#######################################################
# Installation log.
# Anything after a "> " is user-entered text

> mkdir -p $HOME/tmp
> cd $HOME/tmp
> wget -q -O INSTALL http://unbox.org/wisp/trunk/our/INSTALL
> bash INSTALL
To uninstall oursh:   rm -rf /Users/timm/opt/oursh
To uninstall ourgawk: rm -rf /Users/timm/opt/ourgawk
To uninstall ourmine: rm -rf /Users/timm/opt/ourmine


#######################################################
# Check that oursh works

> cd $HOME/opt/oursh
> bash our shrc
OurSh version v0.1 (c)2007 tim@menzies.us under GPLv3
Tmp=/tmp/timm/tmp.tLqdi0AOWJ
Reach out and grep someone.

Our BASH!: 501$ demo1
timm
/Users/timm
timm lives in /Users/timm
Our BASH!: 502$ exit
exit

#######################################################
# Check that ourgawk works

> cd $HOME/opt/oursh/ourgawk  
> bash our gawkrc
OurGawk version v0.1 (c)2007 tim@menzies.us under GPLv3
Tmp=/tmp/timm/tmp.4w9LljUWtE
If you can get your job done with grep don't use SED.
If you can do it with SED don't use AWK.
If you can do it with AWK don't use 'C'.

Our GAWK!:501$ demo1
hello world
Our GAWK!:502$ exit
exit

#######################################################
# Check that ourgawk works

> cd $HOME/opt/oursh/ourmine
> bash our minerc
OurMine version v0.1 (c)2007 tim@menzies.us under GPLv3
Too many doings, not enough learnings.

Our MINE!: 501$ demo3
c
Options: -C 0.25 -M 2 

J48 pruned tree
------------------

outlook = sunny
|   humidity = high: no (3.0)
|   humidity = normal: yes (2.0)
outlook = overcast: yes (4.0)
outlook = rainy
|   windy = TRUE: no (2.0)
|   windy = FALSE: yes (3.0)

Number of Leaves  : 	5

Size of the tree : 	8


Time taken to build model: 0.02 seconds
Time taken to test model on training data: 0 seconds

=== Error on training data ===

Correctly Classified Instances          14              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0     
Root mean squared error                  0     
Relative absolute error                  0      %
Root relative squared error              0      %
Total Number of Instances               14     


=== Detailed Accuracy By Class ===

TP Rate   FP Rate   Precision   Recall  F-Measure   Class
  1         0          1         1         1        yes
  1         0          1         1         1        no


=== Confusion Matrix ===

 a b   <-- classified as
 9 0 | a = yes
 0 5 | b = no



=== Stratified cross-validation ===

Correctly Classified Instances           7               50      %
Incorrectly Classified Instances         7               50      %
Kappa statistic                         -0.0426
Mean absolute error                      0.4167
Root mean squared error                  0.5984
Relative absolute error                 87.5    %
Root relative squared error            121.2987 %
Total Number of Instances               14     


=== Detailed Accuracy By Class ===

TP Rate   FP Rate   Precision   Recall  F-Measure   Class
  0.556     0.6        0.625     0.556     0.588    yes
  0.4       0.444      0.333     0.4       0.364    no


=== Confusion Matrix ===

 a b   <-- classified as
 5 4 | a = yes
 3 2 | b = no