Up sampling Yeas. This will duplicate Yeas until Training is 50% Yeas.

All Entries:	1840	Affirmitive examples:	367 (20%)
Training:	2346	Affirmitive examples:	1173.0 (50.0%)
Testing:	368	Affirmitive examples:	68.0 (18.0%)

0s: 0.82	True Positives: 63	Accuracy: 0.9619565217391305
1s: 0.18	True Negatives: 291	AUC: 0.9799019607843138
		False Positives: 9	F1 Score: 0.8999999999999999
		False Negatives: 5	Recall (fract of actual yeas found): 0.9264705882352942
					Precision (correctness of yeas predicted): 0.875

Trianed on 2019-04-23_best-guess_binary.csv. Embedding = "word2vec". 

Model = "VotingClassifier(estimators=[('logistic', LogisticRegression(C=1000000000.0, class_weight='balanced', dual=False,
          fit_intercept=False, intercept_scaling=1, max_iter=100,
          multi_class='warn', n_jobs=None, penalty='l2', random_state=None,
          solver='warn', tol=0.0001, verbose=0, warm_start=Fa...        verbose=0, warm_start=False)), ('GaussianNB', GaussianNB(priors=None, var_smoothing=1e-09))],
         flatten_transform=None, n_jobs=None, voting='soft',
         weights=[1, 1, 1, 1, 1])".