DEVELOPMENT... OpenML
Run
19548

Run 19548

Task 49 (Supervised Classification) tic-tac-toe Uploaded 16-06-2014 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)_I80
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
0.9864
Per class
F measure
0.9496
Per class
Kappa
0.8883
KB relative information score
846.1605
Mean absolute error
0.051
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
0.9498
Per class
Predictive accuracy
0.9499
Prior entropy
0.9312
Recall
0.9499
Per class
Relative absolute error
0.1125
Root mean prior squared error
0.4759
Root mean squared error
0.2099
Root relative squared error
0.4411
SciMark benchmark
883.9178[561.9331793020235985.4027110313101458.2765060687854882.04572420201981531.9307842007152]