Published Histories | ljohn | 01_AUG_CheckALLDESC
Import history

Galaxy History ' 01_AUG_CheckALLDESC'


DatasetAnnotation
1: Training1332.csv
876 lines
format: txt, database: ?
Info:
uploaded txt file
Row,NEG_01_NEG,NEG_02_NEG,NEG_03_NEG,NEG_04_NEG,NEG_05_NEG,NEG_06_NEG,NEG_07_NEG,NEG_01_POS,NEG_02_POS,NEG_03_POS,NEG_04_POS,NEG_05_POS,NEG_06_POS,NEG_07_POS,NEG_01_HBD,NEG_02_HBD,NEG_03_HBD,NEG_04_HBD,NEG_05_HBD,NEG_06_HBD,NEG_07_HBD,NEG_01_HBA,NEG_02_HBA
,NEG_03_HBA,NEG_04_HBA,NEG_05_HBA,NEG_06_HBA,NEG_07_HBA,NEG_01_ARC,NEG_02_ARC,NEG_03_ARC,NEG_04_ARC,NEG_05_ARC,NEG_06_ARC,NEG_07_ARC,NEG_01_HYP,NEG_02_HYP,NEG_03_HYP,NEG_04_HYP,NEG_05_HYP,NEG_06_HYP,NEG_07_HYP,POS_01_POS,POS_02_POS,POS_03_POS,POS_04_POS,PO
S_05_POS,POS_06_POS,POS_07_POS,POS_01_HBD,POS_02_HBD,POS_03_HBD,POS_04_HBD,POS_05_HBD,POS_06_HBD,POS_07_HBD,POS_01_HBA,POS_02_HBA,POS_03_HBA,POS_04_HBA,POS_05_HBA,POS_06_HBA,POS_07_HBA,POS_01_ARC,POS_02_ARC,POS_03_ARC,POS_04_ARC,POS_05_ARC,POS_06_ARC,POS_0
7_ARC,POS_01_HYP,POS_02_HYP,POS_03_HYP,POS_04_HYP,POS_05_HYP,POS_06_HYP,POS_07_HYP,HBD_01_HBD,HBD_02_HBD,HBD_03_HBD,HBD_04_HBD,HBD_05_HBD,HBD_06_HBD,HBD_07_HBD,HBD_01_HBA,HBD_02_HBA,HBD_03_HBA,HBD_04_HBA,HBD_05_HBA,HBD_06_HBA,HBD_07_HBA,HBD_01_ARC,HBD_02_A
RC,HBD_03_ARC,HBD_04_ARC,HBD_05_ARC,HBD_06_ARC,HBD_07_ARC,HBD_01_HYP,HBD_02_HYP,HBD_03_HYP,HBD_04_HYP,HBD_05_HYP,HBD_06_HYP,HBD_07_HYP,HBA_01_HBA,HBA_02_HBA,HBA_03_HBA,HBA_04_HBA,HBA_05_HBA,HBA_06_HBA,HBA_07_HBA,HBA_01_ARC,HBA_02_ARC,HBA_03_ARC,HBA_04_ARC,
HBA_05_ARC,HBA_06_ARC,HBA_07_ARC,HBA_01_HYP,HBA_02_HYP,HBA_03_HYP,HBA_04_HYP,HBA_05_HYP,HBA_06_HYP,HBA_07_HYP,ARC_01_ARC,ARC_02_ARC,ARC_03_ARC,ARC_04_ARC,ARC_05_ARC,ARC_06_ARC,ARC_07_ARC,ARC_01_HYP,ARC_02_HYP,ARC_03_HYP,ARC_04_HYP,ARC_05_HYP,ARC_06_HYP,ARC
2: test1332.csv
219 lines
format: txt, database: ?
