Datasets:

HES-XPLAIN

/

Mnist

like 0

Number of rules : 4910, mean sample covering number per rule : 101.016701, mean number of antecedents per rule : 7.106314

No decision threshold is used.

Rule 1: X323>=219.3 X517>=198.9 X180<5.1 X492<25.5 X272<25.5 X347<10.2 X576<20.4 X236<30.6 X436<132.6 X541<30.6 -> class 1

Train Covering size : 2156

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999678

Rule 2: X236<15.3 X464<20.4 X151<10.2 X522<5.1 X406>=234.6 X353<30.6 X271<40.8 X345<76.5 X375<20.4 X293<158.1 X575<91.8 X553<10.2 -> class 1

Train Covering size : 1996

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999813

Rule 3: X494<20.4 X410<15.3 X378>=229.5 X298<30.6 X490>=214.2 X569<15.3 X322>=239.7 X205<10.2 X515<66.3 X269<5.1 X597<15.3 -> class 1

Train Covering size : 1851

Train Fidelity : 1

Train Accuracy : 0.99946

Train Confidence : 0.99947

Rule 4: X483>=35.7 X408<66.3 X656>=10.2 X325<40.8 X488<25.5 X301>=15.3 X519<132.6 X569>=40.8 -> class 0

Train Covering size : 1683

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999993

Rule 5: X511>=127.5 X434<35.7 X427>=56.1 X627>=137.7 X380<30.6 X243>=40.8 X209>=239.7 X461<45.9 -> class 0

Train Covering size : 1432

Train Fidelity : 1

Train Accuracy : 0.999302

Train Confidence : 0.999979

Rule 6: X378>=204 X207<10.2 X431<25.5 X461>=249.9 X487<35.7 X270<81.6 X150<51 X319<132.6 X349>=10.2 X625<76.5 -> class 1

Train Covering size : 1356

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999584

Rule 7: X323>=198.9 X577<51 X492<51 X179<30.6 X291<15.3 X403<45.9 X406>=219.3 X410<15.3 X514<91.8 X234<168.3 X155>=10.2 X547<117.3 -> class 1

Train Covering size : 1347

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999244

Rule 8: X577<15.3 X351>=224.4 X409<40.8 X516>=193.8 X158>=117.3 X210<10.2 X464<35.7 X155<66.3 X566<61.2 -> class 1

Train Covering size : 1264

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999942

Rule 9: X322>=158.1 X348<51 X549<30.6 X235<5.1 X462>=244.8 X541<5.1 X317<20.4 X267>=229.5 X177<102 X211>=234.6 -> class 1

Train Covering size : 1242

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999705

Rule 10: X465<25.5 X347<10.2 X206<15.3 X406>=168.3 X353<51 X513<5.1 X403<5.1 X576<30.6 X181<5.1 X236<30.6 X595<61.2 X212>=71.4 X491<35.7 -> class 1

Train Covering size : 1218

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999729

Rule 11: X410<20.4 X295>=239.7 X549<81.6 X211>=239.7 X633<40.8 X208<20.4 X430<35.7 X464<147.9 X318<20.4 X299<91.8 X184>=122.4 -> class 1

Train Covering size : 1193

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999105

Rule 12: X382<25.5 X577<5.1 X489>=234.6 X291<15.3 X323>=234.6 X494<15.3 X180<25.5 X267>=183.6 X214<209.1 X573>=244.8 X566<5.1 -> class 1

Train Covering size : 1171

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999362

Rule 13: X466<15.3 X296>=239.7 X159>=66.3 X575<25.5 X516>=219.3 X291<10.2 X153<10.2 X403<122.4 X182<15.3 -> class 1

Train Covering size : 1155

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999966

Rule 14: X434<15.3 X483>=153 X492<10.2 X352<61.2 X182>=178.5 X348<71.4 X602>=5.1 X428>=20.4 -> class 0

Train Covering size : 1150

Train Fidelity : 1

Train Accuracy : 0.99913

Train Confidence : 0.999987

Rule 15: X379<20.4 X625>=71.4 X460<5.1 X456>=102 X435<10.2 X322<86.7 X656>=244.8 -> class 0

Train Covering size : 1134

Train Fidelity : 1

Train Accuracy : 1

Train Confidence : 0.999991

Rule 16: X436<25.5 X400>=178.5 X568>=66.3 X406<20.4 X348<30.6 X461<25.5 X599>=132.6 X215>=10.2 -> class 0

Train Covering size : 1128

Train Fidelity : 1

Train Accuracy : 0.999113

Train Confidence : 0.999994

Rule 17: X455>=51 X624>=188.7 X406<71.4 X463<66.3 X351<5.1 X486<56.1 X127<20.4 -> class 0