static void Main(string[] args)
{
var trainingDataLocation = @"Data/iris-data_training.csv";
var testDataLocation = @"Data/iris-data_test.csv";
// Building and evaluating model.
var modelBuilder = new ModelBuilder(trainingDataLocation);
var model = modelBuilder.BuildAndTrain();
var accuracy = modelBuilder.Evaluate(model, testDataLocation);
Console.WriteLine($"*************************************************");
Console.WriteLine($"* Accuracy of the model : {accuracy * 100}% *");
Console.WriteLine($"*************************************************");
// Visualising the results.
var testDataObjects = new IrisCsvReader().GetIrisDataFromCsv(testDataLocation);
foreach (var iris in testDataObjects)
{
var prediction = model.Predict(iris);
Console.WriteLine($"-------------------------------------------------");
Console.WriteLine($"Predicted type : {prediction.PredictedLabels}");
Console.WriteLine($"Actual type : {iris.Label}");
Console.WriteLine($"-------------------------------------------------");
}
Console.ReadLine();
}
static void Main(string[] args)
{
var url = new Uri("https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data");
EnsureData(url);
// Building and evaluating model.
var modelBuilder = new ModelBuilder(trainingPath);
var model = modelBuilder.BuildAndTrain();
var accuracy = modelBuilder.Evaluate(model, testPath);
Console.WriteLine($"*************************************************");
Console.WriteLine($"* Accuracy of the model : {accuracy} *");
Console.WriteLine($"*************************************************");
// Visualising the results
var testDataObjects = new IrisCsvReader().GetIrisDataFromCsv(testPath);
foreach (var iris in testDataObjects)
{
var prediction = model.Predict(iris);
Console.WriteLine($"-------------------------------------------------");
Console.WriteLine($"Predicted type : {prediction.PredictedLabels}");
Console.WriteLine($"Actual type : {iris.Label}");
Console.WriteLine($"-------------------------------------------------");
}
}