Info:
uploaded txt file
Row,NEG_01_NEG,NEG_02_NEG,NEG_03_NEG,NEG_04_NEG,NEG_05_NEG,NEG_06_NEG,NEG_07_NEG,NEG_01_POS,NEG_02_POS,NEG_03_POS,NEG_04_POS,NEG_05_POS,NEG_06_POS,NEG_07_POS,NEG_01_HBD,NEG_02_HBD,NEG_03_HBD,NEG_04_HBD,NEG_05_HBD,NEG_06_HBD,NEG_07_HBD,NEG_01_HBA,NEG_02_HBA
,NEG_03_HBA,NEG_04_HBA,NEG_05_HBA,NEG_06_HBA,NEG_07_HBA,NEG_01_ARC,NEG_02_ARC,NEG_03_ARC,NEG_04_ARC,NEG_05_ARC,NEG_06_ARC,NEG_07_ARC,NEG_01_HYP,NEG_02_HYP,NEG_03_HYP,NEG_04_HYP,NEG_05_HYP,NEG_06_HYP,NEG_07_HYP,POS_01_POS,POS_02_POS,POS_03_POS,POS_04_POS,PO
S_05_POS,POS_06_POS,POS_07_POS,POS_01_HBD,POS_02_HBD,POS_03_HBD,POS_04_HBD,POS_05_HBD,POS_06_HBD,POS_07_HBD,POS_01_HBA,POS_02_HBA,POS_03_HBA,POS_04_HBA,POS_05_HBA,POS_06_HBA,POS_07_HBA,POS_01_ARC,POS_02_ARC,POS_03_ARC,POS_04_ARC,POS_05_ARC,POS_06_ARC,POS_0
7_ARC,POS_01_HYP,POS_02_HYP,POS_03_HYP,POS_04_HYP,POS_05_HYP,POS_06_HYP,POS_07_HYP,HBD_01_HBD,HBD_02_HBD,HBD_03_HBD,HBD_04_HBD,HBD_05_HBD,HBD_06_HBD,HBD_07_HBD,HBD_01_HBA,HBD_02_HBA,HBD_03_HBA,HBD_04_HBA,HBD_05_HBA,HBD_06_HBA,HBD_07_HBA,HBD_01_ARC,HBD_02_A
RC,HBD_03_ARC,HBD_04_ARC,HBD_05_ARC,HBD_06_ARC,HBD_07_ARC,HBD_01_HYP,HBD_02_HYP,HBD_03_HYP,HBD_04_HYP,HBD_05_HYP,HBD_06_HYP,HBD_07_HYP,HBA_01_HBA,HBA_02_HBA,HBA_03_HBA,HBA_04_HBA,HBA_05_HBA,HBA_06_HBA,HBA_07_HBA,HBA_01_ARC,HBA_02_ARC,HBA_03_ARC,HBA_04_ARC,
HBA_05_ARC,HBA_06_ARC,HBA_07_ARC,HBA_01_HYP,HBA_02_HYP,HBA_03_HYP,HBA_04_HYP,HBA_05_HYP,HBA_06_HYP,HBA_07_HYP,ARC_01_ARC,ARC_02_ARC,ARC_03_ARC,ARC_04_ARC,ARC_05_ARC,ARC_06_ARC,ARC_07_ARC,ARC_01_HYP,ARC_02_HYP,ARC_03_HYP,ARC_04_HYP,ARC_05_HYP,ARC_06_HYP,ARC
3: Convert_csv_to_arff on data 1
1,058 lines
format: text, database: ?
@relation dataset_10772.dat
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
4: Convert_csv_to_arff on data 2
401 lines
format: text, database: ?
@relation dataset_10773.dat
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
7: discre_train
1,058 lines
format: txt, database: ?
@relation dataset_10772.dat-weka.filters.supervised.attribute.Discretize-Rfirst-last
@attribute Row {'\'All\''}
@attribute NEG_01_NEG {'\'All\''}
@attribute NEG_02_NEG {'\'All\''}
@attribute NEG_03_NEG {'\'All\''}
8: wekatool on data 7
306 lines
format: model, database: ?
binary file
9: wekatool on data 7
227 lines
format: txt, database: ?
Bayes Network Classifier
Using ADTree
#attributes=181 #classindex=180
Network structure (nodes followed by parents)
Row(1): Class
10: dicre_test
401 lines
format: txt, database: ?
@relation dataset_10773.dat-weka.filters.supervised.attribute.Discretize-Rfirst-last
@attribute Row {'\'All\''}
@attribute NEG_01_NEG {'\'All\''}
@attribute NEG_02_NEG {'\'All\''}
@attribute NEG_03_NEG {'\'All\''}
11: wekatool on data 7
1.4 MB
An error occurred running this job:
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.ComplementNaiveBayes: Cannot handle unary attributes!
at weka.core.Capabilities.test(Capabilities.java:926)
at weka.core.Capabilities.test(Capabilities.java:864)
at weka.core.Capabili
12: wekatool on data 7
0 bytes
An error occurred running this job:
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.ComplementNaiveBayes: Cannot handle unary attributes!
at weka.core.Capabilities.test(Capabilities.java:926)
at weka.core.Capabilities.test(Capabilities.java:864)
at weka.core.Capabili
13: wekatool on data 7
1.4 MB
An error occurred running this job:
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.NaiveBayesMultinomial: Cannot handle unary attributes!
at weka.core.Capabilities.test(Capabilities.java:926)
at weka.core.Capabilities.test(Capabilities.java:864)
at weka.core.Capabil
14: wekatool on data 7
0 bytes
An error occurred running this job:
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.NaiveBayesMultinomial: Cannot handle unary attributes!
at weka.core.Capabilities.test(Capabilities.java:926)
at weka.core.Capabilities.test(Capabilities.java:864)
at weka.core.Capabil
15: wekatool on data 3
310 lines
format: model, database: ?
binary file
16: wekatool on data 3
162 lines
format: txt, database: ?
The log ratio of two conditional probabilities of a word w_i: log(p(w_i)|+)/p(w_i)|-)) in decent order based on their absolute values
Can be used to measure the discriminative power of each word.
