;; Load System here

Command: (in-package 'ac)
#<Package AC 60400002>
Command: (autoclass-input-check
  :data-file "cha:>p>autoclass>sample>imports-85"
  :header-file "imports-85" :model-file "imports-85")

#################  Starting Input Check  ################### 
############################################################ 


To log file: 
   CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG 
During Loading of: 
   [1] CHA:>p>autoclass>sample>imports-85.db2.1, 
   [2] CHA:>p>autoclass>sample>imports-85.hd2.1, and 
   [3] CHA:>p>autoclass>sample>imports-85.model.1. 

   [Attribute #, value # and datum # are zero based.] 


Loading CHA:>p>autoclass>sample>imports-85.hd2.1 into package AC

ADVISORY[2]: No translations were provided for these type = DISCRETE attributes:
                #0: "symboling" 
                #2: "make" 
                #3: "fuel-type" 
                #4: "aspiration" 
                #5: "num-of-doors" 
                #6: "body-style" 
                #7: "drive-wheels" 
                #8: "engine-location" 
                #14: "engine-type" 
                #15: "num-of-cylinders" 
                #17: "fuel-system" 

ADVISORY[3]: The DEFAULT model term type, SINGLE-MULTINOMIAL, will be used for these attributes: 
                #2: "make" 
                #3: "fuel-type" 
                #4: "aspiration" 
                #5: "num-of-doors" 
                #6: "body-style" 
                #7: "drive-wheels" 
                #8: "engine-location" 
                #14: "engine-type" 
                #15: "num-of-cylinders" 
                #17: "fuel-system" 


################  Input Check Concluded  ################### 
############################################################ 

#<ART-Q-1 54255713>
#<ART-Q-1 54255715>
Command: (multiple-value-setq (search classifications)
  (autoclass-search :data-file "cha:>p>autoclass>sample>imports-85"
                    :header-file "imports-85" :model-file "imports-85"))

#################  Starting Input Check  ################### 
############################################################ 


To log file: 
   CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG 
During Loading of: 
   [1] CHA:>p>autoclass>sample>imports-85.db2.1, 
   [2] CHA:>p>autoclass>sample>imports-85.hd2.1, and 
   [3] CHA:>p>autoclass>sample>imports-85.model.1. 

   [Attribute #, value # and datum # are zero based.] 




Skipping a reread of CHA:>p>autoclass>sample>imports-85.db2.1

################  Input Check Concluded  ################### 
############################################################ 



WELCOME TO AUTOCLASS. 
1) Each time I have finished a new 'trial', or attempt to find a good classification,
   I will print the number of classes that trial started and ended with, such as 9->7 
2) If that trial results in a duplicate of a previous run, I will print 'dup' first. 
3) If that trial results in a classification better than any previous, I will print 'best' first. 
4) If more than 30 seconds  has passed since the last report, and a new 
   classification has been found which is better than any previous ones, I 
   will report on that classification and on the status of the search so far. 
5) This report will include an estimate of the time it will take to find another 
   even better classification, and how much better that will be.  In addition 
   I will estimate a lower bound on how long it might take to find the very best 
   classification and how much better that might be. 
6) If you are warned about too much time in overhead, you may want to change the arguments 
   n-save, min-save-period, min-report-period, log-file-p, search-file-p, results-file-p 
7) To quit the search, type a 'q'. 
8) The autoclass-search function will return two values: a structure describing 
   the search so far, and a vector of the best 2 classifications.
9) If needed, every 30 minutes  I will save the best 2 classifications so far to 
   CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP
   and a description of the search to CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.SEARCH
10) A record of this search will be printed to CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG

BEGINNING SEARCH at Thr 26 Apr 1990 14:06:33.

 best1->1 best2->2 3->3

--------------- NEW BEST CLASSIFICATION FOUND on try 2 -----------------------
It has 2 CLASSES with WEIGHTS 108 97  
PROBABILITY of both the data and the classification = exp(-17097.9)
(Also found 1 other better than last report.)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:07:33 -------------------------------
It just took 57 seconds  to find a classification exp(infinity) times more probable. 
Estimate < 42 seconds  to find a classification exp(226.4) times more probable. 
Estimate >> 57 seconds  to find the very best classification, which may be 
   exp(92.3) to exp(17097.9) times more probable. 
Have seen 3 of the estimated > 6 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -17413.7, S(igma) 421.3
Choosing initial n-classes off of list (5 7 10 15 25)

