// Create 10 records sets
public void CreateRecordsSets()
{
// Calculate needed numbers
int totalItems = allRecords.Count;
int numberOfSets = 10;
int itemsPerStep = totalItems / numberOfSets;
int parts = totalItems / itemsPerStep;
// Add records for each set
for (int i = 0; i < parts; i++)
{
int from = i * itemsPerStep;
int to = i * itemsPerStep + itemsPerStep - 1;
if (to > totalItems - 1)
{
to = totalItems - 1;
}
// Create new set that will be added after that to the list which contains all sets
RecordsSet newRecordSet = new RecordsSet();
// Add records to the current set
for (int j = from; j <= to; j++)
{
newRecordSet.AddRecord(allRecords[j]);
}
// Add current set to the list with all sets
allSets.Add(newRecordSet);
}
}
// Test 1 set but before that will train from other 9 sets
public void TestSetByIdx(int testSetIdx, ref double allAccuracy)
{
// All probabilities
List <Probability> probabilities = new List <Probability>();
Type classType = typeof(Record);
PropertyInfo[] properties = classType.GetProperties();
// Calculate the probabilities from training data
CalculateProbabilities(testSetIdx, probabilities, properties);
// Test the test set
RecordsSet testSet = allSets[testSetIdx];
int correctAnswers = 0; // total answers that are guessed by the AI
int wrongAnswers = 0; // wrong answers which are not guessed
// Loop all the records in the test set and try to guess them
foreach (var testSetRecord in testSet.Records)
{
string correctClassName = testSetRecord.ClassName;
double probabilityToBeDemocrat = CalculateProbabilityForTestSetRecord(testSetRecord, true, probabilities, properties);
double probabilityToBeRepublican = CalculateProbabilityForTestSetRecord(testSetRecord, false, probabilities, properties);
string guessedClassName = string.Empty;
if (probabilityToBeDemocrat > probabilityToBeRepublican)
{
guessedClassName = "democrat";
}
else
{
guessedClassName = "republican";
}
if (correctClassName == guessedClassName)
{
correctAnswers++;
}
else
{
wrongAnswers++;
}
}
double accuracy = (correctAnswers * 1.0) / (correctAnswers + wrongAnswers) * 1.0;
accuracy *= 100;
allAccuracy += accuracy;
// Print result for this test set
Console.WriteLine(new string('_', 20));
Console.WriteLine($"Test Set: {testSetIdx + 1}");
Console.WriteLine($"- Correct answers: {correctAnswers}");
Console.WriteLine($"- Wrong answers: {wrongAnswers}");
Console.WriteLine($"--> Accuracy: {accuracy:f2} %");
Console.WriteLine();
Console.WriteLine();
}