HYP_02_HYP: 0.8375517975230514
HYP_04_HYP: 0.8194830916131052
17: wekatool on data 3
326 lines
format: model, database: ?
binary file
18: wekatool on data 3
943 lines
format: txt, database: ?
Naive Bayes Classifier
Class
Attribute Inactive Active
(0.84) (0.16)
19: wekatool on data 3
58.8 KB
An error occurred running this job:
java.lang.Exception: Numeric attribute values must all be greater or equal to zero.
at weka.classifiers.bayes.NaiveBayesMultinomial.buildClassifier(NaiveBayesMultinomial.java:214)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at w
20: wekatool on data 3
0 bytes
An error occurred running this job:
java.lang.Exception: Numeric attribute values must all be greater or equal to zero.
at weka.classifiers.bayes.NaiveBayesMultinomial.buildClassifier(NaiveBayesMultinomial.java:214)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at w
21: wekatool on data 3
58.8 KB
An error occurred running this job:
java.lang.Exception: attribute NEG_01_NEG: standard deviation is 0 for class Active
at weka.classifiers.bayes.NaiveBayesSimple.buildClassifier(NaiveBayesSimple.java:272)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at weka.classi
22: wekatool on data 3
0 bytes
An error occurred running this job:
java.lang.Exception: attribute NEG_01_NEG: standard deviation is 0 for class Active
at weka.classifiers.bayes.NaiveBayesSimple.buildClassifier(NaiveBayesSimple.java:272)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at weka.classi
23: wekatool on data 3
1,798 lines
format: model, database: ?
binary file
24: wekatool on data 3
196 lines
format: txt, database: ?
Norm-Based Hyperparameter Selection: 2.1395671862676095E-12
Regression Coefficients
=========================
25: wekatool on data 3
1.3 MB
An error occurred running this job:
java.lang.Exception: Numeric attribute values must all be greater or equal to zero.
at weka.classifiers.bayes.NaiveBayesMultinomialUpdateable.updateClassifier(NaiveBayesMultinomialUpdateable.java:152)
at weka.classifiers.bayes.NaiveBayesMultinomialUpda
26: wekatool on data 3
0 bytes
An error occurred running this job:
java.lang.Exception: Numeric attribute values must all be greater or equal to zero.
at weka.classifiers.bayes.NaiveBayesMultinomialUpdateable.updateClassifier(NaiveBayesMultinomialUpdateable.java:152)
at weka.classifiers.bayes.NaiveBayesMultinomialUpda
27: wekatool on data 3
1,745 lines
format: model, database: ?
binary file
28: wekatool on data 3
39 lines
format: txt, database: ?
IB1 classifier
Time taken to build model: 0.02 seconds
Time taken to test model on training data: 1.69 seconds
29: wekatool on data 3
1,746 lines
format: model, database: ?
binary file
30: wekatool on data 3
40 lines
format: txt, database: ?
IB1 instance-based classifier
using 1 nearest neighbour(s) for classification
Time taken to build model: 0.01 seconds
31: wekatool on data 3
2,617 lines
format: model, database: ?
binary file
32: wekatool on data 3
42 lines
format: txt, database: ?
KStar Beta Verion (0.1b).
Copyright (c) 1995-97 by Len Trigg (trigg@cs.waikato.ac.nz).
Java port to Weka by Abdelaziz Mahoui (am14@cs.waikato.ac.nz).
KStar options : -B 20 -M a
33: wekatool on data 3
1,745 lines
format: model, database: ?
binary file
34: wekatool on data 3
43 lines
format: txt, database: ?
Locally weighted learning
===========================
Using classifier: weka.classifiers.trees.DecisionStump
Using linear weighting kernels
Using all neighbours
35: wekatool on data 3
160 lines
format: model, database: ?
binary file
36: wekatool on data 3
48 lines
format: txt, database: ?
Single conjunctive rule learner:
--------------------------------
=> Class = Inactive
37: wekatool on data 3
330 lines
format: model, database: ?
binary file
38: wekatool on data 3
50 lines
format: txt, database: ?
Decision Table:
Number of training instances: 875
Number of Rules : 1
Non matches covered by Majority class.
39: wekatool on data 3
12,173 lines
format: model, database: ?
binary file
40: wekatool on data 3
44 lines
format: txt, database: ?
Decision Table:
Number of training instances: 875
Number of Rules : 154
Non matches covered by Majority class.
41: wekatool on data 3
321 lines
format: model, database: ?
binary file
42: wekatool on data 3
45 lines
format: txt, database: ?
JRIP rules:
===========
(XLogP >= 4.238) and (PSA <= 27.05) and (WBN_GC_L_0.75 <= -2.37061) => Class=Active (27.0/2.0)
(MW >= 434.527) and (WBN_GC_H_1.00 >= 4.12245) => Class=Active (25.0/7.0)
43: wekatool on data 3
2,856 lines
format: model, database: ?
binary file
44: wekatool on data 3
241 lines
format: txt, database: ?
