brcancer.dat								brcancer.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.2963	0.7407	0.7778	0.7778					0.2593	0.2222	-0.0370				0.0222	0.0004938
0.5185	0.8148	0.8889	0.9259					0.1852	0.1111	-0.0741				-0.0148	0.0002195
0.7037	0.8889	0.7407	0.1481					0.1111	0.2593	0.1481				0.2074	0.0430178
0.4815	0.5185	0.5926	0.4444					0.4815	0.4074	-0.0741				-0.0148	0.0002195
0.3333	0.5556	0.5926	0.5926					0.4444	0.4074	-0.0370				0.0222	0.0004938
0.6667	0.8148	0.8148	0.2593					0.1852	0.1852	0.0000				0.0593	0.0035117
0.5926	0.6296	0.6296	0.5185					0.3704	0.3704	0.0000				0.0593	0.0035117
0.5185	0.6296	0.5926	0.6296					0.3704	0.4074	0.0370				0.0963	0.0092730
0.4444	0.3704	0.8889	0.5926					0.6296	0.1111	-0.5185				-0.4593	0.2109191
0.5185	0.7407	0.7778	0.7037					0.2593	0.2222	-0.0370				0.0222	0.0004938
0.5074	0.6704	0.7296	0.5593	66.0214	m			0.3296	0.2704	-0.0593	dm				0.2722	S(di-dm)^²
0.0410	0.0504	0.0379	0.0733	4.0614	s=sacc/Ök					0.0550	sd
0.0803	0.0989	0.0742	0.1437	7.9603	95% confidence	1.96				0.1226	95% confidence	2.23
census.dat								census.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.5300	0.8100	0.7600	0.6600					0.1900	0.2400	0.0500				0.0710	0.0050410
0.4900	0.8000	0.8300	0.5800					0.2000	0.1700	-0.0300				-0.0090	0.0000810
0.6000	0.7800	0.7600	0.7700					0.2200	0.2400	0.0200				0.0410	0.0016810
0.6700	0.7700	0.8000	0.7400					0.2300	0.2000	-0.0300				-0.0090	0.0000810
0.7100	0.7000	0.7500	0.6300					0.3000	0.2500	-0.0500				-0.0290	0.0008410
0.6600	0.7500	0.7900	0.3400					0.2500	0.2100	-0.0400				-0.0190	0.0003610
0.6800	0.6800	0.7500	0.5000					0.3200	0.2500	-0.0700				-0.0490	0.0024010
0.7000	0.7100	0.7600	0.7700					0.2900	0.2400	-0.0500				-0.0290	0.0008410
0.6600	0.7000	0.7500	0.6300					0.3000	0.2500	-0.0500				-0.0290	0.0008410
0.5600	0.7700	0.7300	0.4100					0.2300	0.2700	0.0400				0.0610	0.0037210
0.6260	0.7470	0.7680	0.6030	73.6335	m			0.2530	0.2320	-0.0210	dm				0.0159	S(di-dm)^²
0.0241	0.0146	0.0094	0.0468	3.3493	s=sacc/Ök					0.0133	sd
0.0473	0.0286	0.0184	0.0917	6.5646	confidence	1.96				0.0296	95% confidence	2.23
credit.dat								credit.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.8154	0.9077	0.8615	0.4769					0.0923	0.1385	0.0462				0.0400	0.0016000
0.6462	0.8154	0.8462	0.5692					0.1846	0.1538	-0.0308				-0.0369	0.0013633
0.6615	0.8615	0.8462	0.5692					0.1385	0.1538	0.0154				0.0092	0.0000852
0.6154	0.8154	0.8154	0.6308					0.1846	0.1846	0.0000				-0.0062	0.0000379
0.7231	0.8154	0.8154	0.5077					0.1846	0.1846	0.0000				-0.0062	0.0000379
0.6923	0.8769	0.8308	0.5846					0.1231	0.1692	0.0462				0.0400	0.0016000
