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-rwxr-xr-xdata/mushroom/2svmlight.rb39
-rw-r--r--data/mushroom/Index7
-rw-r--r--data/mushroom/agaricus-lepiota.data8124
-rw-r--r--data/mushroom/agaricus-lepiota.names148
-rw-r--r--data/mushroom/agaricus-lepiota.svmlight.data8124
-rw-r--r--data/mushroom/agaricus-lepiota.svmlight.shuf.data8124
-rw-r--r--data/mushroom/expanded.Zbin0 -> 111577 bytes
-rw-r--r--data/mushroom/model.gzbin0 -> 329 bytes
-rw-r--r--data/mushroom/mushroom.cfg3
-rw-r--r--data/mushroom/mushroom.model.gzbin0 -> 329 bytes
-rw-r--r--data/mushroom/svm_light/model350
-rw-r--r--data/mushroom/svm_light/svm_predictions1124
-rw-r--r--data/mushroom/svm_light/test5
-rw-r--r--data/mushroom/test1124
-rw-r--r--data/mushroom/train7000
15 files changed, 34172 insertions, 0 deletions
diff --git a/data/mushroom/2svmlight.rb b/data/mushroom/2svmlight.rb
new file mode 100755
index 0000000..e915f3b
--- /dev/null
+++ b/data/mushroom/2svmlight.rb
@@ -0,0 +1,39 @@
+#!/usr/bin/env ruby
+
+
+lists = []
+0.upto(21) { lists << [] }
+cached = []
+while line = STDIN.gets
+ line.strip!
+ a = line.split ','
+ cached << a
+ 1.upto(22) { |i|
+ lists[i-1] << a[i]
+ }
+end
+lists.each { |list| list.uniq! }
+fmaps = []
+global_fid = 1
+0.upto(21) { fmaps << {} }
+lists.each_with_index { |list, i|
+ list.each_with_index { |fval, j|
+ fmaps[i][fval] = global_fid
+ global_fid += 1
+ }
+}
+cached.each { |i|
+ label = i[0]
+ if label == 'e'
+ label = 1
+ elsif label == 'p'
+ label = -1
+ else
+ next
+ end
+ f = i[1..22]
+ a = []
+ f.each_with_index { |j,idx| a << "#{fmaps[idx][j]}:1.0" }
+ puts "#{label} #{a.join ' '}"
+}
+
diff --git a/data/mushroom/Index b/data/mushroom/Index
new file mode 100644
index 0000000..8f362bf
--- /dev/null
+++ b/data/mushroom/Index
@@ -0,0 +1,7 @@
+Index of mushroom
+
+02 Dec 1996 193 Index
+25 Jun 1990 111577 expanded.Z
+26 Feb 1990 4167 agaricus-lepiota.names
+30 May 1989 853 README
+30 May 1989 373704 agaricus-lepiota.data
diff --git a/data/mushroom/agaricus-lepiota.data b/data/mushroom/agaricus-lepiota.data
new file mode 100644
index 0000000..14fe8bb
--- /dev/null
+++ b/data/mushroom/agaricus-lepiota.data
@@ -0,0 +1,8124 @@
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+p,k,s,e,f,y,f,c,n,b,t,?,k,k,w,p,p,w,o,e,w,v,d
+e,k,f,w,f,n,f,w,b,w,e,?,k,k,w,w,p,w,t,p,w,s,g
+e,f,s,n,f,n,a,c,b,o,e,?,s,s,o,o,p,n,o,p,b,v,l
+p,k,s,e,f,s,f,c,n,b,t,?,s,s,p,w,p,w,o,e,w,v,p
+e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,n,o,p,n,c,l
+e,k,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,n,o,p,o,c,l
+e,k,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,n,v,l
+e,k,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,n,o,p,y,v,l
+e,k,s,n,f,n,a,c,b,o,e,?,s,s,o,o,p,o,o,p,n,v,l
+e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,n,c,l
+p,k,y,e,f,y,f,c,n,b,t,?,k,s,p,w,p,w,o,e,w,v,l
+e,b,s,w,f,n,f,w,b,w,e,?,s,s,w,w,p,w,t,p,w,n,g
+e,x,s,n,f,n,a,c,b,o,e,?,s,s,o,o,p,o,o,p,n,v,l
+e,k,s,w,f,n,f,w,b,p,e,?,s,s,w,w,p,w,t,p,w,n,g
+e,k,s,n,f,n,a,c,b,o,e,?,s,s,o,o,p,n,o,p,b,v,l