NNGE classifier
Rules generated :
class Inactive IF : 2318.0<=Row<=5324346.0 ^ NEG_01_NEG=0.0 ^ NEG_02_NEG=0.0 ^ NEG_03_NEG=0.0 ^ NEG_04_NEG=0.0 ^ NEG_05_NEG=0.0 ^ NEG_06_NEG=0.0 ^ NEG_07_NEG=0.0 ^ NEG_01_POS=0.0 ^ NEG_02_POS=0.0 ^ NEG_03_POS=0.0 ^ NEG_04_POS=0.0 ^ NEG_05_POS=0.0 ^ NEG_06
45: wekatool on data 3
152 lines
format: model, database: ?
binary file
46: wekatool on data 3
57 lines
format: txt, database: ?
WBN_EN_L_0.25:
< -0.8467454999999999 -> Inactive
< -0.843205 -> Active
< -0.8316025 -> Inactive
< -0.8282955000000001 -> Active
47: wekatool on data 3
381 lines
format: model, database: ?
binary file
48: wekatool on data 3
274 lines
format: txt, database: ?
PART decision list
------------------
XLogP <= 4.232 AND
POS_03_HYP <= 0 AND
49: wekatool on data 3
156 lines
format: model, database: ?
binary file
50: wekatool on data 3
43 lines
format: txt, database: ?
RIpple DOwn Rule Learner(Ridor) rules
--------------------------------------
Class = Inactive (875.0/137.0)
Except (XLogP > 3.6635) and (WBN_LP_H_0.25 > 1.129695) and (WBN_EN_H_0.25 <= 1.1484) => Class = Active (21.0/2.0) [6.0/1.0]
51: wekatool on data 3
153 lines
format: model, database: ?
binary file
52: wekatool on data 3
39 lines
format: txt, database: ?
ZeroR predicts class value: Inactive
Time taken to build model: 0.01 seconds
Time taken to test model on training data: 0.06 seconds
53: wekatool on data 3
312 lines
format: model, database: ?
binary file
54: wekatool on data 3
110 lines
format: txt, database: ?
J48 pruned tree
------------------
XLogP <= 4.232
| POS_03_HYP <= 0
55: wekatool on data 3
352 lines
format: model, database: ?
binary file
56: wekatool on data 3
168 lines
format: txt, database: ?
Logistic model tree
------------------
: LM_1:96/96 (875)
Number of Leaves : 1
57: wekatool on data 3
383 lines
format: model, database: ?
binary file
58: wekatool on data 3
40 lines
format: txt, database: ?
Random forest of 10 trees, each constructed while considering 8 random features.
Out of bag error: 0.1451
59: wekatool on data 3
816 lines
format: model, database: ?
binary file
60: wekatool on data 3
478 lines
format: txt, database: ?
J48graft pruned tree
------------------
XLogP <= 4.232
| POS_03_HYP <= 0
61: wekatool on data 60
0 bytes
An error occurred running this job:
Weka exception: Unable to determine structure as arff (Reason: java.io.IOException: keyword @relation expected, read Token[J48graft], line 2).

General options:

-h or -help
Output help information.
-synopsis or -info
Output synopsis for classifier (us
62: wekatool on data 60
0 bytes
An error occurred running this job:
Weka exception: Unable to determine structure as arff (Reason: java.io.IOException: keyword @relation expected, read Token[J48graft], line 2).

General options:

-h or -help
Output help information.
-synopsis or -info
Output synopsis for classifier (us
63: wekatool on data 3
7,118 lines
format: model, database: ?
binary file
64: wekatool on data 3
1,492 lines
format: txt, database: ?
FT tree
------------------
N0#1 <= 0.775076
| N0#2 <= 0.489884
65: wekatool on data 3
4,656 lines
format: model, database: ?
binary file
66: wekatool on data 3
91 lines
format: txt, database: ?
Best-First Decision Tree
XLogP < 4.235
| WBN_LP_H_1.00 < 4.10237
| | WBN_LP_L_0.25 < -1.07672
67: wekatool on data 3
303 lines
format: model, database: ?
binary file
68: wekatool on data 3
53 lines
format: txt, database: ?
Decision Stump
Classifications
XLogP <= 4.235 : Inactive
69: wekatool on data 3
1,852 lines
format: model, database: ?
binary file
70: wekatool on data 3
61 lines
format: txt, database: ?
weka.classifiers.trees.LADTree:
: 0,0
| (1)XLogP < 4.235: 0.79,-0.79
| | (4)NumHBA < 9.5: 0.206,-0.206
71: wekatool on data 3
2,211 lines
format: model, database: ?
binary file
72: wekatool on data 3
17,141 lines
format: txt, database: ?