0.6154	0.7846	0.7231	0.6615					0.2154	0.2769	0.0615				0.0554	0.0030675
0.4769	0.8000	0.8000	0.5385					0.2000	0.2000	0.0000				-0.0062	0.0000379
0.7538	0.7231	0.8154	0.5846					0.2769	0.1846	-0.0923				-0.0985	0.0096947
0.5692	0.8462	0.8308	0.4615					0.1538	0.1692	0.0154				0.0092	0.0000852
0.6569	0.8246	0.8185	0.5585	80.1834	m			0.1754	0.1815	0.0062	dm				0.0176	S(di-dm)^²
0.0305	0.0164	0.0121	0.0201	1.5259	s=sacc/Ök					0.0140	sd
0.0598	0.0322	0.0237	0.0395	2.9908	confidence	1.96				0.0312	95% confidence	2.23
diabetes.dat								diabetes.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.6842	0.7105	0.6974	0.6184					0.2895	0.3026	0.0132				0.0434	0.0018854
0.6316	0.7237	0.8158	0.5789					0.2763	0.1842	-0.0921				-0.0618	0.0038244
0.3947	0.7105	0.7105	0.4605					0.2895	0.2895	0.0000				0.0303	0.0009159
0.4211	0.7237	0.7632	0.3816					0.2763	0.2368	-0.0395				-0.0092	0.0000848
0.6711	0.6842	0.7368	0.7500					0.3158	0.2632	-0.0526				-0.0224	0.0005003
0.7763	0.7500	0.7237	0.6842					0.2500	0.2763	0.0263				0.0566	0.0032012
0.6053	0.7500	0.7632	0.3816					0.2500	0.2368	-0.0132				0.0171	0.0002926
0.5526	0.6974	0.8289	0.6447					0.3026	0.1711	-0.1316				-0.1013	0.0102649
0.7237	0.8026	0.7763	0.7237					0.1974	0.2237	0.0263				0.0566	0.0032012
0.5921	0.7237	0.7632	0.4211					0.2763	0.2368	-0.0395				-0.0092	0.0000848
0.6053	0.7276	0.7579	0.5645	56.3671	m			0.2724	0.2421	-0.0303	dm				0.0243	S(di-dm)^²
0.0388	0.0106	0.0135	0.0450	4.5369	s=sacc/Ök					0.0164	sd
0.0761	0.0207	0.0264	0.0881	8.8923	confidence	1.96				0.0366	95% confidence	2.23
glass.dat								glass.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.7143	0.6667	0.6190	0.3810					0.3333	0.3810	0.0476				0.0238	0.0005669
0.6190	0.8571	0.4286	0.4762					0.1429	0.5714	0.4286				0.4048	0.1638322
0.7143	0.5238	0.5238	0.6190					0.4762	0.4762	0.0000				-0.0238	0.0005669
0.7143	0.8095	0.4762	0.4762					0.1905	0.5238	0.3333				0.3095	0.0958050
0.3810	0.6667	0.8571	0.6667					0.3333	0.1429	-0.1905				-0.2143	0.0459184
0.6190	0.6667	0.6667	0.3333					0.3333	0.3333	0.0000				-0.0238	0.0005669
0.5238	0.5714	0.5714	0.5238					0.4286	0.4286	0.0000				-0.0238	0.0005669
0.4762	0.5714	0.7619	0.4762					0.4286	0.2381	-0.1905				-0.2143	0.0459184
0.5238	0.5238	0.6190	0.5238					0.4762	0.3810	-0.0952				-0.1190	0.0141723
0.3810	0.6190	0.7143	0.7143					0.3810	0.2857	-0.0952				-0.1190	0.0141723
0.5667	0.6476	0.6238	0.5190	64.3055	m			0.3524	0.3762	0.0238	dm				0.3821	S(di-dm)^²
0.0411	0.0356	0.0417	0.0379	4.9017	s=sacc/Ök					0.0652	sd
0.0805	0.0698	0.0817	0.0742	9.6073	confidence	1.96				0.1453	95% confidence	2.23
