CPSC 633 - Machine Learning
Project #4 – Naïve Bayes Classifier

Due 11/27/00					Unmil P. Karadkar
	Database	DecisionTree	Perceptron eta=0.01	Neural Network eta = 0.05			Naïve Bayes Classifier
				1 Layer, #attrib nodes		1 hidden node
	Breast Cancer	-	74.88 ± 10.584	73.76 ± 8.00		72.47 ± 10.52	73.4 ± 8.86
	Census	-	-				80.5 ± 3.16
	Credit	-	86.18 ± 3.47	86.51 ± 5.09		86.05 ± 3.81	78.5 ± 6.15
	Diabetes	69.27	76.10 ± 6.07	76.77 ± 5.74		76.33 ± 5.68	75.44 ± 6.33
	Exactly2	74.28 ± 4.87	75.56 ± 5.2	84.6 ± 7.34		76.48 ± 4.17	75.8 ± 4.04
	Exactly3	69.56 ± 7.45	68.92 ± 5.29	99.67 ± 0.84		69.04 ± 7.76	69.4 ± 4.51
	Glass	83.00	73.72 ± 13.44	78.30 ± 15.46		73.85 ± 16.48	71.26 ± 10.78
	Heart	75.67	82.57 ± 7.13	82.83 ± 8.98		83.58 ± 5.58	82.3 ± 9.0
	Iris	97.36	92.94 ± 10.53	93.07 ± 8.10		85.08 ± 23.62	94.16 ± 5.96
	m-of-n	98.8 ± 1.34	97.16 ± 3.76	99.87 ± 0.43		99.74 ± 0.77	90.36 ± 3.78
	Promoters	-	81.70 ± 21.73				80.34 ± 17.03
	Rotate	97.60	88.06 ± 4.15				91.02 ± 2.96
	Secondary	-	-				62.2 ± 1.35
	Voting	96.29	95.03 ± 4.35	95.53 ± 3.88		94.98 ± 4.31	91.18 ± 5.98