public void Test_Evaluate_Prediction_Model_Score_Amazon()
{
_output.WriteLine("Test_Evaluate_Prediction_Model_Score_Amazon()...");
var predictor = new Predictor();
predictor.LoadTrainData(Path.Combine(_dataFolderPath, "amazon_cells_labelled.txt"));
predictor.BuildAndTrainModel();
var metrics = predictor.EvaluateModelMetrics();
_output.WriteLine($"Model Metrics - Accuracy:{metrics.Accuracy:P2}, AreaUnderRocCurve:{metrics.AreaUnderRocCurve:P2}, F1Score:{metrics.F1Score:P2}");
Assert.InRange(metrics.Accuracy, 0.5, 0.95);
_output.WriteLine("...Test_Evaluate_Prediction_Model_Score_Amazon() DONE.");
}
public void Test_Predict_Output_Positive_IMDB()
{
_output.WriteLine("Test_Predict_Output_Positive_IMDB()...");
const string INPUT_DATA = "amazing movie, very touching and deep";
var predictor = new Predictor();
predictor.LoadTrainData(Path.Combine(_dataFolderPath, "imdb_labelled.txt"));
predictor.BuildAndTrainModel();
var predictionTuple = predictor.Predict(INPUT_DATA);
_output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");
Assert.True(predictionTuple.prediction);
_output.WriteLine("...Test_Predict_Output_Positive_IMDB() DONE.");
}
public void Test_Predict_Output_Negative_Yelp()
{
_output.WriteLine("Test_Predict_Output_Negative_Yelp()...");
const string INPUT_DATA = "This was quite a horrible meal";
var predictor = new Predictor();
predictor.LoadTrainData(Path.Combine(_dataFolderPath, "yelp_labelled.txt"));
predictor.BuildAndTrainModel();
var predictionTuple = predictor.Predict(INPUT_DATA);
_output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");
Assert.False(predictionTuple.prediction);
_output.WriteLine("...Test_Predict_Output_Negative_Yelp() DONE.");
}
public void Test_Predict_Output_Negative_Amazon()
{
_output.WriteLine("Test_Predict_Output_Negative_Amazon()...");
const string INPUT_DATA = "this smartphone does not work at all, and is heavy too";
var predictor = new Predictor();
predictor.LoadTrainData(Path.Combine(_dataFolderPath, "amazon_cells_labelled.txt"));
predictor.BuildAndTrainModel();
var predictionTuple = predictor.Predict(INPUT_DATA);
_output.WriteLine($"Prediction for \"{INPUT_DATA}\" : {predictionTuple.prediction} (Probability: {predictionTuple.probability}, Score: {predictionTuple.score})");
Assert.False(predictionTuple.prediction);
_output.WriteLine("...Test_Predict_Output_Negative_Amazon() DONE.");
}