Run
52936

Run 52936

Task 1715 (Learning Curve) mfeat-karhunen 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.BFTree(2)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
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
0.9168 ± 0.0191
Per class
Build CPU time
0.4121
Build memory
1455392258.6909
F measure
0.8302 ± 0.0352
Per class
Kappa
0.8122 ± 0.0376
KB relative information score
0.815 ± 0.034
Mean absolute error
0.0392 ± 0.0062
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8306 ± 0.035
Per class
Predictive accuracy
0.831 ± 0.0338
Prior entropy
3.3219
Recall
0.831 ± 0.0338
Per class
Relative absolute error
0.2175 ± 0.0346
Root mean prior squared error
0.3
Root mean squared error
0.1754 ± 0.0184
Root relative squared error
0.5848 ± 0.0612
SciMark benchmark
1615.5755