Run
9018

Run 9018

Task 51 (Supervised Classification) trains 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.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I30
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
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

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
0.12
Per class
F measure
0.2308
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.4
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2.0609
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5826
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.1875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.3
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1651
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1876
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.5342[562.65828827718581015.2555353338006483.88543266528814910.85475360997441760.017229859821]