DEVELOPMENT... OpenML
Run
23140

Run 23140

Task 49 (Supervised Classification) tic-tac-toe Uploaded 24-06-2014 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)_I40
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
0.9816
Per class
F measure
0.9822
Per class
Kappa
0.9606
KB relative information score
918.3829
Mean absolute error
0.0179
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
0.9823
Per class
Predictive accuracy
0.9823
Prior entropy
0.9312
Recall
0.9823
Per class
Relative absolute error
0.0395
Root mean prior squared error
0.4759
Root mean squared error
0.1333
Root relative squared error
0.28
SciMark benchmark
911.8443[383.518182526651971015.2555990998168483.88543266528814910.85475360997441765.707548606275]

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