public ResultModel TestNewData(IList<TestData> data)
{
var result = new ResultModel();
var probabilityResultList = new List<ProbabilityResult>();
for (var i = 0; i < _naiveBayesModel.TargetAttributeClasses.Count; i++)
CalculateProbability(data, i, ref probabilityResultList);
var sumProbabilities = probabilityResultList.Select(x => x.Probability).Sum();
foreach (var probability in probabilityResultList)
probability.Percentage = (probability.Probability/sumProbabilities)*100;
var greaterProbability = probabilityResultList.OrderByDescending(x => x.Percentage).First();
result.ResultAttribute = greaterProbability.ClassName;
result.Values = greaterProbability.Percentage;
return result;
}
private static void PrintResultValue(ResultModel result)
{
Console.WriteLine("the recommended drug is : " + result.ResultAttribute);
Console.WriteLine("the porcentage of accuracy is: " + result.Values.ToString(CultureInfo.InvariantCulture));
}