DEVELOPMENT... OpenML
Run
18963

Run 18963

Task 49 (Supervised Classification) tic-tac-toe Uploaded 11-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I40
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
F measure
0.7886
Per class
Kappa
0.537
KB relative information score
491.0386
Mean absolute error
0.2123
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7909
Per class
Predictive accuracy
0.7871
Prior entropy
0.9312
Recall
0.7871
Per class
Relative absolute error
0.4687
Root mean prior squared error
0.4759
Root mean squared error
0.4399
Root relative squared error
0.9245
SciMark benchmark
926.5788[544.5646589471471991.9974325509459472.38971539770705896.21881802907471727.7232870185824]