.Evaluate(_trainedModel?.Transform(testDataView));
+	}
+
 	private static IEstimator<ITransformer> ProcessData()
 	{
 		var pipeline = _mlContext.Transforms.Conversion.MapValueToKey(inputColumnName: "Type", outputColumnName: "Label")