Run
55337

Run 55337

Task 1748 (Learning Curve) tic-tac-toe Uploaded 10-11-2014 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.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.6495 ± 0.0421
Per class
Build CPU time
0.0011
Build memory
455495880.5333
F measure
0.7002 ± 0.036
Per class
Kappa
0.34 ± 0.0806
KB relative information score
0.1288 ± 0.0373
Mean absolute error
0.3999 ± 0.0121
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
0.7011 ± 0.0366
Per class
Predictive accuracy
0.6994 ± 0.037
Prior entropy
0.931 ± 0.0039
Recall
0.6994 ± 0.037
Per class
Relative absolute error
0.8827 ± 0.0269
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.448 ± 0.0142
Root relative squared error
0.9414 ± 0.0304
SciMark benchmark
1814.8577