Table 7 Performance of different classifiers based on the selected features by various bio-inspired algorithms on complete dataset of 1000 samples of superpixels.

From: Precise and Quantitative Chlorosis Severity Assessment Framework (PQCSAF) using evolutionary superpixels

Method	Classifier	Type	Acc.	Err.	Sensit.	Specif.	Prec.	FPR	F1-Sc.	MCC
PCA	DT	Type-1	81.20	18.80	0.8120	0.9547	0.8565	0.0450	0.8337	0.7807
		Type-2	68.40	31.60	0.6840	0.8573	0.6151	0.1430	0.6477	0.5232
		Type-3	77.60	22.40	0.7760	0.9347	0.7984	0.0650	0.7870	0.7175
		Type-4	75.20	24.80	0.7520	0.9280	0.7769	0.0720	0.7642	0.6875
		Average	75.60	24.40	0.7560	0.9187	0.7617	0.0810	0.7582	0.6772
	KNN	Type-1	97.60	2.40	0.9760	0.9587	0.8873	0.0410	0.9295	0.9064
		Type-2	88.80	11.20	0.8880	0.9280	0.8043	0.0720	0.8441	0.7904
		Type-3	86.00	14.00	0.8600	0.9773	0.9267	0.0230	0.8921	0.8590
		Type-4	83.20	16.80	0.8320	0.9880	0.9585	0.0120	0.8908	0.8614
		Average	88.90	11.10	0.8890	0.9630	0.8942	0.0370	0.8891	0.8543
	SVM	Type-1	99.20	0.80	0.9920	0.9853	0.9575	0.0150	0.9745	0.9660
		Type-2	91.20	8.80	0.9120	0.9547	0.8702	0.0450	0.8906	0.8534
		Type-3	91.60	8.40	0.9160	0.9800	0.9385	0.0200	0.9271	0.9033
		Type-4	90.40	9.60	0.9040	0.9880	0.9617	0.0120	0.9320	0.9110
		Average	93.10	6.90	0.9310	0.9770	0.9320	0.0230	0.9310	0.9084
	MLP	Type-1	97.20	2.80	0.9720	0.9947	0.9838	0.0050	0.9779	0.9706
		Type-2	94.00	6.00	0.9400	0.9480	0.8577	0.0520	0.8969	0.8621
		Type-3	94.00	6.00	0.9400	0.9893	0.9671	0.0110	0.9533	0.9383
		Type-4	90.80	9.20	0.9080	0.9880	0.9619	0.0120	0.9342	0.9137
		Average	94.00	6.00	0.9400	0.9800	0.9426	0.0200	0.9406	0.9212
GA	DT	Type-1	89.60	10.40	0.8960	0.9653	0.8960	0.0350	0.8960	0.8613
		Type-2	84.00	16.00	0.8400	0.9467	0.8400	0.0530	0.8400	0.7867
		Type-3	84.80	15.20	0.8480	0.9520	0.8548	0.0480	0.8514	0.8022
		Type-4	90.80	9.20	0.9080	0.9667	0.9008	0.0330	0.9044	0.8724
		Average	87.30	12.70	0.8730	0.9577	0.8729	0.0420	0.8729	0.8306
	KNN	Type-1	98.80	1.20	0.9880	0.9680	0.9114	0.0320	0.9482	0.9313
		Type-2	79.20	20.80	0.7920	0.9773	0.9209	0.0230	0.8516	0.8109
		Type-3	90.80	9.20	0.9080	0.9813	0.9419	0.0190	0.9246	0.9004
		Type-4	96.40	3.60	0.9640	0.9573	0.8828	0.0430	0.9216	0.8955
		Average	91.30	8.70	0.9130	0.9710	0.9143	0.0290	0.9115	0.8845
	SVM	Type-1	97.60	2.40	0.9760	0.9867	0.9606	0.013	0.9683	0.9576
		Type-2	91.60	8.40	0.9160	0.9773	0.9309	0.0230	0.9234	0.8982
		Type-3	94.00	6.00	0.9400	0.9773	0.9325	0.0230	0.9363	0.9149
		Type-4	95.60	4.40	0.9560	0.9880	0.9637	0.0120	0.9598	0.9465
		Average	94.70	5.30	0.9470	0.9823	0.9469	0.0180	0.9469	0.9293
	MLP	Type-1	98.40	1.60	0.9840	0.9799	0.9425	0.0200	0.9628	0.9504
		Type-2	94.00	6.00	0.9400	0.9772	0.9325	0.0230	0.9363	0.9148
