DEVELOPMENT... OpenML
Run
19102

Run 19102

Task 49 (Supervised Classification) tic-tac-toe Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I20
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9299
Per class
F measure
0.8558
Per class
Kappa
0.6779
KB relative information score
632.0632
Mean absolute error
0.151
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
0.8566
Per class
Predictive accuracy
0.858
Prior entropy
0.9312
Recall
0.858
Per class
Relative absolute error
0.3334
Root mean prior squared error
0.4759
Root mean squared error
0.333
Root relative squared error
0.6997
SciMark benchmark
937.82[547.81426873147531005.7176405886515477.6431293423355891.64624114952131766.2785639901995]