LogitBoost: Base classifiers and their weights:
Iteration 1
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 4.493836 : 0.37155688556090677
attrib1 > 4.493836 : -1.133101824538601
attrib1 is missing : -0.457328
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 2
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 4.897416 : 0.7894169758910459
attrib2 > 4.897416 : -0.9214374978935661
attrib2 is missing : -0.06568464113913965
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 3
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 6.8696965 : 0.20180851841037373
attrib1 > 6.8696965 : -0.6641128642972899
attrib1 is missing : -0.04941679928527034
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 4
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 2.2353705 : 0.649989641840846
attrib2 > 2.2353705 : -0.25215886007481886
attrib2 is missing : -0.03140947529752804
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 5
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 1.8846425 : 0.6083011096286088
attrib1 > 1.8846425 : -0.17095815544263548
attrib1 is missing : -0.004941911595958035
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 6
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 7.4716615 : 0.16070743059074033
attrib2 > 7.4716615 : -0.5696363505336361
attrib2 is missing : -0.004303431941932187
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 7
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 7.973881 : 0.054576558233867874
attrib1 > 7.973881 : -0.37992380792386066
attrib1 is missing : -0.01808553259336431
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 8
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 0.790759 : 0.4019948044735291
attrib2 > 0.790759 : -0.04816373036799659
attrib2 is missing : -0.009830879585705913
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 9
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 0.960978 : 0.3297299899452164
attrib1 > 0.960978 : -0.040159162730169236
attrib1 is missing : -8.520676006666822E-4
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 10
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 8.4825585 : 0.04355231363222374
attrib2 > 8.4825585 : -0.3239852567404132
attrib2 is missing : -3.488722153966487E-4
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 11
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 4.897166500000001 : -0.10971209913024037
attrib2 > 4.897166500000001 : 0.12568551185381335
attrib2 is missing : -0.005387731264397364
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 12
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 6.4894915 : 0.07538203735528143
attrib2 > 6.4894915 : -0.17601655502349542
attrib2 is missing : 0.002067624338635157
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 13
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 4.897166500000001 : -0.07743231336675917
attrib2 > 4.897166500000001 : 0.08573332295568571
attrib2 is missing : -0.005006223335059319
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 14
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 3.3082245 : 0.14161270714518376
attrib2 > 3.3082245 : -0.07931507545975547
attrib2 is missing : 0.0015645412846939097
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 15
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 4.897166500000001 : -0.06817665688101764
attrib2 > 4.897166500000001 : 0.07995782590826048
attrib2 is missing : -0.0020983607674728076
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 16
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 4.4939295 : -0.0842941269056911
attrib1 > 4.4939295 : 0.0910695846087844
attrib1 is missing : 0.0016920954724998212
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 17
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 2.9994544999999997 : 0.14071191969994704
attrib1 > 2.9994544999999997 : -0.06660011134446665
attrib1 is missing : 0.0021880833829884374
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 18
Class 1 (class=groupA)
Decision Stump
Classifications
attrib2 <= 6.1245345 : 0.04863830862849801
attrib2 > 6.1245345 : -0.10704350144434491
attrib2 is missing : -0.0014875318275709428
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 19
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 8.735444999999999 : 0.019825512994653707
attrib1 > 8.735444999999999 : -0.22557671798673398
attrib1 is missing : -0.0033258114341194393
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 20
Class 1 (class=groupA)
Decision Stump
Classifications
attrib1 <= 4.4939295 : -0.068592733125604
attrib1 > 4.4939295 : 0.06336036430243311
attrib1 is missing : -0.0032386588928091853
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Number of performed iterations: 20