Run
54584

Run 54584

Task 1748 (Learning Curve) tic-tac-toe Uploaded 09-11-2014 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.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.9925 ± 0.0116
Per class
Build CPU time
0.3048
Build memory
3010611608.0889
F measure
0.977 ± 0.0138
Per class
Kappa
0.9492 ± 0.0304
KB relative information score
0.9417 ± 0.0342
Mean absolute error
0.0259 ± 0.0151
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.977 ± 0.0128
Per class
Predictive accuracy
0.977 ± 0.0137
Prior entropy
0.931 ± 0.0039
Recall
0.977 ± 0.0137
Per class
Relative absolute error
0.0572 ± 0.0333
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1434 ± 0.0559
Root relative squared error
0.3014 ± 0.1173
SciMark benchmark
1885.6155