Linear discriminant analysis Model results.

accuracy: 71.11%

	true Moderate	true Mild	true No Damage	true Severe	class precision
pred. Moderate	29	5	0	5	74.36%
pred. Mild	0	0	1	0	0.00%
pred. No Damage	0	2	3	0	60.00%
pred. Severe	0	0	0	0	0.00%
class recall	100.00%	0.00%	75.00%	0.00%

k-Nearest Neighbors model results.

accuracy: 88.89%

	true Moderate	true Mild	true No Damage	true Severe	class precision
pred. Moderate	28	0	0	1	96.55%
pred. Mild	0	6	2	0	75.00%
pred. No Damage	0	1	2	0	66.67%
pred. Severe	1	0	0	4	80.00%
class recall	96.55%	85.71%	50.00%	80.00%

Nave Bayes model results

accuracy: 51.11%

	true Moderate	true Mild	true No Damage	true Severe	class precision
pred. Moderate	12	0	1	1	85.71%
pred. Mild	12	5	1	0	27.78%
pred. No Damage	0	2	2	0	50.00%
pred. Severe	5	0	0	4	44.44%
class recall	41.38%	71.43%	50.00%	80.00%

Based on the information above

• Interpret the accuracy of each model.
• Which of the models is the best based on accuracy?