Script started on Thu Sep 4 09:20:51 2003 vspace> setenv CLASSPATH '/u/mooney/cs391L/' vspace> java weka.classifiers.vspace.ActiveConjunctiveVersionSpace /u/mooney/cs391L-code/weka/data/figure-all-red.arff 2 -S VS -P Trial #1 Reordering instances using method: R Initializing VersionSpace S = [[#,#,#]] G = [[?,?,?]] Picking Instance #1 based on splitting the entire version space Enumerated Version Space (65): [[?,?,?], [#,#,#], [small,?,?], [small,blue,?], [small,blue,circle], [small,blue,square], [small,blue,triangle], [small,red,?], [small,red,circle], [small,red,square], [small,red,triangle], [small,green,?], [small,green,circle], [small,green,square], [small,green,triangle], [small,?,circle], [small,?,square], [small,?,triangle], [medium,?,?], [medium,blue,?], [medium,blue,circle], [medium,blue,square], [medium,blue,triangle], [medium,red,?], [medium,red,circle], [medium,red,square], [medium,red,triangle], [medium,green,?], [medium,green,circle], [medium,green,square], [medium,green,triangle], [medium,?,circle], [medium,?,square], [medium,?,triangle], [big,?,?], [big,blue,?], [big,blue,circle], [big,blue,square], [big,blue,triangle], [big,red,?], [big,red,circle], [big,red,square], [big,red,triangle], [big,green,?], [big,green,circle], [big,green,square], [big,green,triangle], [big,?,circle], [big,?,square], [big,?,triangle], [?,blue,?], [?,blue,circle], [?,blue,square], [?,blue,triangle], [?,red,?], [?,red,circle], [?,red,square], [?,red,triangle], [?,green,?], [?,green,circle], [?,green,square], [?,green,triangle], [?,?,circle], [?,?,square], [?,?,triangle]] Best Score: 0.3769230769230769 Instance: small,red,circle,positive S = [[small,red,circle]] G = [[?,?,?]] Picking Instance #2 based on splitting the entire version space Enumerated Version Space (8): [[?,?,?], [small,red,circle], [small,?,?], [small,red,?], [small,?,circle], [?,red,?], [?,red,circle], [?,?,circle]] Best Score: 0.0 Instance: small,red,triangle,positive S = [[small,red,?]] G = [[?,?,?]] Picking Instance #3 based on splitting the entire version space Enumerated Version Space (4): [[?,?,?], [small,red,?], [small,?,?], [?,red,?]] Best Score: 0.0 Instance: big,red,circle,positive S = [[?,red,?]] G = [[?,?,?]] Picking Instance #4 based on splitting the entire version space Enumerated Version Space (2): [[?,?,?], [?,red,?]] Best Score: 0.0 Instance: small,blue,circle,negative S = [[?,red,?]] G = [[?,red,?]] Version Space converged to a single hypothesis. Num Train: 4 Trial #2 Reordering instances using method: R Initializing VersionSpace S = [[#,#,#]] G = [[?,?,?]] Picking Instance #1 based on splitting the entire version space Enumerated Version Space (65): [[?,?,?], [#,#,#], [small,?,?], [small,blue,?], [small,blue,circle], [small,blue,square], [small,blue,triangle], [small,red,?], [small,red,circle], [small,red,square], [small,red,triangle], [small,green,?], [small,green,circle], [small,green,square], [small,green,triangle], [small,?,circle], [small,?,square], [small,?,triangle], [medium,?,?], [medium,blue,?], [medium,blue,circle], [medium,blue,square], [medium,blue,triangle], [medium,red,?], [medium,red,circle], [medium,red,square], [medium,red,triangle], [medium,green,?], [medium,green,circle], [medium,green,square], [medium,green,triangle], [medium,?,circle], [medium,?,square], [medium,?,triangle], [big,?,?], [big,blue,?], [big,blue,circle], [big,blue,square], [big,blue,triangle], [big,red,?], [big,red,circle], [big,red,square], [big,red,triangle], [big,green,?], [big,green,circle], [big,green,square], [big,green,triangle], [big,?,circle], [big,?,square], [big,?,triangle], [?,blue,?], [?,blue,circle], [?,blue,square], [?,blue,triangle], [?,red,?], [?,red,circle], [?,red,square], [?,red,triangle], [?,green,?], [?,green,circle], [?,green,square], [?,green,triangle], [?,?,circle], [?,?,square], [?,?,triangle]] Best Score: 0.3769230769230769 Instance: