Run
61505

Run 61505

Task 1748 (Learning Curve) tic-tac-toe Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9913 ± 0.0122
Per class
Build CPU time
0.2853
Build memory
1029983968.0889
F measure
0.9759 ± 0.0199
Per class
Kappa
0.9468 ± 0.0444
KB relative information score
0.9423 ± 0.0384
Mean absolute error
0.0253 ± 0.0167
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.976 ± 0.0192
Per class
Predictive accuracy
0.976 ± 0.0197
Prior entropy
0.931 ± 0.0039
Recall
0.976 ± 0.0197
Per class
Relative absolute error
0.0559 ± 0.0367
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.142 ± 0.0625
Root relative squared error
0.2985 ± 0.1312
SciMark benchmark
1592.7924