		Type-3	91.60	8.40	0.9160	0.9893	0.9662	0.0110	0.9405	0.9218
		Type-4	96.36	3.64	0.9636	0.9880	0.9636	0.0120	0.9636	0.9516
		Average	95.09	4.91	0.9509	0.9836	0.9512	0.0160	0.9508	0.9346
PSO	DT	Type-1	88.00	12.00	0.8800	0.9680	0.9016	0.0320	0.8907	0.8549
		Type-2	82.00	18.00	0.8200	0.9320	0.8008	0.0680	0.8103	0.7461
		Type-3	85.20	14.80	0.8520	0.9480	0.8452	0.0520	0.8486	0.7979
		Type-4	89.20	10.80	0.8920	0.9667	0.8992	0.0330	0.8956	0.8610
		Average	86.10	13.90	0.8610	0.9537	0.8617	0.0460	0.8613	0.8150
	KNN	Type-1	98.40	1.60	0.9840	0.9587	0.8881	0.0410	0.9336	0.9121
		Type-2	76.40	23.60	0.7640	0.9760	0.9139	0.0240	0.8322	0.7881
		Type-3	89.60	10.40	0.8960	0.9813	0.9412	0.0190	0.9180	0.8921
		Type-4	96.00	4.00	0.9600	0.9520	0.8696	0.0480	0.9125	0.8834
		Average	90.10	9.90	0.9010	0.9670	0.9032	0.0330	0.8991	0.8689
	SVM	Type-1	97.60	2.40	0.9760	0.9840	0.9531	0.0160	0.9644	0.9525
		Type-2	91.60	8.40	0.9160	0.9773	0.9309	0.0230	0.9234	0.8982
		Type-3	92.00	8.00	0.9200	0.9773	0.9312	0.0230	0.9256	0.9010
		Type-4	96.40	3.60	0.9640	0.9867	0.9602	0.0130	0.9621	0.9494
		Average	94.40	5.60	0.9440	0.9813	0.9438	0.0190	0.9439	0.9253
	MLP	Type-1	98.00	2.00	0.9800	0.9827	0.9496	0.0170	0.9646	0.9527
		Type-2	93.60	6.40	0.9360	0.9800	0.9398	0.0200	0.9379	0.9172
		Type-3	92.40	7.60	0.9240	0.9840	0.9506	0.0160	0.9371	0.9167
		Type-4	96.00	4.00	0.9600	0.9867	0.9600	0.0130	0.9600	0.9467
		Average	95.20	4.80	0.9520	0.9840	0.9520	0.0160	0.9519	0.9360
ACO	DT	Type-1	90.80	9.20	0.9080	0.9720	0.9153	0.0280	0.9116	0.8824
		Type-2	86.40	13.60	0.8640	0.9400	0.8276	0.0600	0.8454	0.7927
		Type-3	84.40	15.60	0.8440	0.9533	0.8577	0.0470	0.8508	0.8017
		Type-4	89.60	10.40	0.8960	0.9720	0.9143	0.028	0.9051	0.8739
		Average	87.80	12.20	0.8780	0.9593	0.8787	0.0410	0.8782	0.8377
	KNN	Type-1	98.80	1.20	0.9880	0.9640	0.9015	0.036	0.9427	0.9243
		Type-2	80.80	19.20	0.8080	0.9747	0.9140	0.0250	0.8577	0.8168
		Type-3	88.80	11.20	0.8880	0.9800	0.9367	0.0200	0.9117	0.8839
		Type-4	96.00	4.00	0.9600	0.9627	0.8955	0.0370	0.9266	0.9020
		Average	91.10	8.90	0.9110	0.9703	0.9119	0.0300	0.9097	0.8817
	SVM	Type-1	98.40	1.60	0.9840	0.9840	0.9535	0.0160	0.9685	0.9580
		Type-2	91.60	8.40	0.9160	0.9773	0.9309	0.023	0.9234	0.8982
		Type-3	92.00	8.00	0.9200	0.9760	0.9274	0.0240	0.9237	0.8984
		Type-4	96.00	4.00	0.9600	0.9893	0.9677	0.0110	0.9639	0.9519
		Average	94.50	5.50	0.9450	0.9817	0.9449	0.0180	0.9449	0.9266
	MLP	Type-1	98.40	1.60	0.9840	0.9760	0.9318	0.0240	0.9572	0.943
		Type-2	90.00	10.00	0.9000	0.976	0.9259	0.024	0.9128	0.8844
		Type-3	90.40	9.60	0.9040	0.9773	0.9300	0.0230	0.9168	0.8898
		Type-4	96.00	4.00	0.9600	0.9867	0.9600	0.0130	0.9600	0.9467
		Average	93.70	6.30	0.9370	0.9790	0.9369	0.0210	0.9367	0.9160
