Development of Paddy Rice Seed Classification Process using Machine Learning Techniques for Automatic Grading Machine

Table 1

Experimental results of statistical classification techniques.

Method									Train
	Train	Test	Train	Test	Train	Test	Train	Test	Avg. Std
	GrpI
KNN	71.09	72.12	72.02	73.84	72.02	73.74	72.09	73.67	8.70E-03
LR	81.09	80.2	86.59	85.86	89.09	88.35	89.46	88.72	1.08E-02
LDA	80.35	80.25	85.86	85.54	88.56	87.76	89.21	88.79	9.51E-03
SVM	85.9	85.81	89.57	89.26	90.48	90.59	90.54	90.61	4.40E-03
	GrpII
KNN	60.69	61.18	61.78	62.04	61.77	62.36	61.77	62.27	1.08E-02
LR	71.25	70.27	76.51	76.11	79.28	80.1	80.07	80.49	9.16E-03
LDA	70.76	70.49	76.28	75.64	79.2	80.51	79.6	80.17	7.12E-03
SVM	77.12	76.9	81.31	81.4	82.54	82.66	82.44	82.71	7.26E-03
	GrpAll
KNN	55.93	56.87	57.37	58.49	57.49	58.71	57.46	58.69	4.87E-03
LR	68.91	69.33	76.68	76.91	80.25	80.66	80.63	81.12	6.17E-03
LDA	67.31	67.26	75.16	75.12	79.13	78.74	79.68	79.77	6.80E-03
SVM	76.26	76.96	81.7	82.16	83.0	83.85	83.07	83.9	2.04E-03