NBTree
------------------
WBN_EN_L_0.75 <= -2.36544
| POS_04_ARC <= 0.5
73: wekatool on data 3
307 lines
format: model, database: ?
binary file
74: wekatool on data 3
61 lines
format: txt, database: ?
REPTree
============
XLogP < 4.5
75: wekatool on data 3
311 lines
format: model, database: ?
binary file
76: wekatool on data 3
327 lines
format: txt, database: ?
RandomTree
==========
WBN_LP_H_0.50 < 1.89
77: wekatool on data 3
1,787 lines
format: model, database: ?
binary file
78: wekatool on data 3
61 lines
format: txt, database: ?
CART Decision Tree
XLogP < 4.235
| WBN_LP_H_1.00 < 4.1023700000000005
| | WBN_LP_L_0.25 < -1.07672
79: wekatool on data 3
1.3 MB
An error occurred running this job: This job was killed when Galaxy was restarted. Please retry the job.
80: wekatool on data 3
0 bytes
An error occurred running this job: This job was killed when Galaxy was restarted. Please retry the job.
81: wekatool on data 3
9,167 lines
format: model, database: ?
binary file
82: wekatool on data 3
58 lines
format: txt, database: ?
Radial basis function network
(Logistic regression applied to K-means clusters as basis functions):
Logistic Regression with ridge parameter of 1.0E-8
Coefficients...
83: wekatool on data 82
0 bytes
An error occurred running this job:
Weka exception: Unable to determine structure as arff (Reason: java.io.IOException: keyword @relation expected, read Token[Radial], line 2).

General options:

-h or -help
Output help information.
-synopsis or -info
Output synopsis for classifier (use
84: wekatool on data 82
0 bytes
An error occurred running this job:
Weka exception: Unable to determine structure as arff (Reason: java.io.IOException: keyword @relation expected, read Token[Radial], line 2).

General options:

-h or -help
Output help information.
-synopsis or -info
Output synopsis for classifier (use
85: wekatool on data 3
12,173 lines
format: model, database: ?
binary file
86: wekatool on data 3
16,885 lines
format: txt, database: ?
Sigmoid Node 0
Inputs Weights
Threshold -7.16478276596529
Node 2 0.5192435397300365
Node 3 3.4116303670869685
87: wekatool on data 3
335 lines
format: model, database: ?
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88: wekatool on data 3
346 lines
format: txt, database: ?
Logistic Regression with ridge parameter of 1.0E-8
Coefficients...
Class
Variable Inactive
=======================================
89: wekatool on data 3
912 lines
format: model, database: ?
binary file
90: wekatool on data 3
190 lines
format: txt, database: ?
SMO
Kernel used:
Linear Kernel: K(x,y) = <x,y>
91: test_RF_model
383 lines
format: model, database: ?
binary file
92: test_RF_model
18 lines
format: text, database: ?
Random forest of 10 trees, each constructed while considering 8 random features.
Out of bag error: 0.1451
93: test_J48_model
312 lines
format: model, database: ?
binary file
94: test_J48_model
88 lines
format: text, database: ?
J48 pruned tree
------------------
XLogP <= 4.232
| POS_03_HYP <= 0
95: test_SMO_model
912 lines
format: model, database: ?
binary file
96: test_SMO_model
168 lines
format: text, database: ?
SMO
Kernel used:
Linear Kernel: K(x,y) = <x,y>
97: test_NB_model
326 lines
format: model, database: ?
binary file
98: test_NB_model
921 lines
format: text, database: ?
Naive Bayes Classifier
Class
Attribute Inactive Active
(0.84) (0.16)
99: heap_test
120.8 KB
An error occurred running this job:
---Registering Weka Editors---
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
100: heap_train
468.9 KB
An error occurred running this job:
---Registering Weka Editors---
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
101: heap_test
468.9 KB
An error occurred running this job:
---Registering Weka Editors---
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
102: unsup_train
1,058 lines
format: txt, database: ?
@relation 'dataset_10772.dat-weka.filters.unsupervised.attribute.StringToWordVector-R-W1000-prune-rate-1.0-N0-stemmerweka.core.stemmers.NullStemmer-M1-tokenizerweka.core.tokenizers.WordTokenizer -delimiters \" \\r\\n\\t.,;:\\\'\\\"()?!\"'
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
103: remove_unsup_train
1,058 lines
format: txt, database: ?
@relation dataset_10772.dat-weka.filters.unsupervised.attribute.Remove
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
104: wekatool on data 7
306 lines
format: model, database: ?
binary file
105: wekatool on data 7
227 lines
format: txt, database: ?
Bayes Network Classifier
Using ADTree
#attributes=181 #classindex=180
Network structure (nodes followed by parents)
Row(1): Class
106: Training1332_negative removed.csv
876 lines
format: tabular, database: ?
