LogitBoost: Base classifiers and their weights:
Iteration 1
Class 1 (defects=false)
Decision Stump
Classifications
loc <= 40.5 : 1.503611971104231
loc > 40.5 : 0.5394190871369294
loc is missing : 1.2260909508497932
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 2
Class 1 (defects=false)
Decision Stump
Classifications
loc <= 93.5 : 0.3382750952846316
loc > 93.5 : -0.5537512089212122
loc is missing : 0.22878442699693213
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 3
Class 1 (defects=false)
Decision Stump
Classifications
loc <= 11.5 : 0.4851477172264241
loc > 11.5 : -0.05765420331279295
loc is missing : 0.0538279285463141
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 4
Class 1 (defects=false)
Decision Stump
Classifications
branchCount <= 134.0 : 0.031712773261773144
branchCount > 134.0 : -1.2645106543335614
branchCount is missing : -2.2707007503621317
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 5
Class 1 (defects=false)
Decision Stump
Classifications
loc <= 5.5 : 0.4451632846846303
loc > 5.5 : -0.029059711999931355
loc is missing : 0.002556329217538281
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 6
Class 1 (defects=false)
Decision Stump
Classifications
d <= 38.07 : -0.034294728242800325
d > 38.07 : 0.33710863009764186
d is missing : 0.0051007010456050475
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 7
Class 1 (defects=false)
Decision Stump
Classifications
locCodeAndComment <= 1.5 : 0.028297522053913313
locCodeAndComment > 1.5 : -0.3137765269457322
locCodeAndComment is missing : -0.0021657743692319216
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 8
Class 1 (defects=false)
Decision Stump
Classifications
lOCode <= 33.5 : -0.055460267170107304
lOCode > 33.5 : 0.13489385496629436
lOCode is missing : 0.002598901782871911
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 9
Class 1 (defects=false)
Decision Stump
Classifications
lOBlank <= 1.5 : 0.1543599790198137
lOBlank > 1.5 : -0.08488126850742518
lOBlank is missing : -0.0037268154024027024
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Iteration 10
Class 1 (defects=false)
Decision Stump
Classifications
total_Op <= 10.5 : -0.20137680564566696
total_Op > 10.5 : 0.058950392393950134
total_Op is missing : 0.2083175047232512
Two-class case: second classifier predicts additive inverse of first classifier and is not explicitly computed.
Number of performed iterations: 10