Run
6433

Run 6433

Task 26 (Supervised Classification) nursery Uploaded 15-05-2014 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
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8903
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6676.3405
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1647
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.8799
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6504
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.3577[563.38522762117461014.1868590421574483.8854846559526909.2750179897271756.0557934247322]