Info:
uploaded tabular file
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156
Row NEG_01_NEG NEG_02_NEG NEG_03_NEG NEG_04_NEG NEG_05_NEG NEG_06_NEG NEG_07_NEG NEG_01_POS NEG_02_POS NEG_03_POS NEG_04_POS NEG_05_POS NEG_06_POS NEG_07_POS NEG_01_HBD NEG_02_HBD NEG_03_HBD NEG_04_HBD NEG_05_HBD NEG_06_HBD NEG_07_HBD NEG_01_HBA NEG_02_HBA
NEG_03_HBA NEG_04_HBA NEG_05_HBA NEG_06_HBA NEG_07_HBA NEG_01_ARC NEG_02_ARC NEG_03_ARC NEG_04_ARC NEG_05_ARC NEG_06_ARC NEG_07_ARC NEG_01_HYP NEG_02_HYP NEG_03_HYP NEG_04_HYP NEG_05_HYP NEG_06_HYP NEG_07_HYP POS_01_POS POS_02_POS POS_03_POS POS_04_POS PO
S_05_POS POS_06_POS POS_07_POS POS_01_HBD POS_02_HBD POS_03_HBD POS_04_HBD POS_05_HBD POS_06_HBD POS_07_HBD POS_01_HBA POS_02_HBA POS_03_HBA POS_04_HBA POS_05_HBA POS_06_HBA POS_07_HBA POS_01_ARC POS_02_ARC POS_03_ARC POS_04_ARC POS_05_ARC POS_06_ARC POS_0
7_ARC POS_01_HYP POS_02_HYP POS_03_HYP POS_04_HYP POS_05_HYP POS_06_HYP POS_07_HYP HBD_01_HBD HBD_02_HBD HBD_03_HBD HBD_04_HBD HBD_05_HBD HBD_06_HBD HBD_07_HBD HBD_01_HBA HBD_02_HBA HBD_03_HBA HBD_04_HBA HBD_05_HBA HBD_06_HBA HBD_07_HBA HBD_01_ARC HBD_02_A
RC HBD_03_ARC HBD_04_ARC HBD_05_ARC HBD_06_ARC HBD_07_ARC HBD_01_HYP HBD_02_HYP HBD_03_HYP HBD_04_HYP HBD_05_HYP HBD_06_HYP HBD_07_HYP HBA_01_HBA HBA_02_HBA HBA_03_HBA HBA_04_HBA HBA_05_HBA HBA_06_HBA HBA_07_HBA HBA_01_ARC HBA_02_ARC HBA_03_ARC HBA_04_ARC
HBA_05_ARC HBA_06_ARC HBA_07_ARC HBA_01_HYP HBA_02_HYP HBA_03_HYP HBA_04_HYP HBA_05_HYP HBA_06_HYP HBA_07_HYP ARC_01_ARC ARC_02_ARC ARC_03_ARC ARC_04_ARC ARC_05_ARC ARC_06_ARC ARC_07_ARC ARC_01_HYP ARC_02_HYP ARC_03_HYP ARC_04_HYP ARC_05_HYP ARC_06_HYP ARC
107: test1332_negative removed.csv
219 lines
format: tabular, database: ?
Info:
uploaded tabular file
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156
Row NEG_01_NEG NEG_02_NEG NEG_03_NEG NEG_04_NEG NEG_05_NEG NEG_06_NEG NEG_07_NEG NEG_01_POS NEG_02_POS NEG_03_POS NEG_04_POS NEG_05_POS NEG_06_POS NEG_07_POS NEG_01_HBD NEG_02_HBD NEG_03_HBD NEG_04_HBD NEG_05_HBD NEG_06_HBD NEG_07_HBD NEG_01_HBA NEG_02_HBA
NEG_03_HBA NEG_04_HBA NEG_05_HBA NEG_06_HBA NEG_07_HBA NEG_01_ARC NEG_02_ARC NEG_03_ARC NEG_04_ARC NEG_05_ARC NEG_06_ARC NEG_07_ARC NEG_01_HYP NEG_02_HYP NEG_03_HYP NEG_04_HYP NEG_05_HYP NEG_06_HYP NEG_07_HYP POS_01_POS POS_02_POS POS_03_POS POS_04_POS PO
S_05_POS POS_06_POS POS_07_POS POS_01_HBD POS_02_HBD POS_03_HBD POS_04_HBD POS_05_HBD POS_06_HBD POS_07_HBD POS_01_HBA POS_02_HBA POS_03_HBA POS_04_HBA POS_05_HBA POS_06_HBA POS_07_HBA POS_01_ARC POS_02_ARC POS_03_ARC POS_04_ARC POS_05_ARC POS_06_ARC POS_0
7_ARC POS_01_HYP POS_02_HYP POS_03_HYP POS_04_HYP POS_05_HYP POS_06_HYP POS_07_HYP HBD_01_HBD HBD_02_HBD HBD_03_HBD HBD_04_HBD HBD_05_HBD HBD_06_HBD HBD_07_HBD HBD_01_HBA HBD_02_HBA HBD_03_HBA HBD_04_HBA HBD_05_HBA HBD_06_HBA HBD_07_HBA HBD_01_ARC HBD_02_A
RC HBD_03_ARC HBD_04_ARC HBD_05_ARC HBD_06_ARC HBD_07_ARC HBD_01_HYP HBD_02_HYP HBD_03_HYP HBD_04_HYP HBD_05_HYP HBD_06_HYP HBD_07_HYP HBA_01_HBA HBA_02_HBA HBA_03_HBA HBA_04_HBA HBA_05_HBA HBA_06_HBA HBA_07_HBA HBA_01_ARC HBA_02_ARC HBA_03_ARC HBA_04_ARC
HBA_05_ARC HBA_06_ARC HBA_07_ARC HBA_01_HYP HBA_02_HYP HBA_03_HYP HBA_04_HYP HBA_05_HYP HBA_06_HYP HBA_07_HYP ARC_01_ARC ARC_02_ARC ARC_03_ARC ARC_04_ARC ARC_05_ARC ARC_06_ARC ARC_07_ARC ARC_01_HYP ARC_02_HYP ARC_03_HYP ARC_04_HYP ARC_05_HYP ARC_06_HYP ARC
108: Convert_csv_to_arff on data 107
376 lines
format: text, database: ?
