DEVELOPMENT... OpenML
Run
20721

Run 20721

Task 49 (Supervised Classification) tic-tac-toe Uploaded 18-06-2014 by Felicia West
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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)_I160
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
0.9925
Per class
F measure
0.9927
Per class
Kappa
0.9838
KB relative information score
941.6481
Mean absolute error
0.0073
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
0.9928
Per class
Predictive accuracy
0.9927
Prior entropy
0.9312
Recall
0.9927
Per class
Relative absolute error
0.0161
Root mean prior squared error
0.4759
Root mean squared error
0.0851
Root relative squared error
0.1788
SciMark benchmark
920.7581[559.23073532101811013.919993711725483.8854846559526899.29332223166991647.461007259384]