 best5->5

--------------- NEW BEST CLASSIFICATION FOUND on try 4 -----------------------
It has 5 CLASSES with WEIGHTS 74 51 33 25 22  
PROBABILITY of both the data and the classification = exp(-16649.6)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:08:58 -------------------------------
It just took 1 minute 29 seconds to find a classification exp(448.3) times more probable. 
Estimate < 1 minute 55 seconds to find a classification exp(245.1) times more probable. 
Estimate >> 3 minutes 36 seconds to find the very best classification, which may be 
   exp(86.3) = 2.92e+37 to exp(16649.6) times more probable. 
Have seen 4 of the estimated > 10 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -17222.7, S(igma) 514.1
Choosing initial n-classes off of list (7 10 15 25)

 7->7 10->10 15->15 best25->19

--------------- NEW BEST CLASSIFICATION FOUND on try 8 -----------------------
It has 19 CLASSES with WEIGHTS 24 18 17 16 15 14 14 13 11 11 8 8 7 6 6 5 4 4 4  
PROBABILITY of both the data and the classification = exp(-16639.9)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:16:02 -------------------------------
It just took 7 minutes 8 seconds to find a classification exp(9.7) = 1.63e+4 times more probable. 
Estimate < 8 minutes 24 seconds to find a classification exp(29.5) = 6.30e+12 times more probable. 
Estimate >> 33 minutes 4 seconds to find the very best classification, which may be 
   exp(63.6) = 4.07e+27 to exp(2863.2) times more probable. 
Have seen 8 of the estimated > 36 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -16723.3, S(igma) 76.8
Choosing initial n-classes randomly from a log-normal [M-S,M,M+S]=[1.9,5.5,15.9]

 24->24 5->5 2->2 best6->6

--------------- NEW BEST CLASSIFICATION FOUND on try 12 -----------------------
It has 6 CLASSES with WEIGHTS 69 50 32 24 16 14  
PROBABILITY of both the data and the classification = exp(-16620.1)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:21:15 -------------------------------
It just took 5 minutes 16 seconds to find a classification exp(19.8) = 3.91e+8 times more probable. 
Estimate < 13 minutes 32 seconds to find a classification exp(78.0) = 7.18e+33 times more probable. 
Estimate >> 1 hour 20 minutes to find the very best classification, which may be 
   exp(250.9) to exp(16620.1) times more probable. 
Have seen 12 of the estimated > 78 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -16867.4, S(igma) 223.0
Choosing initial n-classes randomly from a log-normal [M-S,M,M+S]=[2.9,7.2,17.7]

 13->11

ENDING SEARCH because you asked me to at Thr 26 Apr 1990 14:22:34 after a total of 13 tries over 16 minutes 
A log of this search is in #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG"
Results stored in file #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP"
This search can be restarted using 
(AUTOCLASS-SEARCH :OUTPUT-FILES-DEFAULT #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85")

--------------- SUMMARY OF 10 BEST RESULTS --------------------------
PROBABILTY:  exp(-16620.1) N-CLASSES:   6  FOUND ON TRY:   12  *SAVED*
PROBABILTY:  exp(-16639.9) N-CLASSES:  19  FOUND ON TRY:    8  *SAVED*
PROBABILTY:  exp(-16649.6) N-CLASSES:   5  FOUND ON TRY:    4  
PROBABILTY:  exp(-16653.6) N-CLASSES:   7  FOUND ON TRY:    5  
PROBABILTY:  exp(-16770.2) N-CLASSES:  11  FOUND ON TRY:   13  
PROBABILTY:  exp(-16773.8) N-CLASSES:  15  FOUND ON TRY:    7  
PROBABILTY:  exp(-16780.2) N-CLASSES:  24  FOUND ON TRY:    9  
PROBABILTY:  exp(-16895.2) N-CLASSES:  10  FOUND ON TRY:    6  
PROBABILTY:  exp(-17086.4) N-CLASSES:   2  FOUND ON TRY:   11  
PROBABILTY:  exp(-17097.9) N-CLASSES:   2  FOUND ON TRY:    2  

#S(SEARCH :N 13
          :TIME 990
          :N-DUPS 0
          :N-DUP-TRIES 91
          :LAST-TRY-REPORTED-VECTOR #<ART-Q-1 410651530>
          :TRIES #<ART-Q-13 15000452>)
Command: Show Directory (files [default CHA:>p>autoclass>sample>*.*.newest]) CHA:>p>autoclass>sample>*.*.newest