@relation dataset_10880.dat
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
109: train_neg_removed
289.1 KB
An error occurred running this job:
---Registering Weka Editors---
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
110: Convert_csv_to_arff on data 106
1,033 lines
format: text, database: ?
@relation dataset_10879.dat
@attribute Row numeric
@attribute NEG_01_NEG numeric
@attribute NEG_02_NEG numeric
@attribute NEG_03_NEG numeric
111: wekatool on data 110
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format: model, database: ?
binary file
112: wekatool on data 110
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format: txt, database: ?
The word weights for each class are:
------------------------------------
Inactive Active
Row -1.0925902134901683E-4 -1.6904115303000507E-4
NEG_01_NEG -20.327982149409916 -19.428642709099638
113: wekatool on data 110
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format: model, database: ?
binary file
114: wekatool on data 110
200 lines
format: txt, database: ?
The independent probability of a class
--------------------------------------
Inactive 0.8426453819840365
Active 0.1573546180159635
115: wekatool on data 110
318 lines
format: model, database: ?
binary file
116: wekatool on data 110
200 lines
format: txt, database: ?
The independent probability of a class
--------------------------------------
Inactive 0.8426453819840365
Active 0.1573546180159635
117: wekatool on data 110
32.0 KB
An error occurred running this job:
java.lang.Exception: attribute NEG_01_NEG: standard deviation is 0 for class Active
at weka.classifiers.bayes.NaiveBayesSimple.buildClassifier(NaiveBayesSimple.java:272)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at weka.classi
118: wekatool on data 110
0 bytes
An error occurred running this job:
java.lang.Exception: attribute NEG_01_NEG: standard deviation is 0 for class Active
at weka.classifiers.bayes.NaiveBayesSimple.buildClassifier(NaiveBayesSimple.java:272)
at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1076)
at weka.classi
119: wekatool on data 110
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format: model, database: ?
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120: wekatool on data 110
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format: txt, database: ?
Naive Bayes Classifier
Class
Attribute Inactive Active
(0.84) (0.16)
121: wekatool on data 110
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122: wekatool on data 110
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format: txt, database: ?
Naive Bayes Classifier
Class
Attribute Inactive Active
(0.84) (0.16)
123: wekatool on data 3
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format: model, database: ?
binary file
124: wekatool on data 3
47 lines
format: txt, database: ?
Options: -cost-matrix "[0 1;1 0;]" -W weka.classifiers.trees.RandomForest
CostSensitiveClassifier using reweighted training instances
weka.classifiers.trees.RandomForest -I 10 -K 0 -S 1
125: wekatool on data 3
938 lines
format: model, database: ?
binary file
126: wekatool on data 3
209 lines
format: txt, database: ?
Options: -cost-matrix "[0 1;1 0;]" -W weka.classifiers.functions.SMO -- -M
CostSensitiveClassifier using reweighted training instances
weka.classifiers.functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -M -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
127: wekatool on data 3
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128: wekatool on data 3
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Options: -cost-matrix "[0 1;0 0;]" -W weka.classifiers.trees.LMT
CostSensitiveClassifier using reweighted training instances
weka.classifiers.trees.LMT -I -1 -M 15 -W 0.0
129: wekatool on data 3
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130: wekatool on data 3
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Options: -cost-matrix "[0 0;1 0;]" -W weka.classifiers.trees.RandomForest
CostSensitiveClassifier using reweighted training instances
weka.classifiers.trees.RandomForest -I 10 -K 0 -S 1
131: arfftocsv
876 lines
format: txt, database: ?
