public void NaiveBayersNotSpamFalseTest()
{
NaiveBayes naiveBayes = new NaiveBayes();
var result = naiveBayes.CheckSMS("Sincerely Mathias");
Assert.AreEqual(false, result);
result = naiveBayes.CheckSMS("Dear Graduates");
Assert.AreEqual(false, result);
result = naiveBayes.CheckSMS("Thanks in advance for your support");
Assert.AreEqual(false, result);
result = naiveBayes.CheckSMS("for it with my Mastercard");
Assert.AreEqual(false, result);
}
private void btnAllCapital_Click(object sender, RoutedEventArgs e)
{
SMSReader reader = new SMSReader();
NaiveBayes naiveBayes = new NaiveBayes();
var smsList = reader.Read(@"D:\Nadun.ML.SpamDetector\Nadun.ML.SpamDetectEngine\Data\evaluating.csv");
TotalMessages = smsList.Count - 1;
foreach (var sms in smsList)
{
if (naiveBayes.CheckSMS(sms.Message, 1))
{
sms.PredictedType = "spam";
}
else
{
sms.PredictedType = "ham";
}
if (sms.PredictedType == sms.ActualType)
{
CorrectlyPredicted += 1;
}
}
dataGrid.DataContext = this;
dataGrid.ItemsSource = smsList;
progressBar.IsIndeterminate = false;
CorrectPercentage = Math.Round((decimal)(((decimal)CorrectlyPredicted / (decimal)TotalMessages)) * 100, 2, MidpointRounding.AwayFromZero);
txtPercCorrect.Text = CorrectPercentage.ToString();
txtTotalNoMsg.Text = TotalMessages.ToString();
}