Effective hybrid feature selection using different bootstrap enhances cancers classification performance

Abdelwahed, Noura Mohammed; El-Tawel, Gh. S.; Makhlouf, M. A.

doi:10.1186/s13040-022-00304-y

BioData Mining

Table 19 The proposed methods compared with the IGF, Chi-square and Bat algorithm methods

From: Effective hybrid feature selection using different bootstrap enhances cancers classification performance

Datasets	Train Data %	Test Data %	Over-fitting Diff. %	Pre	Rec	F1-score	NO.F	F-Time (sec)	C-Time (sec)	AUC	Var.	ACC %
Information gain
KNN classifier
RNA gene	99.723	99.627	0.096	0.998	0.996	0.997	3576	1.182	0.005	1.000	0.000036	99.627
DNA CNV	81.310	74.448	6.862	0.671	0.640	0.636	3315	5.651	0.014	0.850	0.001361	74.448
Parkinson’s disease	81.026	72.479	8.547	0.777	0.885	0.827	396	0.093	0.0008	0.452	0.002384	72.479
Dermatology diseases	97.996	97.267	0.729	0.974	0.970	0.969	25	0.032	0.0002	0.964	0.000496	97.267
BreastEW	94.728	92.976	1.752	0.924	0.888	0.904	22	0.064	0.002	0.969	0.000953	92.976
Naïve base classifier
RNA gene	100.000	96.380	3.620	0.9685	0.946	0.952	3576	1.182	0.029	0.970	0.000710	96.380
DNA CNV	66.994	65.637	1.357	0.647	0.657	0.626	3315	5.651	0.435	0.832	0.001336	65.637
Parkinson’s disease	74.618	74.070	0.548	0.803	0.867	0.833	396	0.093	0.004	0.721	0.006235	74.070
Dermatology diseases	86.947	85.781	1.166	0.828	0.856	0.802	25	0.032	0.0007	0.984	0.001143	85.781
BreastEW	94.259	93.853	0.406	0.946	0.887	0.914	22	0.064	0.002	0.988	0.000766	93.853
Decision tree classifier
RNA gene	99.154	97.250	1.904	0.975	0.977	0.975	3576	1.182	0.836	0.989	0.000444	97.250
DNA CNV	65.626	64.574	1.052	0.553	0.559	0.551	3315	5.651	2.067	0.820	0.000900	64.574
Parkinson’s disease	86.449	75.528	10.921	0.810	0.878	0.841	396	0.093	0.077	0.707	0.005645	75.528
Dermatology diseases	88.494	85.015	3.479	0.725	0.745	0.721	25	0.032	0.0008	0.934	0.003209	85.015
BreastEW	96.466	94.029	2.437	0.924	0.920	0.918	22	0.064	0.003	0.967	0.001310	94.029
Chi-square
KNN classifier
RNA gene	99.847	99.750	0.097	0.999	0.997	0.998	7555	0.0801	0.010	1.000	0.000028	99.750
DNA CNV	70.283	59.635	10.648	0.526	0.498	0.492	5555	0.528	0.005	0.753	0.002142	59.635
Parkinson’s disease	81.158	72.612	8.546	0.778	0.886	0.828	398	0.016	0.001	0.452	0.002308	72.612
Dermatology diseases	92.622	88.498	4.124	0.889	0.875	0.865	24	0.094	0.0009	0.967	0.002641	88.498
BreastEW	94.728	92.976	1.752	0.924	0.888	0.904	21	0.016	0.002	0.969	0.000953	92.976
Naïve base classifier
RNA gene	100.000	75.787	24.213	0.746	0.683	0.680	7555	0.0801	0.184	0.809	0.004833	75.787
DNA CNV	49.600	48.765	0.835	0.512	0.506	0.468	5555	0.528	0.552	0.734	0.000893	48.765
Parkinson’s disease	74.691	74.207	0.484	0.797	0.879	0.835	398	0.016	0.006	0.708	0.008073	74.207
Dermatology diseases	89.445	87.164	2.281	0.816	0.860	0.817	24	0.094	0.0004	0.975	0.001954	87.164
BreastEW	94.220	93.678	0.542	0.946	0.882	0.912	21	0.016	0.0007	0.988	0.000967	93.678
Decision tree classifier
RNA gene	99.154	97.250	1.904	0.974	0.976	0.974	7555	0.0801	5.221	0.990	0.000410	97.250
DNA CNV	58.451	55.863	2.588	0.464	0.458	0.452	5555	0.528	2.155	0.776	0.000253	55.863
Parkinson’s disease	83.127	76.721	6.406	0.823	0.878	0.849	398	0.016	0.117	0.729	0.005338	76.721
Dermatology diseases	88.494	85.015	3.479	0.725	0.745	0.721	24	0.094	0.0008	0.934	0.003209	85.015
BreastEW	96.466	93.327	3.139	0.915	0.911	0.909	21	0.016	0.010	0.966	0.002513	93.327
Bat algorithm
KNN classifier
RNA gene	99.861	99.752	0.109	0.999	0.997	0.998	6483	1350	0.012	1.000	0.000027	99.752
DNA CNV	81.786	75.309	6.477	0.685	0.644	0.639	5301	1280	0.008	0.864	0.000235	75.309
Parkinson’s disease	80.277	69.326	10.951	0.757	0.869	0.809	35	0.305	9.422	0.507	0.003475	69.326
Dermatology diseases	98.027	97.260	0.767	0.971	0.970	0.969	19	0.255	0.002	0.974	0.001678	97.260
BreastEW	94.728	92.976	1.752	0.924	0.888	0.904	14	0.200	0.001	0.969	0.000953	92.976
Naïve base classifier
RNA gene	99.882	83.777	16.105	0.858	0.787	0.792	6483	1350	0.084	0.875	0.002498	83.777
DNA CNV	67.463	66.290	1.173	0.654	0.663	0.632	5301	1280	0.186	0.873	0.002012	66.290
Parkinson’s disease	75.617	74.744	0.873	0.792	0.899	0.841	35	0.305	0.0008	0.706	0.005885	74.744
Dermatology diseases	86.109	85.540	0.569	0.801	0.850	0.799	19	0.255	0.001	0.979	0.001915	85.540
BreastEW	95.477	95.099	0.378	0.962	0.906	0.931	14	0.200	0.0005	0.990	0.001183	95.099
Decision tree classifier
RNA gene	99.320	98.750	0.570	0.988	0.990	0.988	6483	1350	1.782	0.994	0.000139	98.750
DNA CNV	65.592	64.608	0.984	0.553	0.560	0.551	5301	1280	0.578	0.822	0.000894	64.608
Parkinson’s disease	81.820	74.609	7.211	0.783	0.915	0.843	35	0.305	0.010	0.699	0.003413	74.609
Dermatology diseases	89.011	87.177	1.834	0.747	0.761	0.742	19	0.255	0.002	0.942	0.002909	87.177
BreastEW	96.466	94.029	2.437	0.924	0.920	0.918	14	0.200	0.003	0.968	0.001310	94.029

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