Run
52266

Run 52266

Task 1748 (Learning Curve) tic-tac-toe Uploaded 07-11-2014 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.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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
0.9624 ± 0.0218
Per class
Build CPU time
0.0041
Build memory
406401252.3556
F measure
0.9289 ± 0.0221
Per class
Kappa
0.8412 ± 0.0493
KB relative information score
0.8432 ± 0.0457
Mean absolute error
0.0678 ± 0.0197
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
0.9314 ± 0.0213
Per class
Predictive accuracy
0.9301 ± 0.0215
Prior entropy
0.931 ± 0.0039
Recall
0.9301 ± 0.0215
Per class
Relative absolute error
0.1498 ± 0.0433
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2484 ± 0.0428
Root relative squared error
0.522 ± 0.0897
SciMark benchmark
1853.1129