Run
9095

Run 9095

Task 18 (Supervised Classification) mfeat-morphological Uploaded 22-05-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomSubSpace_REPTree(1)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
weka.RandomSubSpace_REPTree(1)_I10
weka.RandomSubSpace_REPTree(1)_P0.5
weka.RandomSubSpace_REPTree(1)_S1
weka.RandomSubSpace_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.RandomSubSpace_REPTree(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9585
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6856
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1390.742
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0872
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6964
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4843
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1959
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6532
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.7793[563.38522762117461015.52310425331483.2321174670136911.17132945493631760.5845701777503]