Fixed X64Fact tests (#5057)

* Enable X64 Tests to run to view baseline outputs

* More X64Fact tests fixed, added baselines

* Added logging for when conf. specific baseline is used

* Revert "Added logging for when conf. specific baseline is used"

This reverts commit 21ef056.

test/BaselineOutput/Common/FastTreeBinaryClassification/win-x86/FastTree-TrainTest-Census-Cat-Only.Cat-out.txt

@@ -0,0 +1,61 @@
+maml.exe TrainTest test=%Data% tr=FastTreeBinaryClassification{nl=5 mil=5 lr=0.25 iter=20 mb=255} dout=%Output% loader=Text{header+ col=Label:0 col=Cat:TX:1-8} data=%Data% out=%Output% seed=1 xf=Cat{col=Cat} xf=Concat{col=Features:Cat}
+Not adding a normalizer.
+Making per-feature arrays
+Changing data from row-wise to column-wise
+Processed 500 instances
+Binning and forming Feature objects
+Changing data from row-wise to column-wise
+Reserved memory for tree learner: %Number% bytes
+Starting to train ...
+Not training a calibrator because it is not needed.
+TEST POSITIVE RATIO:	0.2300 (115.0/(115.0+385.0))
+Confusion table
+          ||======================
+PREDICTED || positive | negative | Recall
+TRUTH     ||======================
+ positive ||       55 |       60 | 0.4783
+ negative ||       17 |      368 | 0.9558
+          ||======================
+Precision ||   0.7639 |   0.8598 |
+OVERALL 0/1 ACCURACY: 0.846000
+LOG LOSS/instance:  0.481805
+Test-set entropy (prior Log-Loss/instance): 0.778011
+LOG-LOSS REDUCTION (RIG): 0.380722
+AUC:                0.893281
+
+OVERALL RESULTS
+---------------------------------------
+AUC:                0.893281 (0.0000)
+Accuracy:           0.846000 (0.0000)
+Positive precision: 0.763889 (0.0000)
+Positive recall:    0.478261 (0.0000)
+Negative precision: 0.859813 (0.0000)
+Negative recall:    0.955844 (0.0000)
+Log-loss:           0.481805 (0.0000)
+Log-loss reduction: 0.380722 (0.0000)
+F1 Score:           0.588235 (0.0000)
+AUPRC:              0.738040 (0.0000)
+
+---------------------------------------
+Physical memory usage(MB): %Number%
+Virtual memory usage(MB): %Number%
+%DateTime%	 Time elapsed(s): %Number%
+
+--- Progress log ---
+[1] 'Building term dictionary' started.
+[1] (%Time%)	500 examples	Total Terms: 76
+[1] 'Building term dictionary' finished in %Time%.
+[2] 'FastTree data preparation' started.
+[2] 'FastTree data preparation' finished in %Time%.
+[3] 'FastTree in-memory bins initialization' started.
+[3] 'FastTree in-memory bins initialization' finished in %Time%.
+[4] 'FastTree feature conversion' started.
+[4] 'FastTree feature conversion' finished in %Time%.
+[5] 'FastTree data preparation #2' started.
+[5] 'FastTree data preparation #2' finished in %Time%.
+[6] 'FastTree feature conversion #2' started.
+[6] 'FastTree feature conversion #2' finished in %Time%.
+[7] 'FastTree training' started.
+[7] 'FastTree training' finished in %Time%.
+[8] 'Saving model' started.
+[8] 'Saving model' finished in %Time%.

test/BaselineOutput/Common/FastTreeBinaryClassification/win-x86/FastTree-TrainTest-Census-Cat-Only.Cat-rp.txt

@@ -0,0 +1,4 @@
+FastTreeBinaryClassification
+AUC	Accuracy	Positive precision	Positive recall	Negative precision	Negative recall	Log-loss	Log-loss reduction	F1 Score	AUPRC	/lr	/nl	/mil	/iter	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
+0.893281	0.846	0.763889	0.478261	0.859813	0.955844	0.481805	0.380722	0.588235	0.73804	0.25	5	5	20	FastTreeBinaryClassification	%Data%	%Data%	%Output%	99	0	0	maml.exe TrainTest test=%Data% tr=FastTreeBinaryClassification{nl=5 mil=5 lr=0.25 iter=20 mb=255} dout=%Output% loader=Text{header+ col=Label:0 col=Cat:TX:1-8} data=%Data% out=%Output% seed=1 xf=Cat{col=Cat} xf=Concat{col=Features:Cat}	/lr:0.25;/nl:5;/mil:5;/iter:20	
+

test/BaselineOutput/Common/FastTreeBinaryClassification/win-x86/FastTree-TrainTest-Census-Cat-Only.Cat-summary.txt

@@ -0,0 +1,30 @@
+
+Per-feature gain summary for the boosted tree ensemble:
+	marital-status.Married-civ-spouse	1
+	occupation.Prof-specialty	0.499978104303624
+	occupation.Exec-managerial	0.434935442345068
+	marital-status.Never-married	0.267286281351726
+	education.Doctorate	0.255205743594169
+	Workclass.Self-emp-inc	0.218913886097949
+	ethnicity.Asian-Pac-Islander	0.198007032992433
+	relationship.Husband	0.187623229061434
+	Workclass.Local-gov	0.186017717229329
+	native-country-region.Mexico	0.177614308223737
+	education.Bachelors	0.170936054067049
+	education.Masters	0.169804646788063
+	occupation.Farming-fishing	0.145811380173079
+	ethnicity.Black	0.137140760481446
+	occupation.Transport-moving	0.13022579853358
+	occupation.Other-service	0.12589916923037
+	education.Some-college	0.116092176092999
+	Workclass.Private	0.109401738173027
+	Workclass.?	0.109103172155946
+	education.Assoc-acdm	0.100323599151049
+	Workclass.Self-emp-not-inc	0.0973694292542764
+	relationship.Own-child	0.0957862810994456
+	education.11th	0.0905382862951382
+	occupation.Tech-support	0.0778673683865196
+	education.HS-grad	0.0727543074440302
+	education.7th-8th	0.0727320100839907
+	marital-status.Widowed	0.0634429881388435
+	Workclass.State-gov	0.0535351814497221