+p,k,y,e,f,y,f,c,n,b,t,?,k,k,p,p,p,w,o,e,w,v,d
+p,f,y,c,f,m,a,c,b,y,e,c,k,y,c,c,p,w,n,n,w,c,d
+e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,o,v,l
+p,k,y,n,f,s,f,c,n,b,t,?,s,k,p,w,p,w,o,e,w,v,l
+p,k,s,e,f,y,f,c,n,b,t,?,k,s,p,w,p,w,o,e,w,v,d
+p,k,y,n,f,f,f,c,n,b,t,?,k,s,p,w,p,w,o,e,w,v,d
+e,k,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,b,c,l
+e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,n,o,p,b,v,l
+e,f,s,n,f,n,a,c,b,n,e,?,s,s,o,o,p,o,o,p,b,c,l
+p,k,y,n,f,y,f,c,n,b,t,?,s,k,w,w,p,w,o,e,w,v,l
+e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,o,c,l
diff --git a/data/mushroom/agaricus-lepiota.names b/data/mushroom/agaricus-lepiota.names
new file mode 100644
index 0000000..4f1f3b5
--- /dev/null
+++ b/data/mushroom/agaricus-lepiota.names
@@ -0,0 +1,148 @@
+1. Title: Mushroom Database
+
+2. Sources:
+ (a) Mushroom records drawn from The Audubon Society Field Guide to North
+ American Mushrooms (1981). G. H. Lincoff (Pres.), New York: Alfred
+ A. Knopf
+ (b) Donor: Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
+ (c) Date: 27 April 1987
+
+3. Past Usage:
+ 1. Schlimmer,J.S. (1987). Concept Acquisition Through Representational
+ Adjustment (Technical Report 87-19). Doctoral disseration, Department
+ of Information and Computer Science, University of California, Irvine.
+ --- STAGGER: asymptoted to 95% classification accuracy after reviewing
+ 1000 instances.
+ 2. Iba,W., Wogulis,J., & Langley,P. (1988). Trading off Simplicity
+ and Coverage in Incremental Concept Learning. In Proceedings of
+ the 5th International Conference on Machine Learning, 73-79.
+ Ann Arbor, Michigan: Morgan Kaufmann.
+ -- approximately the same results with their HILLARY algorithm
+ 3. In the following references a set of rules (given below) were
+ learned for this data set which may serve as a point of
+ comparison for other researchers.
+
+ Duch W, Adamczak R, Grabczewski K (1996) Extraction of logical rules
+ from training data using backpropagation networks, in: Proc. of the
+ The 1st Online Workshop on Soft Computing, 19-30.Aug.1996, pp. 25-30,
+ available on-line at: http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/
+
+ Duch W, Adamczak R, Grabczewski K, Ishikawa M, Ueda H, Extraction of
+ crisp logical rules using constrained backpropagation networks -
+ comparison of two new approaches, in: Proc. of the European Symposium
+ on Artificial Neural Networks (ESANN'97), Bruge, Belgium 16-18.4.1997,
+ pp. xx-xx
+
+ Wlodzislaw Duch, Department of Computer Methods, Nicholas Copernicus
+ University, 87-100 Torun, Grudziadzka 5, Poland
+ e-mail: duch@phys.uni.torun.pl
+ WWW http://www.phys.uni.torun.pl/kmk/
+
+ Date: Mon, 17 Feb 1997 13:47:40 +0100
+ From: Wlodzislaw Duch <duch@phys.uni.torun.pl>
+ Organization: Dept. of Computer Methods, UMK
+
+ I have attached a file containing logical rules for mushrooms.
+ It should be helpful for other people since only in the last year I
+ have seen about 10 papers analyzing this dataset and obtaining quite
+ complex rules. We will try to contribute other results later.
