EVERYTHING: all features: ['Sex', 'Pclass', 'Fare', 'Age', 'SibSp', 'SibSp>0', 'Parch>0', 'Embarked=C', 'Embarked=None', 'Embarked=Q', 'Embarked=S', 'CabinType=A', 'CabinType=B', 'CabinType=C', 'CabinType=D', 'CabinType=E', 'CabinType=F', 'CabinType=G', 'CabinType=None', 'CabinType=T', 'Sex * Pclass', 'Sex * Fare', 'Sex * Age', 'Sex * SibSp', 'Sex * SibSp>0', 'Sex * Parch>0', 'Sex * Embarked=C', 'Sex * Embarked=None', 'Sex * Embarked=Q', 'Sex * Embarked=S', 'Sex * CabinType=A', 'Sex * CabinType=B', 'Sex * CabinType=C', 'Sex * CabinType=D', 'Sex * CabinType=E', 'Sex * CabinType=F', 'Sex * CabinType=G', 'Sex * CabinType=None', 'Sex * CabinType=T', 'Pclass * Fare', 'Pclass * Age', 'Pclass * SibSp', 'Pclass * SibSp>0', 'Pclass * Parch>0', 'Pclass * Embarked=C', 'Pclass * Embarked=None', 'Pclass * Embarked=Q', 'Pclass * Embarked=S', 'Pclass * CabinType=A', 'Pclass * CabinType=B', 'Pclass * CabinType=C', 'Pclass * CabinType=D', 'Pclass * CabinType=E', 'Pclass * CabinType=F', 'Pclass * CabinType=G', 'Pclass * CabinType=None', 'Pclass * CabinType=T', 'Fare * Age', 'Fare * SibSp', 'Fare * SibSp>0', 'Fare * Parch>0', 'Fare * Embarked=C', 'Fare * Embarked=None', 'Fare * Embarked=Q', 'Fare * Embarked=S', 'Fare * CabinType=A', 'Fare * CabinType=B', 'Fare * CabinType=C', 'Fare * CabinType=D', 'Fare * CabinType=E', 'Fare * CabinType=F', 'Fare * CabinType=G', 'Fare * CabinType=None', 'Fare * CabinType=T', 'Age * SibSp', 'Age * SibSp>0', 'Age * Parch>0', 'Age * Embarked=C', 'Age * Embarked=None', 'Age * Embarked=Q', 'Age * Embarked=S', 'Age * CabinType=A', 'Age * CabinType=B', 'Age * CabinType=C', 'Age * CabinType=D', 'Age * CabinType=E', 'Age * CabinType=F', 'Age * CabinType=G', 'Age * CabinType=None', 'Age * CabinType=T', 'SibSp * Parch>0', 'SibSp * Embarked=C', 'SibSp * Embarked=None', 'SibSp * Embarked=Q', 'SibSp * Embarked=S', 'SibSp * CabinType=A', 'SibSp * CabinType=B', 'SibSp * CabinType=C', 'SibSp * CabinType=D', 'SibSp * CabinType=E', 'SibSp * CabinType=F', 'SibSp * CabinType=G', 'SibSp * CabinType=None', 'SibSp * CabinType=T', 'SibSp>0 * Parch>0', 'SibSp>0 * Embarked=C', 'SibSp>0 * Embarked=None', 'SibSp>0 * Embarked=Q', 'SibSp>0 * Embarked=S', 'SibSp>0 * CabinType=A', 'SibSp>0 * CabinType=B', 'SibSp>0 * CabinType=C', 'SibSp>0 * CabinType=D', 'SibSp>0 * CabinType=E', 'SibSp>0 * CabinType=F', 'SibSp>0 * CabinType=G', 'SibSp>0 * CabinType=None', 'SibSp>0 * CabinType=T', 'Parch>0 * Embarked=C', 'Parch>0 * Embarked=None', 'Parch>0 * Embarked=Q', 'Parch>0 * Embarked=S', 'Parch>0 * CabinType=A', 'Parch>0 * CabinType=B', 'Parch>0 * CabinType=C', 'Parch>0 * CabinType=D', 'Parch>0 * CabinType=E', 'Parch>0 * CabinType=F', 'Parch>0 * CabinType=G', 'Parch>0 * CabinType=None', 'Parch>0 * CabinType=T', 'Embarked=C * CabinType=A', 'Embarked=C * CabinType=B', 'Embarked=C * CabinType=C', 'Embarked=C * CabinType=D', 'Embarked=C * CabinType=E', 'Embarked=C * CabinType=F', 'Embarked=C * CabinType=G', 'Embarked=C * CabinType=None', 'Embarked=C * CabinType=T', 'Embarked=None * CabinType=A', 'Embarked=None * CabinType=B', 'Embarked=None * CabinType=C', 'Embarked=None * CabinType=D', 'Embarked=None * CabinType=E', 'Embarked=None * CabinType=F', 'Embarked=None * CabinType=G', 'Embarked=None * CabinType=None', 'Embarked=None * CabinType=T', 'Embarked=Q * CabinType=A', 'Embarked=Q * CabinType=B', 'Embarked=Q * CabinType=C', 'Embarked=Q * CabinType=D', 'Embarked=Q * CabinType=E', 'Embarked=Q * CabinType=F', 'Embarked=Q * CabinType=G', 'Embarked=Q * CabinType=None', 'Embarked=Q * CabinType=T', 'Embarked=S * CabinType=A', 'Embarked=S * CabinType=B', 'Embarked=S * CabinType=C', 'Embarked=S * CabinType=D', 'Embarked=S * CabinType=E', 'Embarked=S * CabinType=F', 'Embarked=S * CabinType=G', 'Embarked=S * CabinType=None', 'Embarked=S * CabinType=T'] training: 0.822 testing: 0.7877237851662404 removed indices: [] PRUNING: candidate for removal: Sex (index 0) training: 0.824 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7877237851662404 removed indices: [] candidate for removal: Pclass (index 1) training: 0.822 testing: 0.7877237851662404 removed baseline testing accuracy: 0.7877237851662404 removed indices: [1] candidate for removal: Fare (index 2) training: 0.828 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2] candidate for removal: Age (index 3) training: 0.824 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2] candidate for removal: SibSp (index 4) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2] candidate for removal: SibSp>0 (index 5) training: 0.82 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2] candidate for removal: Parch>0 (index 6) training: 0.824 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6] candidate for removal: Embarked=C (index 7) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6] candidate for removal: Embarked=None (index 8) training: 0.822 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8] candidate for removal: Embarked=Q (index 9) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8] candidate for removal: Embarked=S (index 10) training: 0.828 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8] candidate for removal: CabinType=A (index 11) training: 0.822 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11] candidate for removal: CabinType=B (index 12) training: 0.822 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12] candidate for removal: CabinType=C (index 13) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12] candidate for removal: CabinType=D (index 14) training: 0.822 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12] candidate for removal: CabinType=E (index 15) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12] candidate for removal: CabinType=F (index 16) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12] candidate for removal: CabinType=G (index 17) training: 0.824 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17] candidate for removal: CabinType=None (index 18) training: 0.826 testing: 0.782608695652174 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17] candidate for removal: CabinType=T (index 19) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17] candidate for removal: Sex * Pclass (index 20) training: 0.826 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20] candidate for removal: Sex * Fare (index 21) training: 0.818 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20] candidate for removal: Sex * Age (index 22) training: 0.81 testing: 0.7723785166240409 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20] candidate for removal: Sex * SibSp (index 23) training: 0.824 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23] candidate for removal: Sex * SibSp>0 (index 24) training: 0.824 testing: 0.7928388746803069 removed baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24] candidate for removal: Sex * Parch>0 (index 25) training: 0.826 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24] candidate for removal: Sex * Embarked=C (index 26) training: 0.826 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7928388746803069 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24] candidate for removal: Sex * Embarked=None (index 27) training: 0.822 testing: 0.7953964194373402 removed baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27] candidate for removal: Sex * Embarked=Q (index 28) training: 0.826 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27] candidate for removal: Sex * Embarked=S (index 29) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27] candidate for removal: Sex * CabinType=A (index 30) training: 0.826 testing: 0.7953964194373402 removed baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=B (index 31) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=C (index 32) training: 0.826 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=D (index 33) training: 0.828 testing: 0.782608695652174 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=E (index 34) training: 0.824 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=F (index 35) training: 0.826 testing: 0.782608695652174 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=G (index 36) training: 0.822 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=None (index 37) training: 0.824 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Sex * CabinType=T (index 38) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Pclass * Fare (index 39) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Pclass * Age (index 40) training: 0.824 testing: 0.7928388746803069 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Pclass * SibSp (index 41) training: 0.822 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Pclass * SibSp>0 (index 42) training: 0.82 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30] candidate for removal: Pclass * Parch>0 (index 43) training: 0.824 testing: 0.7953964194373402 removed baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * Embarked=C (index 44) training: 0.822 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * Embarked=None (index 45) training: 0.826 testing: 0.7928388746803069 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * Embarked=Q (index 46) training: 0.824 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * Embarked=S (index 47) training: 0.826 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=A (index 48) training: 0.82 testing: 0.7851662404092071 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=B (index 49) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=B (index 49) training: 0.826 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=C (index 50) training: 0.824 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=D (index 51) training: 0.826 testing: 0.7877237851662404 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43] candidate for removal: Pclass * CabinType=E (index 52) training: 0.822 testing: 0.7953964194373402 removed baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52] candidate for removal: Pclass * CabinType=F (index 53) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52] candidate for removal: Pclass * CabinType=G (index 54) training: 0.824 testing: 0.7902813299232737 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52] candidate for removal: Pclass * CabinType=None (index 55) training: 0.824 testing: 0.7928388746803069 kept baseline testing accuracy: 0.7953964194373402 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52] candidate for removal: Pclass * CabinType=T (index 56) training: 0.824 testing: 0.7979539641943734 removed baseline testing accuracy: 0.7979539641943734 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56] candidate for removal: Fare * Age (index 57) training: 0.832 testing: 0.7979539641943734 removed baseline testing accuracy: 0.7979539641943734 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57] candidate for removal: Fare * SibSp (index 58) training: 0.834 testing: 0.80306905370844 removed baseline testing accuracy: 0.80306905370844 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58] candidate for removal: Fare * SibSp>0 (index 59) training: 0.836 testing: 0.8005115089514067 kept baseline testing accuracy: 0.80306905370844 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58] candidate for removal: Fare * Parch>0 (index 60) training: 0.842 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60] candidate for removal: Fare * Embarked=C (index 61) training: 0.842 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60] candidate for removal: Fare * Embarked=None (index 62) training: 0.846 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * Embarked=Q (index 63) training: 0.838 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * Embarked=S (index 64) training: 0.846 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=A (index 65) training: 0.842 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=B (index 66) training: 0.842 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=C (index 67) training: 0.844 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=D (index 68) training: 0.84 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=E (index 69) training: 0.836 