Run
15415

Run 15415

Task 47 (Supervised Classification) tae Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
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
0.7017
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.543
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3146
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.0489
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3731
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
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
0.5432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.543
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8397
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4456
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9454
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.4638[559.76915123019011010.1992026725918469.08772734606856898.98487143916431739.2780735273252]