DEVELOPMENT... OpenML
Run
15622

Run 15622

Task 49 (Supervised Classification) tic-tac-toe Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.9999
Per class
F measure
0.9906
Per class
Kappa
0.9791
KB relative information score
630.6758
Mean absolute error
0.1865
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
0.9907
Per class
Predictive accuracy
0.9906
Prior entropy
0.9312
Recall
0.9906
Per class
Relative absolute error
0.4116
Root mean prior squared error
0.4759
Root mean squared error
0.2264
Root relative squared error
0.4757
SciMark benchmark
917.1782[559.76915123019011011.5249537742577482.79753594534895899.60191115807121632.1976703336052]