+
+ With best regards, Wlodek Duch
+ ________________________________________________________________
+
+ Logical rules for the mushroom data sets.
+
+ Logical rules given below seem to be the simplest possible for the
+ mushroom dataset and therefore should be treated as benchmark results.
+
+ Disjunctive rules for poisonous mushrooms, from most general
+ to most specific:
+
+ P_1) odor=NOT(almond.OR.anise.OR.none)
+ 120 poisonous cases missed, 98.52% accuracy
+
+ P_2) spore-print-color=green
+ 48 cases missed, 99.41% accuracy
+
+ P_3) odor=none.AND.stalk-surface-below-ring=scaly.AND.
+ (stalk-color-above-ring=NOT.brown)
+ 8 cases missed, 99.90% accuracy
+
+ P_4) habitat=leaves.AND.cap-color=white
+ 100% accuracy
+
+ Rule P_4) may also be
+
+ P_4') population=clustered.AND.cap_color=white
+
+ These rule involve 6 attributes (out of 22). Rules for edible
+ mushrooms are obtained as negation of the rules given above, for
+ example the rule:
+
+ odor=(almond.OR.anise.OR.none).AND.spore-print-color=NOT.green
+
+ gives 48 errors, or 99.41% accuracy on the whole dataset.
+
+ Several slightly more complex variations on these rules exist,
+ involving other attributes, such as gill_size, gill_spacing,
+ stalk_surface_above_ring, but the rules given above are the simplest
+ we have found.
+
+
+4. Relevant Information:
+ This data set includes descriptions of hypothetical samples
+ corresponding to 23 species of gilled mushrooms in the Agaricus and
+ Lepiota Family (pp. 500-525). Each species is identified as
+ definitely edible, definitely poisonous, or of unknown edibility and
+ not recommended. This latter class was combined with the poisonous
+ one. The Guide clearly states that there is no simple rule for
+ determining the edibility of a mushroom; no rule like ``leaflets
+ three, let it be'' for Poisonous Oak and Ivy.
+
+5. Number of Instances: 8124
+
+6. Number of Attributes: 22 (all nominally valued)
+
+7. Attribute Information: (classes: edible=e, poisonous=p)
+ 1. cap-shape: bell=b,conical=c,convex=x,flat=f,
+ knobbed=k,sunken=s
+ 2. cap-surface: fibrous=f,grooves=g,scaly=y,smooth=s
+ 3. cap-color: brown=n,buff=b,cinnamon=c,gray=g,green=r,
+ pink=p,purple=u,red=e,white=w,yellow=y
+ 4. bruises?: bruises=t,no=f
+ 5. odor: almond=a,anise=l,creosote=c,fishy=y,foul=f,
+ musty=m,none=n,pungent=p,spicy=s
+ 6. gill-attachment: attached=a,descending=d,free=f,notched=n
+ 7. gill-spacing: close=c,crowded=w,distant=d
+ 8. gill-size: broad=b,narrow=n
+ 9. gill-color: black=k,brown=n,buff=b,chocolate=h,gray=g,
+ green=r,orange=o,pink=p,purple=u,red=e,
+ white=w,yellow=y
+ 10. stalk-shape: enlarging=e,tapering=t
+ 11. stalk-root: bulbous=b,club=c,cup=u,equal=e,
+ rhizomorphs=z,rooted=r,missing=?
+ 12. stalk-surface-above-ring: fibrous=f,scaly=y,silky=k,smooth=s
+ 13. stalk-surface-below-ring: fibrous=f,scaly=y,silky=k,smooth=s
+ 14. stalk-color-above-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o,
+ pink=p,red=e,white=w,yellow=y
+ 15. stalk-color-below-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o,
+ pink=p,red=e,white=w,yellow=y
+ 16. veil-type: partial=p,universal=u
+ 17. veil-color: brown=n,orange=o,white=w,yellow=y
+ 18. ring-number: none=n,one=o,two=t
+ 19. ring-type: cobwebby=c,evanescent=e,flaring=f,large=l,
+ none=n,pendant=p,sheathing=s,zone=z
+ 20. spore-print-color: black=k,brown=n,buff=b,chocolate=h,green=r,
+ orange=o,purple=u,white=w,yellow=y
+ 21. population: abundant=a,clustered=c,numerous=n,
+ scattered=s,several=v,solitary=y
+ 22. habitat: grasses=g,leaves=l,meadows=m,paths=p,
+ urban=u,waste=w,woods=d
+
+8. Missing Attribute Values: 2480 of them (denoted by "?"), all for
+ attribute #11.
