Run
23437

Run 23437

Task 49 (Supervised Classification) tic-tac-toe Uploaded 25-06-2014 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_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.9924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9815
Cross-validation details (10-fold Crossvalidation)
KB relative information score
938.9107
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0085
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
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
0.9917
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9916
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0189
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0902
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1895
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
880.8853[533.7333454133943914.9833042337897422.89949172150375906.44537908266061626.3648803425824]