CS	DT	Type-1	89.60	10.40	0.8960	0.9573	0.8750	0.0430	0.8854	0.8467
		Type-2	82.80	17.20	0.8280	0.9453	0.8347	0.0550	0.8313	0.7754
		Type-3	86.80	13.20	0.8680	0.9493	0.8510	0.0510	0.8594	0.8120
		Type-4	88.40	11.60	0.8840	0.9733	0.9170	0.0270	0.9002	0.8680
		Average	86.90	13.10	0.8690	0.9563	0.8694	0.0440	0.8691	0.8255
	KNN	Type-1	98.40	1.60	0.9840	0.9627	0.8978	0.0370	0.9389	0.9191
		Type-2	76.00	24.00	0.7600	0.9707	0.8962	0.0290	0.8225	0.7741
		Type-3	88.40	11.60	0.8840	0.9760	0.9247	0.0240	0.9039	0.8732
		Type-4	94.80	5.20	0.9480	0.9493	0.8618	0.0510	0.9029	0.8702
		Average	89.40	10.60	0.8940	0.9647	0.8951	0.0350	0.8920	0.8591
	SVM	Type-1	97.60	2.40	0.9760	0.9813	0.9457	0.0190	0.9606	0.9474
		Type-2	92.00	8.00	0.9200	0.9760	0.9274	0.0240	0.9237	0.8984
		Type-3	90.80	9.20	0.9080	0.9760	0.9265	0.0240	0.9172	0.8900
		Type-4	96.00	4.00	0.9600	0.9880	0.9639	0.0120	0.9619	0.9493
		Average	94.10	5.90	0.9410	0.9803	0.9409	0.0200	0.9409	0.9213
	MLP	Type-1	98.80	1.20	0.988	0.9867	0.9611	0.0130	0.9744	0.9658
		Type-2	92.80	7.20	0.9280	0.9840	0.9508	0.0160	0.9393	0.9195
		Type-3	93.60	6.40	0.9360	0.9813	0.9435	0.0190	0.9398	0.9198
		Type-4	97.20	2.80	0.9720	0.9893	0.9681	0.0110	0.9701	0.9601
		Average	95.60	4.40	0.9560	0.9853	0.9559	0.0150	0.9559	0.9413
MSCS	DT	Type-1	88.80	11.20	0.8880	0.9587	0.8775	0.0413	0.8827	0.8433
		Type-2	78.40	21.60	0.7840	0.9493	0.8376	0.0507	0.8099	0.7500
		Type-3	86.40	13.60	0.8640	0.9333	0.8120	0.0667	0.8372	0.7814
		Type-4	88.80	11.20	0.8880	0.9667	0.8989	0.0333	0.8934	0.8581
		Average	85.60	14.40	0.8560	0.9520	0.8565	0.0480	0.8558	0.8082
	KNN	Type-1	98.40	1.60	0.9840	0.9760	0.9318	0.0240	0.9572	0.9430
		Type-2	81.20	18.80	0.8120	0.9533	0.8529	0.0467	0.8320	0.7782
		Type-3	90.80	9.20	0.9080	0.9747	0.9228	0.0253	0.9153	0.8875
		Type-4	89.60	10.40	0.8960	0.9627	0.8889	0.0373	0.8924	0.8564
		Average	90.00	10.00	0.9000	0.9667	0.8991	0.0333	0.8992	0.8663
	SVM	Type-1	98.00	2.00	0.9800	0.9907	0.9722	0.0093	0.9761	0.9681
		Type-2	92.00	8.00	0.9200	0.9760	0.9274	0.0240	0.9237	0.8984
		Type-3	93.60	6.40	0.9360	0.9800	0.9398	0.0200	0.9379	0.9172
		Type-4	96.40	3.60	0.9640	0.9867	0.9602	0.0133	0.9621	0.9494
		Average	95.00	5.00	0.9500	0.9833	0.9499	0.0167	0.9499	0.9333
	MLP	Type-1	98.80	1.20	0.9880	0.9987	0.9960	0.0013	0.9920	0.9893
		Type-2	94.80	5.20	0.9480	0.9920	0.9753	0.0080	0.9615	0.9490
		Type-3	99.20	0.80	0.9920	0.9853	0.9575	0.0147	0.9745	0.9660
		Type-4	97.60	2.40	0.9760	0.9920	0.9760	0.0080	0.9760	0.9680
		Average	97.60	2.40	0.9760	0.9920	0.9762	0.0080	0.9760	0.9681

Back to article page

Table 7 Performance of different classifiers based on the selected features by various bio-inspired algorithms on complete dataset of 1000 samples of superpixels.

Search

Quick links