115RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 6); 126RunAllTests(predictors, new[] { TestDatasets.breastCancerBoolLabel }); 184RunAllTests(predictors, datasets); 246RunAllTests(predictors, datasets); 264RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 5); 303RunAllTests(binaryPredictors, binaryClassificationDatasets, new[] { "eval=BinaryClassifier{threshold=0.95 useRawScore=-}" }, "withThreshold", digitsOfPrecision: 3); 316RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 5); 329RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4); 345RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4); 361RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 2); 401RunAllTests(binaryPredictors, binaryClassificationDatasets); 421RunAllTests(regressionPredictors, regressionDatasets, parseOption: NumberParseOption.UseSingle); 433RunAllTests( 452RunAllTests( 522RunAllTests(binaryPredictors, binaryClassificationDatasets, extraTag: "goss"); 533RunAllTests(binaryPredictors, binaryClassificationDatasets, extraTag: "dart"); 547RunAllTests(multiPredictors, multiClassificationDatasets, extraTag: "key"); 561RunAllTests(multiPredictors, multiClassificationDatasets, extraTag: "keyU404"); 575RunAllTests(regPredictors, regDatasets, parseOption: NumberParseOption.UseSingle); 589RunAllTests(regPredictors, regDatasets, extraTag: "MAE", parseOption: NumberParseOption.UseSingle); 603RunAllTests(regPredictors, regDatasets, extraTag: "RMSE", parseOption: NumberParseOption.UseSingle); 624RunAllTests(rankPredictors, rankDatasets); 1152RunAllTests(binaryPredictors, binaryClassificationDatasets); 1168RunAllTests(regressionPredictors, regressionDatasets); 1182RunAllTests(regressionPredictors, regressionDatasets); 1195RunAllTests(regressionPredictors, regressionDatasets); 1219RunAllTests(regressionPredictors, new[] { TestDatasets.generatedRegressionDataset }); 1547RunAllTests(rankingPredictors, rankingDatasets); 1564RunAllTests(regressionPredictors, datasets); 1580RunAllTests(regressionPredictors, datasets); 1592RunAllTests( 1614RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new string[] { "cali={}" }, "nocalibration", digitsOfPrecision: 5); 1626RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new[] { "cali=PAV" }, "PAVcalibration", digitsOfPrecision: 3); 1638RunAllTests(new[] { TestLearners.perceptronDefault }, datasets, new string[] { "numcali=200" }, "calibrateRandom"); 1650RunAllTests(new[] { TestLearners.linearSVM }, datasets, new string[] { "cali={}" }, "nocalibration", digitsOfPrecision: 6); 1662RunAllTests(new[] { TestLearners.linearSVM }, datasets, new string[] { "cali=PAV" }, "PAVcalibration", digitsOfPrecision: 5); 1698RunAllTests( 1712RunAllTests( 2158RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 2); 2172RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 2); 2187RunAllTests(binaryPredictors, binaryClassificationDatasets, digitsOfPrecision: 4);