heart.dat								heart.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.5862	0.8276	0.7586	0.4828					0.1724	0.2414	0.0690				0.0103	0.0001070
0.6552	0.8966	0.7586	0.4483					0.1034	0.2414	0.1379				0.0793	0.0062901
0.7586	0.8276	0.8621	0.6552					0.1724	0.1379	-0.0345				-0.0931	0.0086683
0.4138	0.7241	0.6552	0.4828					0.2759	0.3448	0.0690				0.0103	0.0001070
0.8276	0.8621	0.6552	0.5172					0.1379	0.3448	0.2069				0.1483	0.0219857
0.5172	0.6207	0.7586	0.5517					0.3793	0.2414	-0.1379				-0.1966	0.0386326
0.7586	0.7586	0.7241	0.6552					0.2414	0.2759	0.0345				-0.0241	0.0005826
0.7241	0.8276	0.6897	0.7586					0.1724	0.3103	0.1379				0.0793	0.0062901
0.3793	0.8276	0.6897	0.3103					0.1724	0.3103	0.1379				0.0793	0.0062901
0.3448	0.7931	0.8276	0.5862					0.2069	0.1724	-0.0345				-0.0931	0.0086683
0.5966	0.7966	0.7379	0.5448	59.3938	m			0.2034	0.2621	0.0586	dm				0.0976	S(di-dm)^²
0.0554	0.0249	0.0219	0.0401	7.4653	s=sacc/Ök					0.0329	sd
0.1085	0.0488	0.0430	0.0786	14.6320	confidence	1.96				0.0734	95% confidence	2.23
iris.dat								iris.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.9333	1.0000	1.0000	0.6667					0.0000	0.0000	0.0000				-0.1067	0.0113778
1.0000	0.9333	0.8000	0.2667					0.0667	0.2000	0.1333				0.0267	0.0007111
0.8000	1.0000	1.0000	0.4667					0.0000	0.0000	0.0000				-0.1067	0.0113778
0.9333	1.0000	0.8000	0.4667					0.0000	0.2000	0.2000				0.0933	0.0087111
0.8000	1.0000	0.8667	0.3333					0.0000	0.1333	0.1333				0.0267	0.0007111
0.8000	1.0000	0.8667	0.8667					0.0000	0.1333	0.1333				0.0267	0.0007111
0.8667	0.9333	0.9333	0.5333					0.0667	0.0667	0.0000				-0.1067	0.0113778
0.8000	1.0000	0.8000	0.6000					0.0000	0.2000	0.2000				0.0933	0.0087111
0.9333	1.0000	0.7333	0.6000					0.0000	0.2667	0.2667				0.1600	0.0256000
1.0000	1.0000	1.0000	0.6667					0.0000	0.0000	0.0000				-0.1067	0.0113778
0.8867	0.9867	0.8800	0.5467	94.2000	m			0.0133	0.1200	0.1067	dm				0.0907	S(di-dm)^²
0.0264	0.0089	0.0311	0.0552	4.3665	s=sacc/Ök					0.0317	sd
0.0517	0.0174	0.0610	0.1081	8.5583	confidence	1.96				0.0708	95% confidence	2.23
promoters.dat								promoters.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.4000	0.7000	0.4000	0.4000					0.3000	0.6000	0.3000				0.2500	0.0625000
0.9000	0.9000	0.9000	0.4000					0.1000	0.1000	0.0000				-0.0500	0.0025000
0.8000	0.6000	0.8000	0.1000					0.4000	0.2000	-0.2000				-0.2500	0.0625000
0.6000	0.8000	0.9000	0.5000					0.2000	0.1000	-0.1000				-0.1500	0.0225000
0.5000	0.8000	0.6000	0.4000					0.2000	0.4000	0.2000				0.1500	0.0225000
0.7000	0.7000	0.5000	0.7000					0.3000	0.5000	0.2000				0.1500	0.0225000
0.4000	0.7000	0.9000	0.1000					0.3000	0.1000	-0.2000				-0.2500	0.0625000