CHA:>p>autoclass>sample>*.*.newest
  32670 free, 161060/193730 used (83%, 2 partitions) (LMFS records, 1 = 4544. 8-bit bytes)
  
      imports-85.db2.1    6  25936(8)  !   03/19/90 15:33:08 (04/26/90)   Hanson
      imports-85.hd2.1    1   1584(8)  !   04/03/90 12:41:04 (04/26/90)   Hanson
      imports-85.model.1    1    221(8) !   03/28/90 18:34:17 (04/26/90)  taylor
      imports-85.names.1    2   4648(8) !   10/31/89 19:05:40 (04/26/90)  540
      IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP.1   18  39008(16) !   04/26/90 14:23:03 (04/26/90) Hanson
      IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG.3    2   7870(8) !   04/26/90 14:22:40 (04/26/90) Hanson
      IMPORTS-85&IMPORTS-85&IMPORTS-85.SEARCH.1    1    292(16) !   04/26/90 14:23:07 (04/26/90) Hanson
      read.me.3        1   1025(8)     !   04/26/90 12:19:57 (04/26/90)   Hanson
      script.lisp.7    1   2700(8)     !   04/26/90 12:42:39 (04/26/90)   Hanson

33 blocks in 9 files

Command: (autoclass-search :search search)

WELCOME TO AUTOCLASS. 
1) Each time I have finished a new 'trial', or attempt to find a good classification,
   I will print the number of classes that trial started and ended with, such as 9->7 
2) If that trial results in a duplicate of a previous run, I will print 'dup' first. 
3) If that trial results in a classification better than any previous, I will print 'best' first. 
4) If more than 30 seconds  has passed since the last report, and a new 
   classification has been found which is better than any previous ones, I 
   will report on that classification and on the status of the search so far. 
5) This report will include an estimate of the time it will take to find another 
   even better classification, and how much better that will be.  In addition 
   I will estimate a lower bound on how long it might take to find the very best 
   classification and how much better that might be. 
6) If you are warned about too much time in overhead, you may want to change the arguments 
   n-save, min-save-period, min-report-period, log-file-p, search-file-p, results-file-p 
7) To quit the search, type a 'q'. 
8) The autoclass-search function will return two values: a structure describing 
   the search so far, and a vector of the best 2 classifications.
9) If needed, every 30 minutes  I will save the best 2 classifications so far to 
   CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP
   and a description of the search to CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.SEARCH
10) A record of this search will be printed to CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG

RESTARTING SEARCH at Thr 26 Apr 1990 14:24:01.

 3->3 7->6 6->5 14->14 14->14 11->10 best14->12

--------------- NEW BEST CLASSIFICATION FOUND on try 20 -----------------------
It has 12 CLASSES with WEIGHTS 44 30 26 20 14 14 13 12 11 9 6 6  
PROBABILITY of both the data and the classification = exp(-16501.4)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:34:02 -------------------------------
It just took 9 minutes 59 seconds to find a classification exp(118.6) times more probable. 
Estimate < 25 minutes 13 seconds to find a classification exp(74.7) = 2.76e+32 times more probable. 
Estimate >> 4 hours 11 minutes to find the very best classification, which may be 
   exp(240.8) to exp(16501.4) times more probable. 
Have seen 20 of the estimated > 210 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -16875.0, S(igma) 236.7
Choosing initial n-classes randomly from a log-normal [M-S,M,M+S]=[5.7,9.6,16.1]

 5->5 best12->11

--------------- NEW BEST CLASSIFICATION FOUND on try 22 -----------------------
It has 11 CLASSES with WEIGHTS 44 42 36 19 15 11 10 10 10 4 4  
PROBABILITY of both the data and the classification = exp(-16462.3)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:36:36 -------------------------------
It just took 2 minutes 35 seconds to find a classification exp(39.1) = 9.97e+16 times more probable. 
Estimate < 27 minutes 46 seconds to find a classification exp(65.3) = 2.34e+28 times more probable. 
Estimate >> 5 hours 4 minutes to find the very best classification, which may be 
   exp(208.6) to exp(16462.3) times more probable. 
Have seen 22 of the estimated > 253 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -16814.9, S(igma) 210.8
Choosing initial n-classes randomly from a log-normal [M-S,M,M+S]=[6.3,10.3,16.9]

