public void Deveria_calcular_probabilidade_com_base_nos_dados_fornecidos()
{
var play = new PlayBasketball
{
HasBall = true,
NumberOfPlayers = 4,
Rain = false,
Windy = false,
CanPlay = true
};
var play2 = new PlayBasketball
{
HasBall = false,
NumberOfPlayers = 2,
Rain = true,
Windy = true,
CanPlay = true
};
_naiveBayes.Add(play);
_naiveBayes.Add(play2);
_naiveBayes.Fit();
decimal probabilityFalse = _naiveBayes.Predict(play, false);
probabilityFalse.Should().Be(0, because: "Não há probabilidade de não jogar");
}
public void Deveria_criar_probabilidade_com_cinquenta_porcento_de_chance_quando_possuir_apenas_dois_dados_completamente_distintos_no_treinamento()
{
var play = new PlayBasketball
{
HasBall = true,
NumberOfPlayers = 4,
Rain = false,
Windy = false,
CanPlay = true
};
var play2 = new PlayBasketball
{
HasBall = false,
NumberOfPlayers = 2,
Rain = true,
Windy = true,
CanPlay = false
};
_naiveBayes.Add(play);
_naiveBayes.Add(play2);
_naiveBayes.Fit();
var correctValue = _naiveBayes.GetProbabilities().All(i => i.ProbabilityValue == 1);
correctValue.Should().BeTrue();
}
public void Deveria_prever_que_ira_jogar_basquete_quando_dados_treinados_avaiarem_como_melhor_opcao_com_base_em_um_dado()
{
var play = new PlayBasketball
{
HasBall = true,
NumberOfPlayers = 4,
Rain = false,
Windy = false,
CanPlay = true
};
_naiveBayes.Add(play);
_naiveBayes.Fit();
bool canPlay = _naiveBayes.PredictExactly(play);
canPlay.Should().Be(true);
}
public void Deveria_prever_com_cem_porcento_de_probabildade_quando_dado_fornecido_for_igual_ao_dado_treinado()
{
var play = new PlayBasketball
{
HasBall = true,
NumberOfPlayers = 4,
Rain = false,
Windy = false,
CanPlay = true
};
_naiveBayes.Add(play);
_naiveBayes.Fit();
decimal probability = _naiveBayes.Predict(play);
probability.Should().Be(1);
}
public void Random_values()
{
Stopwatch s = new Stopwatch();
s.Start();
Random r = new Random();
for (int i = 0; i < 1000000; i++)
{
var play = new PlayBasketball
{
HasBall = r.Next(1, 10) < 5 ? true : false,
NumberOfPlayers = r.Next(1, 10),
Rain = r.Next(1, 10) < 5 ? true : false,
Windy = r.Next(1, 10) < 5 ? true : false,
CanPlay = r.Next(1, 10) < 5 ? true : false
};
_naiveBayes.Add(play);
}
_naiveBayes.Fit();
bool canPlay = _naiveBayes.PredictExactly(new PlayBasketball
{
HasBall = false,
NumberOfPlayers = 2,
Rain = true,
Windy = true,
CanPlay = false
});
s.Stop();
s.ElapsedMilliseconds.Should().BeLessThan(8500);
}