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=F (index 70) training: 0.842 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62] candidate for removal: Fare * CabinType=G (index 71) training: 0.838 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71] candidate for removal: Fare * CabinType=None (index 72) training: 0.84 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71] candidate for removal: Fare * CabinType=T (index 73) training: 0.838 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73] candidate for removal: Age * SibSp (index 74) training: 0.842 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73] candidate for removal: Age * SibSp>0 (index 75) training: 0.838 testing: 0.80306905370844 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73] candidate for removal: Age * Parch>0 (index 76) training: 0.838 testing: 0.7928388746803069 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73] candidate for removal: Age * Embarked=C (index 77) training: 0.844 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77] candidate for removal: Age * Embarked=None (index 78) training: 0.84 testing: 0.8081841432225064 removed baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78] candidate for removal: Age * Embarked=Q (index 79) training: 0.842 testing: 0.8056265984654731 kept baseline testing accuracy: 0.8081841432225064 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78] candidate for removal: Age * Embarked=S (index 80) training: 0.838 testing: 0.8158567774936062 removed baseline testing accuracy: 0.8158567774936062 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80] candidate for removal: Age * CabinType=A (index 81) training: 0.838 testing: 0.8184143222506394 removed baseline testing accuracy: 0.8184143222506394 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81] candidate for removal: Age * CabinType=B (index 82) training: 0.834 testing: 0.8209718670076727 removed baseline testing accuracy: 0.8209718670076727 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82] candidate for removal: Age * CabinType=C (index 83) training: 0.836 testing: 0.8132992327365729 kept baseline testing accuracy: 0.8209718670076727 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82] candidate for removal: Age * CabinType=D (index 84) training: 0.834 testing: 0.8209718670076727 removed baseline testing accuracy: 0.8209718670076727 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84] candidate for removal: Age * CabinType=E (index 85) training: 0.834 testing: 0.8235294117647058 removed baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85] candidate for removal: Age * CabinType=F (index 86) training: 0.838 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85] candidate for removal: Age * CabinType=G (index 87) training: 0.834 testing: 0.8235294117647058 removed baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87] candidate for removal: Age * CabinType=None (index 88) training: 0.834 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87] candidate for removal: Age * CabinType=T (index 89) training: 0.828 testing: 0.8158567774936062 kept baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87] candidate for removal: SibSp * Parch>0 (index 90) training: 0.836 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8235294117647058 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87] candidate for removal: SibSp * Embarked=C (index 91) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91] candidate for removal: SibSp * Embarked=None (index 92) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92] candidate for removal: SibSp * Embarked=Q (index 93) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92] candidate for removal: SibSp * Embarked=S (index 94) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92] candidate for removal: SibSp * CabinType=A (index 95) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95] candidate for removal: SibSp * CabinType=B (index 96) training: 0.834 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95] candidate for removal: SibSp * CabinType=C (index 97) training: 0.832 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95] candidate for removal: SibSp * CabinType=D (index 98) training: 0.832 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95] candidate for removal: SibSp * CabinType=E (index 99) training: 0.834 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95] candidate for removal: SibSp * CabinType=F (index 100) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100] candidate for removal: SibSp * CabinType=G (index 101) training: 0.832 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100] candidate for removal: SibSp * CabinType=None (index 102) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100] candidate for removal: SibSp * CabinType=T (index 103) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103] candidate for removal: SibSp>0 * Parch>0 (index 104) training: 0.838 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103] candidate for removal: SibSp>0 * Embarked=C (index 105) training: 0.832 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103] candidate for removal: SibSp>0 * Embarked=None (index 106) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106] candidate for removal: SibSp>0 * Embarked=Q (index 107) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106] candidate for removal: SibSp>0 * Embarked=S (index 108) training: 0.834 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106] candidate for removal: SibSp>0 * CabinType=A (index 109) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=B (index 110) training: 0.834 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=C (index 111) training: 0.832 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=D (index 112) training: 0.834 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=E (index 113) training: 0.836 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=F (index 114) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=G (index 115) training: 0.832 