DEVELOPMENT... OpenML
Run
15522

Run 15522

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

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I40
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9973
Per class
F measure
0.9906
Per class
Kappa
0.9792
KB relative information score
931.24
Mean absolute error
0.013
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
0.0286
Root mean prior squared error
0.4759
Root mean squared error
0.0905
Root relative squared error
0.1901
SciMark benchmark
944.4934[555.31379242088221011.7904963405887483.0147548568529914.03067367712611758.3172656914378]

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