 7->7 16->15 17->14 13->13 7->7 8->7 14->10 18->16

ENDING SEARCH because you asked me to at Thr 26 Apr 1990 14:52:31 after a total of 30 tries over 44 minutes 59 s
econds
This invocation of autoclass-search took 28 minutes 29 seconds
A log of this search is in #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.LOG"
Results stored in file #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP"
This search can be restarted using 
(AUTOCLASS-SEARCH :OUTPUT-FILES-DEFAULT #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85")

--------------- SUMMARY OF 10 BEST RESULTS --------------------------
PROBABILTY:  exp(-16462.3) N-CLASSES:  11  FOUND ON TRY:   22  *SAVED*
PROBABILTY:  exp(-16501.4) N-CLASSES:  12  FOUND ON TRY:   20  *SAVED*
PROBABILTY:  exp(-16579.4) N-CLASSES:  13  FOUND ON TRY:   26  
PROBABILTY:  exp(-16620.1) N-CLASSES:   6  FOUND ON TRY:   12  
PROBABILTY:  exp(-16639.9) N-CLASSES:  19  FOUND ON TRY:    8  
PROBABILTY:  exp(-16647.3) N-CLASSES:  10  FOUND ON TRY:   19  
PROBABILTY:  exp(-16649.6) N-CLASSES:   5  FOUND ON TRY:    4  
PROBABILTY:  exp(-16653.6) N-CLASSES:   7  FOUND ON TRY:    5  
PROBABILTY:  exp(-16678.8) N-CLASSES:  14  FOUND ON TRY:   17  
PROBABILTY:  exp(-16683.4) N-CLASSES:   6  FOUND ON TRY:   15  

#S(SEARCH :N 30
          :TIME 2724
          :N-DUPS 0
          :N-DUP-TRIES 465
          :LAST-TRY-REPORTED-VECTOR #<ART-Q-1 410651530>
          :TRIES #<ART-Q-30 71470007>)
#<ART-Q-2 71470050>
Command: (autoclass-search :clsf (elt classifications 0) :force-new-search-p t
  :results-file-p nil :search-file-p nil :log-file-p nil
  :try-fn (second *try-fn-list*) :max-duration 300)

WELCOME TO AUTOCLASS. 
1) Each time I have finished a new 'trial', or attempt to find a good classification,
   I will print the number of classes that trial started and ended with, such as 9->7 
2) If that trial results in a duplicate of a previous run, I will print 'dup' first. 
3) If that trial results in a classification better than any previous, I will print 'best' first. 
4) If more than 30 seconds  has passed since the last report, and a new 
   classification has been found which is better than any previous ones, I 
   will report on that classification and on the status of the search so far. 
5) This report will include an estimate of the time it will take to find another 
   even better classification, and how much better that will be.  In addition 
   I will estimate a lower bound on how long it might take to find the very best 
   classification and how much better that might be. 
6) If you are warned about too much time in overhead, you may want to change the arguments 
   n-save, min-save-period, min-report-period, log-file-p, search-file-p, results-file-p 
7) To quit the search, type a 'q'. 
8) The autoclass-search function will return two values: a structure describing 
   the search so far, and a vector of the best 2 classifications.

BEGINNING SEARCH at Thr 26 Apr 1990 14:54:07.

 best1->1 best2->2 3->3

--------------- NEW BEST CLASSIFICATION FOUND on try 2 -----------------------
It has 2 CLASSES with WEIGHTS 111 94  
PROBABILITY of both the data and the classification = exp(-17071.6)
(Also found 1 other better than last report.)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:56:42 -------------------------------
It just took 2 minutes 32 seconds to find a classification exp(infinity) times more probable. 
Estimate < 1 minute 54 seconds to find a classification exp(227.8) times more probable. 
Estimate >> 2 minutes 32 seconds to find the very best classification, which may be 
   exp(62.1) = 9.18e+26 to exp(17071.6) times more probable. 
Have seen 3 of the estimated > 6 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -17420.1, S(igma) 424.0
Choosing initial n-classes off of list (5 7 10 15 25)

