115RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 6); 126RunAllTests(predictors, new[] { TestDatasets.breastCancerBoolLabel }); 184RunAllTests(predictors, datasets); 246RunAllTests(predictors, datasets); 264RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 5); 298RunAllTests(binaryPredictors, binaryClassificationDatasets, new[] { "eval=BinaryClassifier{threshold=0.95 useRawScore=-}" }, "withThreshold", digitsOfPrecision: 3); 311RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 5); 324RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4); 342RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 6); 356RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4); 396RunAllTests(binaryPredictors, binaryClassificationDatasets); 416RunAllTests(regressionPredictors, regressionDatasets, parseOption: NumberParseOption.UseSingle); 428RunAllTests( 447RunAllTests( 517RunAllTests(binaryPredictors, binaryClassificationDatasets, extraTag: "goss"); 528RunAllTests(binaryPredictors, binaryClassificationDatasets, extraTag: "dart"); 542RunAllTests(multiPredictors, multiClassificationDatasets, extraTag: "key"); 556RunAllTests(multiPredictors, multiClassificationDatasets, extraTag: "keyU404"); 570RunAllTests(regPredictors, regDatasets, parseOption: NumberParseOption.UseSingle); 584RunAllTests(regPredictors, regDatasets, extraTag: "MAE", parseOption: NumberParseOption.UseSingle); 598RunAllTests(regPredictors, regDatasets, extraTag: "RMSE", parseOption: NumberParseOption.UseSingle); 619RunAllTests(rankPredictors, rankDatasets); 1147RunAllTests(binaryPredictors, binaryClassificationDatasets); 1163RunAllTests(regressionPredictors, regressionDatasets); 1177RunAllTests(regressionPredictors, regressionDatasets); 1190RunAllTests(regressionPredictors, regressionDatasets); 1214RunAllTests(regressionPredictors, new[] { TestDatasets.generatedRegressionDataset }); 1542RunAllTests(rankingPredictors, rankingDatasets); 1559RunAllTests(regressionPredictors, datasets); 1575RunAllTests(regressionPredictors, datasets); 1587RunAllTests( 1609RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new string[] { "cali={}" }, "nocalibration", digitsOfPrecision: 5); 1621RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new[] { "cali=PAV" }, "PAVcalibration"); 1633RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new string[] { "numcali=200" }, "calibrateRandom"); 1645RunAllTests(new[] { TestLearners.linearSVM }, datasets, new string[] { "cali={}" }, "nocalibration", digitsOfPrecision: 6); 1657RunAllTests(new[] { TestLearners.linearSVM }, datasets, new string[] { "cali=PAV" }, "PAVcalibration", digitsOfPrecision: 5); 1693RunAllTests( 1707RunAllTests( 2153RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 2); 2167RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 2); 2182RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4);