0.3000	0.6000	0.6000	0.3000					0.4000	0.4000	0.0000				-0.0500	0.0025000
0.4000	0.8000	0.6000	0.6000					0.2000	0.4000	0.2000				0.1500	0.0225000
0.9000	0.6000	0.5000	0.2000					0.4000	0.5000	0.1000				0.0500	0.0025000
0.5900	0.7200	0.6700	0.3700	76.9444	m			0.2800	0.3300	0.0500	dm				0.2850	S(di-dm)^²
0.0706	0.0327	0.0597	0.0633	4.3528	s=sacc/Ök					0.0563	sd
0.1384	0.0640	0.1171	0.1241	8.5315	confidence	1.96				0.1255	95% confidence	2.23
rotate.dat								rotate.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.8700	0.8800	0.8800	0.5600					0.1200	0.1200	0.0000				0.0060	0.0000360
0.8800	0.8700	0.8900	0.7700					0.1300	0.1100	-0.0200				-0.0140	0.0001960
0.6400	0.8900	0.8700	0.1300					0.1100	0.1300	0.0200				0.0260	0.0006760
0.8000	0.8700	0.8600	0.7600					0.1300	0.1400	0.0100				0.0160	0.0002560
0.7900	0.9100	0.8900	0.7900					0.0900	0.1100	0.0200				0.0260	0.0006760
0.4300	0.7900	0.7400	0.8300					0.2100	0.2600	0.0500				0.0560	0.0031360
0.8800	0.8400	0.9100	0.0800					0.1600	0.0900	-0.0700				-0.0640	0.0040960
0.8800	0.9100	0.9000	0.7900					0.0900	0.1000	0.0100				0.0160	0.0002560
0.6200	0.9000	0.9300	0.0300					0.1000	0.0700	-0.0300				-0.0240	0.0005760
0.7000	0.8000	0.8500	0.8000					0.2000	0.1500	-0.0500				-0.0440	0.0019360
0.7490	0.8660	0.8720	0.5540	86.1260	m			0.1340	0.1280	-0.0060	dm				0.0118	S(di-dm)^²
0.0475	0.0136	0.0165	0.1063	1.4901	s=sacc/Ök					0.0115	sd
0.0931	0.0267	0.0322	0.2083	2.9206	confidence	1.96				0.0256	95% confidence	2.23
voting.dat								voting.dat	k=	10
Perceptron		MultiLayer		D-Tree				Perceptron	MultiLayer	d
STOCHASTIC	NON-STOCHASTIC	STOCHASTIC	NON-STOCHASTIC	Pruning				NON-STOCHASTIC	STOCHASTIC					(di-dm)	(di-dm)^²
0.9070	0.8837	0.9302	0.6047					0.1163	0.0698	-0.0465				-0.0512	0.0026176
0.2326	0.9302	1.0000	0.6744					0.0698	0.0000	-0.0698				-0.0744	0.0055381
0.6512	0.9767	0.9767	0.6047					0.0233	0.0233	0.0000				-0.0047	0.0000216
0.7674	0.8605	0.8605	0.7442					0.1395	0.1395	0.0000				-0.0047	0.0000216
0.8605	0.9302	0.8605	0.5349					0.0698	0.1395	0.0698				0.0651	0.0042401
0.5814	0.9302	0.9302	0.1860					0.0698	0.0698	0.0000				-0.0047	0.0000216
0.8372	0.8837	0.9070	0.5581					0.1163	0.0930	-0.0233				-0.0279	0.0007788
0.9535	0.8837	0.8605	0.4186					0.1163	0.1395	0.0233				0.0186	0.0003461
0.8140	0.9535	0.8837	0.7209					0.0465	0.1163	0.0698				0.0651	0.0042401
0.7442	0.9070	0.8837	0.0930					0.0930	0.1163	0.0233				0.0186	0.0003461
0.7349	0.9140	0.9093	0.5140	93.6551	m			0.0860	0.0907	0.0047	dm				0.0182	S(di-dm)^²
0.0662	0.0115	0.0157	0.0695	1.9722	s=sacc/Ök					0.0142	sd
0.1297	0.0226	0.0307	0.1361	3.8655	confidence	1.96				0.0317	95% confidence	2.23