Clusterer	Classifier	Accuracy	Precision	Recall	f1-score	MSE
Clusterer	LR	0.86	0.79	0.74	0.88	0.7548
	AdaBoost	0.89	0.80	0.78	0.89	0.7264
	Gradient Boosting	0.88	0.84	0.80	0.86	0.8288
	Decision Tree	0.78	0.85	0.82	0.85	0.8587
	Random Forest	0.77	0.76	0.84	0.82	0.8326
	SVM	0.80	0.82	0.85	0.81	0.7213
	MOE	0.81	0.83	0.86	0.80	0.6258
Mixture Models	LR	0.89	0.75	0.80	0.86	0.6385
	AdaBoost	0.86	0.83	0.79	0.87	0.7385
	Gradient Boosting	0.81	0.81	0.80	0.88	0.8325
	Decision Tree	0.80	0.84	0.91	0.81	0.8690
	Random Forest	0.79	0.86	0.90	0.82	0.8630
	SVM	0.82	0.90	0.88	0.85	0.7018
	MOE	0.92	0.90	0.86	0.86	0.4321