Run
23261

Run 23261

Task 49 (Supervised Classification) tic-tac-toe Uploaded 24-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_REPTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(1)_I160
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_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
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9885
Cross-validation details (10-fold Crossvalidation)
KB relative information score
947.302
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0046
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
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9948
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9948
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0102
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0643
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1352
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.7396[561.57132520995071011.2595505536781471.35288917392205886.52011659853681767.9939646936223]