 best5->4

--------------- NEW BEST CLASSIFICATION FOUND on try 4 -----------------------
It has 4 CLASSES with WEIGHTS 80 63 53 9  
PROBABILITY of both the data and the classification = exp(-16829.0)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:57:57 -------------------------------
It just took 1 minute 18 seconds to find a classification exp(242.5) times more probable. 
Estimate < 3 minutes 4 seconds to find a classification exp(217.0) times more probable. 
Estimate >> 5 minutes 45 seconds to find the very best classification, which may be 
   exp(140.4) to exp(16829.0) times more probable. 
Have seen 4 of the estimated > 10 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -17272.4, S(igma) 455.2
Choosing initial n-classes off of list (7 10 15 25)

 best7->6

--------------- NEW BEST CLASSIFICATION FOUND on try 5 -----------------------
It has 6 CLASSES with WEIGHTS 58 56 44 23 19 5  
PROBABILITY of both the data and the classification = exp(-16697.9)

--------------- SEARCH STATUS as of Thr 26 Apr 1990 14:59:30 -------------------------------
It just took 1 minute 31 seconds to find a classification exp(131.1) times more probable. 
Estimate < 4 minutes 27 seconds to find a classification exp(206.9) times more probable. 
Estimate >> 10 minutes 42 seconds to find the very best classification, which may be 
   exp(246.7) to exp(16697.9) times more probable. 
Have seen 5 of the estimated > 15 possible classifications (based on 0 duplicates so far)
Log-Normal fit to classifications probabilities has M(ean) -17157.5, S(igma) 470.5
Choosing initial n-classes off of list (10 15 25)



ENDING SEARCH because max duration has expired at Thr 26 Apr 1990 14:59:31 after a total of 5 tries over 5 minut
es 24 seconds

--------------- SUMMARY OF 10 BEST RESULTS --------------------------
PROBABILTY:  exp(-16697.9) N-CLASSES:   6  FOUND ON TRY:    5  *SAVED*
PROBABILTY:  exp(-16829.0) N-CLASSES:   4  FOUND ON TRY:    4  *SAVED*
PROBABILTY:  exp(-17071.6) N-CLASSES:   2  FOUND ON TRY:    2  
PROBABILTY:  exp(-17296.7) N-CLASSES:   3  FOUND ON TRY:    3  
PROBABILTY:  exp(-17892.1) N-CLASSES:   1  FOUND ON TRY:    1  

#S(SEARCH :N 5
          :TIME 325
          :N-DUPS 0
          :N-DUP-TRIES 15
          :LAST-TRY-REPORTED-VECTOR #<ART-Q-1 404225661>
          :TRIES #<ART-Q-5 54234334>)
#<ART-Q-2 54234344>

;; reboot here

Command: (in-package 'ac)
#<Package AC 60400002>
Command: (autoclass-search
  :output-files-default "cha:>p>autoclass>sample>imports-85&imports-85&imports-85")
Loading CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.DUMP.newest into package AC
Loading CHA:>p>autoclass>sample>imports-85.hd2.1 into package AC


WELCOME TO AUTOCLASS. 
1) Each time I have finished a new 'trial', or attempt to find a good classification,
   I will print the number of classes that trial started and ended with, such as 9->7 
2) If that trial results in a duplicate of a previous run, I will print 'dup' first. 
3) If that trial results in a classification better than any previous, I will print 'best' first. 
4) If more than 30 seconds  has passed since the last report, and a new 
   classification has been found which is better than any previous ones, I 
   will report on that classification and on the status of the search so far. 
5) This report will include an estimate of the time it will take to find another 
   even better classification, and how much better that will be.  In addition 
   I will estimate a lower bound on how long it might take to find the very best 
   classification and how much better that might be. 
6) If you are warned about too much time in overhead, you may want to change the arguments 
   n-save, min-save-period, min-report-period, log-file-p, search-file-p, results-file-p 
7) To quit the search, type a 'q'. 
8) The autoclass-search function will return two values: a structure describing 
   the search so far, and a vector of the best 2 classifications.
9) If needed, every 30 minutes  I will save the best 2 classifications so far to 
   CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.DUMP
   and a description of the search to CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.SEARCH
10) A record of this search will be printed to CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.LOG

RESTARTING SEARCH at Thr 26 Apr 1990 15:25:29.

