Run
16914

Run 16914

Task 2 (Supervised Classification) anneal Uploaded 05-06-2014 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)_I40
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
0.9758
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
769.3981
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0177
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9499
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9499
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1314
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1205
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4667
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
577.6098[329.84882843576855903.8250635940675253.83967355990364497.23825522818225903.2969450690587]