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=None (index 116) training: 0.834 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109] candidate for removal: SibSp>0 * CabinType=T (index 117) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117] candidate for removal: Parch>0 * Embarked=C (index 118) training: 0.832 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117] candidate for removal: Parch>0 * Embarked=None (index 119) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * Embarked=Q (index 120) training: 0.832 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * Embarked=S (index 121) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=A (index 122) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=B (index 123) training: 0.834 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=C (index 124) training: 0.838 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=D (index 125) training: 0.834 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=E (index 126) training: 0.832 testing: 0.8158567774936062 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=F (index 127) training: 0.838 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=G (index 128) training: 0.834 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=None (index 129) training: 0.836 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119] candidate for removal: Parch>0 * CabinType=T (index 130) training: 0.832 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=A (index 131) training: 0.832 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=B (index 132) training: 0.832 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=C (index 133) training: 0.834 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=D (index 134) training: 0.836 testing: 0.8132992327365729 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=E (index 135) training: 0.842 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130] candidate for removal: Embarked=C * CabinType=F (index 136) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136] candidate for removal: Embarked=C * CabinType=G (index 137) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137] candidate for removal: Embarked=C * CabinType=None (index 138) training: 0.836 testing: 0.8260869565217391 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137] candidate for removal: Embarked=C * CabinType=T (index 139) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139] candidate for removal: Embarked=None * CabinType=A (index 140) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140] candidate for removal: Embarked=None * CabinType=B (index 141) training: 0.838 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140] candidate for removal: Embarked=None * CabinType=C (index 142) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142] candidate for removal: Embarked=None * CabinType=D (index 143) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143] candidate for removal: Embarked=None * CabinType=E (index 144) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144] candidate for removal: Embarked=None * CabinType=F (index 145) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145] candidate for removal: Embarked=None * CabinType=G (index 146) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146] candidate for removal: Embarked=None * CabinType=None (index 147) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147] candidate for removal: Embarked=None * CabinType=T (index 148) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148] candidate for removal: Embarked=Q * CabinType=A (index 149) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149] candidate for removal: Embarked=Q * CabinType=B (index 150) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150] candidate for removal: Embarked=Q * CabinType=C (index 151) training: 0.832 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150] candidate for removal: Embarked=Q * CabinType=D (index 152) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152] candidate for removal: Embarked=Q * CabinType=E (index 153) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152] candidate for removal: Embarked=Q * CabinType=F (index 154) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154] candidate for removal: Embarked=Q * CabinType=G (index 155) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155] candidate for removal: Embarked=Q * CabinType=None (index 156) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155] candidate for removal: Embarked=Q * CabinType=T (index 157) training: 0.834 testing: 0.8286445012787724 removed baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=A (index 158) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=B (index 159) training: 0.834 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=C (index 160) training: 0.83 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=D (index 161) training: 0.838 testing: 0.8209718670076727 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=E (index 162) training: 0.834 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=F (index 163) training: 0.832 testing: 0.8132992327365729 kept baseline testing accuracy: 0.8286445012787724 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157] candidate for removal: Embarked=S * CabinType=G (index 164) training: 0.83 testing: 0.8312020460358056 removed baseline testing accuracy: 0.8312020460358056 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157, 164] candidate for removal: Embarked=S * CabinType=None (index 165) training: 0.832 testing: 0.8235294117647058 kept baseline testing accuracy: 0.8312020460358056 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157, 164] candidate for removal: Embarked=S * CabinType=T (index 166) training: 0.834 testing: 0.8184143222506394 kept baseline testing accuracy: 0.8312020460358056 removed indices: [1, 2, 6, 8, 11, 12, 17, 20, 23, 24, 27, 30, 43, 52, 56, 57, 58, 60, 62, 71, 73, 77, 78, 80, 81, 82, 84, 85, 87, 91, 92, 95, 100, 103, 106, 109, 117, 119, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 154, 155, 157, 164]