medium,red,circle,positive S = [[medium,red,circle]] G = [[?,?,?]] Picking Instance #2 based on splitting the entire version space Enumerated Version Space (8): [[?,?,?], [medium,red,circle], [medium,?,?], [medium,red,?], [medium,?,circle], [?,red,?], [?,red,circle], [?,?,circle]] Best Score: 0.0 Instance: small,red,circle,positive S = [[?,red,circle]] G = [[?,?,?]] Picking Instance #3 based on splitting the entire version space Enumerated Version Space (4): [[?,?,?], [?,red,circle], [?,red,?], [?,?,circle]] Best Score: 0.0 Instance: small,red,square,positive S = [[?,red,?]] G = [[?,?,?]] Picking Instance #4 based on splitting the entire version space Enumerated Version Space (2): [[?,?,?], [?,red,?]] Best Score: 0.0 Instance: medium,blue,triangle,negative S = [[?,red,?]] G = [[?,red,?]] Version Space converged to a single hypothesis. Num Train: 4 Avg Num Train: 4.0 vspace> java weka.classifiers.vspace.ActiveConjunctiveVersionSpace /u/mooney/cs391L-code/weka/data/figure-all-red.arff 2 -S R -P Trial #1 Reordering instances using method: R Initializing VersionSpace S = [[#,#,#]] G = [[?,?,?]] Picking Instance #1 at random Instance: big,green,square,negative S = [[#,#,#]] G = [[small,?,?], [medium,?,?], [?,blue,?], [?,red,?], [?,?,circle], [?,?,triangle]] Picking Instance #2 at random Instance: small,green,square,negative S = [[#,#,#]] G = [[medium,?,?], [?,blue,?], [?,red,?], [?,?,circle], [?,?,triangle]] Picking Instance #3 at random Instance: small,red,triangle,positive S = [[small,red,triangle]] G = [[?,red,?], [?,?,triangle]] Picking Instance #4 at random Instance: big,blue,circle,negative S = [[small,red,triangle]] G = [[?,red,?], [?,?,triangle]] Picking Instance #5 at random Instance: medium,red,square,positive S = [[?,red,?]] G = [[?,red,?]] Version Space converged to a single hypothesis. Num Train: 5 Trial #2 Reordering instances using method: R Initializing VersionSpace S = [[#,#,#]] G = [[?,?,?]] Picking Instance #1 at random Instance: big,blue,triangle,negative S = [[#,#,#]] G = [[small,?,?], [medium,?,?], [?,red,?], [?,green,?], [?,?,circle], [?,?,square]] Picking Instance #2 at random Instance: big,blue,square,negative S = [[#,#,#]] G = [[small,?,?], [medium,?,?], [?,red,?], [?,green,?], [?,?,circle]] Picking Instance #3 at random Instance: medium,green,square,negative S = [[#,#,#]] G = [[small,?,?], [?,red,?], [?,?,circle], [medium,blue,?], [medium,?,triangle], [big,green,?], [?,green,triangle]] Picking Instance #4 at random Instance: medium,green,circle,negative S = [[#,#,#]] G = [[small,?,?], [?,red,?], [medium,blue,?], [medium,?,triangle], [big,green,?], [?,green,triangle], [big,?,circle], [?,blue,circle]] Picking Instance #5 at random Instance: big,red,circle,positive S = [[big,red,circle]] G = [[?,red,?], [big,?,circle]] Picking Instance #6 at random Instance: medium,red,circle,positive S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #7 at random Instance: small,blue,circle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #8 at random Instance: big,green,triangle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #9 at random Instance: medium,green,triangle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #10 at random Instance: medium,blue,square,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #11 at random Instance: medium,blue,triangle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #12 at random Instance: big,blue,circle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #13 at random Instance: small,red,circle,positive S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #14 at random Instance: big,green,circle,negative S = [[?,red,circle]] G = [[?,red,?]] Picking Instance #15 at random Instance: small,red,triangle,positive S = [[?,red,?]] G = [[?,red,?]] Version Space converged to a single hypothesis. Num Train: 15 Avg Num Train: 10.0 vspace> ^Dexit Script done on Thu Sep 4 09:21:50 2003