DEVELOPMENT... OpenML
Run
21181

Run 21181

Task 49 (Supervised Classification) tic-tac-toe Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I160
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9795
Per class
F measure
0.9843
Per class
Kappa
0.9652
KB relative information score
923.1963
Mean absolute error
0.0157
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
0.9844
Per class
Predictive accuracy
0.9843
Prior entropy
0.9312
Recall
0.9843
Per class
Relative absolute error
0.0346
Root mean prior squared error
0.4759
Root mean squared error
0.1251
Root relative squared error
0.2629
SciMark benchmark
927.0244[557.2654022646841985.9068457204271482.7975877024999887.42044799771161721.73185736295]