+
+9. Class Distribution:
+ -- edible: 4208 (51.8%)
+ -- poisonous: 3916 (48.2%)
+ -- total: 8124 instances
diff --git a/data/mushroom/agaricus-lepiota.svmlight.data b/data/mushroom/agaricus-lepiota.svmlight.data
new file mode 100644
index 0000000..37bd1b9
--- /dev/null
+++ b/data/mushroom/agaricus-lepiota.svmlight.data
@@ -0,0 +1,8124 @@
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diff --git a/data/mushroom/agaricus-lepiota.svmlight.shuf.data b/data/mushroom/agaricus-lepiota.svmlight.shuf.data
new file mode 100644
index 0000000..476e9b6
--- /dev/null
+++ b/data/mushroom/agaricus-lepiota.svmlight.shuf.data
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diff --git a/data/mushroom/expanded.Z b/data/mushroom/expanded.Z
new file mode 100644
index 0000000..21e54b2
--- /dev/null
+++ b/data/mushroom/expanded.Z
Binary files differ
diff --git a/data/mushroom/model.gz b/data/mushroom/model.gz
new file mode 100644
index 0000000..6af87ec
--- /dev/null
+++ b/data/mushroom/model.gz
Binary files differ
diff --git a/data/mushroom/mushroom.cfg b/data/mushroom/mushroom.cfg
new file mode 100644
index 0000000..2862634
--- /dev/null
+++ b/data/mushroom/mushroom.cfg
@@ -0,0 +1,3 @@
+train=mushroom/train
+test=mushroom/test
+model_file=mushroom/model.gz
diff --git a/data/mushroom/mushroom.model.gz b/data/mushroom/mushroom.model.gz
new file mode 100644
index 0000000..660643d
--- /dev/null
+++ b/data/mushroom/mushroom.model.gz
Binary files differ
diff --git a/data/mushroom/svm_light/model b/data/mushroom/svm_light/model
new file mode 100644
index 0000000..b44ec44
--- /dev/null
+++ b/data/mushroom/svm_light/model
@@ -0,0 +1,350 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d
+1 # kernel parameter -g
+1 # kernel parameter -s
+1 # kernel parameter -r
+empty# kernel parameter -u
+117 # highest feature index
+8124 # number of training documents
+340 # number of support vectors plus 1
+0.38892803 # threshold b, each following line is a SV (starting with alpha*y)
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diff --git a/data/mushroom/svm_light/svm_predictions b/data/mushroom/svm_light/svm_predictions
new file mode 100644
index 0000000..2621cd2
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diff --git a/data/mushroom/svm_light/test b/data/mushroom/svm_light/test
new file mode 100644
index 0000000..fe6fb98
--- /dev/null
+++ b/data/mushroom/svm_light/test
@@ -0,0 +1,5 @@
+Reading model...OK. (339 support vectors read)
+Classifying test examples..100..200..300..400..500..600..700..800..900..1000..1100..done
+Runtime (without IO) in cpu-seconds: 0.00
+Accuracy on test set: 100.00% (1124 correct, 0 incorrect, 1124 total)
+Precision/recall on test set: 100.00%/100.00%
diff --git a/data/mushroom/test b/data/mushroom/test
new file mode 100644
index 0000000..c9e79f6
--- /dev/null
+++ b/data/mushroom/test
@@ -0,0 +1,1124 @@
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diff --git a/data/mushroom/train b/data/mushroom/train
new file mode 100644
index 0000000..e6cc097
--- /dev/null
+++ b/data/mushroom/train
@@ -0,0 +1,7000 @@
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