Row,NEG_01_NEG,NEG_02_NEG,NEG_03_NEG,NEG_04_NEG,NEG_05_NEG,NEG_06_NEG,NEG_07_NEG,NEG_01_POS,NEG_02_POS,NEG_03_POS,NEG_04_POS,NEG_05_POS,NEG_06_POS,NEG_07_POS,NEG_01_HBD,NEG_02_HBD,NEG_03_HBD,NEG_04_HBD,NEG_05_HBD,NEG_06_HBD,NEG_07_HBD,NEG_01_HBA,NEG_02_HBA
,NEG_03_HBA,NEG_04_HBA,NEG_05_HBA,NEG_06_HBA,NEG_07_HBA,NEG_01_ARC,NEG_02_ARC,NEG_03_ARC,NEG_04_ARC,NEG_05_ARC,NEG_06_ARC,NEG_07_ARC,NEG_01_HYP,NEG_02_HYP,NEG_03_HYP,NEG_04_HYP,NEG_05_HYP,NEG_06_HYP,NEG_07_HYP,POS_01_POS,POS_02_POS,POS_03_POS,POS_04_POS,PO
S_05_POS,POS_06_POS,POS_07_POS,POS_01_HBD,POS_02_HBD,POS_03_HBD,POS_04_HBD,POS_05_HBD,POS_06_HBD,POS_07_HBD,POS_01_HBA,POS_02_HBA,POS_03_HBA,POS_04_HBA,POS_05_HBA,POS_06_HBA,POS_07_HBA,POS_01_ARC,POS_02_ARC,POS_03_ARC,POS_04_ARC,POS_05_ARC,POS_06_ARC,POS_0
7_ARC,POS_01_HYP,POS_02_HYP,POS_03_HYP,POS_04_HYP,POS_05_HYP,POS_06_HYP,POS_07_HYP,HBD_01_HBD,HBD_02_HBD,HBD_03_HBD,HBD_04_HBD,HBD_05_HBD,HBD_06_HBD,HBD_07_HBD,HBD_01_HBA,HBD_02_HBA,HBD_03_HBA,HBD_04_HBA,HBD_05_HBA,HBD_06_HBA,HBD_07_HBA,HBD_01_ARC,HBD_02_A
RC,HBD_03_ARC,HBD_04_ARC,HBD_05_ARC,HBD_06_ARC,HBD_07_ARC,HBD_01_HYP,HBD_02_HYP,HBD_03_HYP,HBD_04_HYP,HBD_05_HYP,HBD_06_HYP,HBD_07_HYP,HBA_01_HBA,HBA_02_HBA,HBA_03_HBA,HBA_04_HBA,HBA_05_HBA,HBA_06_HBA,HBA_07_HBA,HBA_01_ARC,HBA_02_ARC,HBA_03_ARC,HBA_04_ARC,
HBA_05_ARC,HBA_06_ARC,HBA_07_ARC,HBA_01_HYP,HBA_02_HYP,HBA_03_HYP,HBA_04_HYP,HBA_05_HYP,HBA_06_HYP,HBA_07_HYP,ARC_01_ARC,ARC_02_ARC,ARC_03_ARC,ARC_04_ARC,ARC_05_ARC,ARC_06_ARC,ARC_07_ARC,ARC_01_HYP,ARC_02_HYP,ARC_03_HYP,ARC_04_HYP,ARC_05_HYP,ARC_06_HYP,ARC
132: test_test
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format: model, database: ?
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133: test_test
18 lines
format: text, database: ?
Random forest of 10 trees, each constructed while considering 8 random features.
Out of bag error: 0.1451
135: wekatool on data 3
1.3 MB
An error occurred running this job:
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
---Registering Weka Editors---
Exception in thread "main" java.awt.AWTError: Can't connect to X11 window server using 'localhost:13.0' as the value of the DISPLAY variable.
136: wekatool on data 3
0 bytes
An error occurred running this job:
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
---Registering Weka Editors---
Exception in thread "main" java.awt.AWTError: Can't connect to X11 window server using 'localhost:13.0' as the value of the DISPLAY variable.
137: imported SMILES file
1 line
format: smi, database: ?
C(C=CC1)=C(C=1)C(C=CC2)=CC=2
138: imported mol file
15 lines
format: mol, database: ?
JSDraw08041609162D
6 6 0 0 0 0 0 0 0 0 1 V2000
10.9720 -10.2960 0.0000 C 0 0
9.6210 -9.5160 0.0000 C 0 0
139: Database Id Search
2.0 KB
format: html, database: ?
HTML file
140: imported mol file
15 lines
format: mol, database: ?
JSDraw08121609492D
6 6 0 0 0 0 0 0 0 0 1 V2000
8.9960 -6.7080 0.0000 C 0 0
7.6450 -5.9280 0.0000 C 0 0
141: imported SMILES file
empty
format: smi, database: ?
142: imported SMILES file
1 line
format: smi, database: ?
C(CC1)CC1
143: 3D Visualization on data 142
997 bytes
format: html, database: ?
HTML file