Run
23792

Run 23792

Task 49 (Supervised Classification) tic-tac-toe Uploaded 27-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I160
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.7924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7886
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
491.0386
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
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
0.7909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7871
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7871
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4687
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4399
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9245
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.8337[563.20332758402671012.8541257252805480.85168147774846896.83206520091841750.4272808716194]