 14->13 17->16

ENDING SEARCH because you asked me to at Thr 26 Apr 1990 15:30:17 after a total of 32 tries over 50 minutes 6 se
conds
This invocation of autoclass-search took 4 minutes 47 seconds
A log of this search is in #P"CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.LOG"
Results stored in file #P"CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.DUMP"
This search can be restarted using 
(AUTOCLASS-SEARCH :OUTPUT-FILES-DEFAULT #P"CHA:>p>autoclass>sample>imports-85&imports-85&imports-85")

--------------- SUMMARY OF 10 BEST RESULTS --------------------------
PROBABILTY:  exp(-16462.3) N-CLASSES:  11  FOUND ON TRY:   22  *SAVED*
PROBABILTY:  exp(-16501.4) N-CLASSES:  12  FOUND ON TRY:   20  *SAVED*
PROBABILTY:  exp(-16579.4) N-CLASSES:  13  FOUND ON TRY:   26  
PROBABILTY:  exp(-16583.6) N-CLASSES:  13  FOUND ON TRY:   31  
PROBABILTY:  exp(-16620.1) N-CLASSES:   6  FOUND ON TRY:   12  
PROBABILTY:  exp(-16639.9) N-CLASSES:  19  FOUND ON TRY:    8  
PROBABILTY:  exp(-16647.3) N-CLASSES:  10  FOUND ON TRY:   19  
PROBABILTY:  exp(-16649.6) N-CLASSES:   5  FOUND ON TRY:    4  
PROBABILTY:  exp(-16653.6) N-CLASSES:   7  FOUND ON TRY:    5  
PROBABILTY:  exp(-16678.8) N-CLASSES:  14  FOUND ON TRY:   17  

#S(SEARCH :N 32
          :TIME 3029
          :N-DUPS 0
          :N-DUP-TRIES 528
          :LAST-TRY-REPORTED-VECTOR #<ART-Q-1 344063742>
          :TRIES #<ART-Q-32 64264265>)
#<ART-Q-2 64264330>
Command: (AC:autoclass-reports-from-results-file
  	  "cha:>p>autoclass>sample>imports-85&imports-85&imports-85"     
  	  :xref-class-report-att-list '(2 5 6))
Loading CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP.3 into package AC

File written: CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.influ-text.1
File written: CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.case-text.1
File written: CHA:>p>autoclass>sample>imports-85&imports-85&imports-85.class-text.1
#S(CLASSIFICATION-$ :LOG-P<X/H.PI.THETA> -14756.725
                    :LOG-A<X/H> -16462.299
                    :DATABASE
                      #S(DATABASE-$ :DATA-FILE #P"CHA:>p>autoclass>sample>imports-85.db2.1"
                                    :HEADER-FILE #P"CHA:>p>autoclass>sample>imports-85.hd2.1"
                                    :INPUT-N-ATTS 26
                                    :ATT-INFO #<ART-Q-46 344003010>
                                    :DATA #<ART-Q-205 344000565>
                                    :MAP NIL
                                    :SEPARATOR-CHARS (#\,)
                                    :COMMENT-CHARS (#\;)
                                    :UNKNOWN-TOKENS (? NIL)
                                    :DATA-SYNTAX :LINE
                                    :TRANSLATIONS-SUPPLIED-P NIL
                                    :INCOMPLETE-DATUM NIL
                                    :INVALID-VALUE-ERRORS NIL)
                    :MODELS #<ART-Q-1 45725477>
                    :CLASSES #<ART-Q-11 344175755>
                    :ATT-I-SUMS #<ART-Q-41 45745343>
                    :ATT-MAX-I-SUM 24.085424
                    :ATT-MAX-I-VALUES #<ART-Q-41 45745415>
                    :MAX-I-VALUE 6.9196434
                    :MIN-CLASS-WT 2.0
                    :N-DUPLICATES 0
                    :CYCLE-COUNT 0
                    :REPORTS
                      #S(REPORTS-$ :CURRENT-RESULTS
                                     #P"CHA:>p>autoclass>sample>IMPORTS-85&IMPORTS-85&IMPORTS-85.DUMP.3"
                                   :CLASS-WT-ORDERING (8 7 4 6 3 5 9 2 0 10 1)
                                   :ATT-MODEL-TERM-TYPES #<ART-Q-11 45744047>
                                   :MAX-CLASS-STRENGTH -65.20366
                                   :CLASS-STRENGTH #<ART-Q-11 45745001>
                                   :DATUM-CLASS-ASSIGNMENT #<ART-Q-205 45745015>))
