Run
46802

Run 46802

Task 1722 (Learning Curve) cmc Uploaded 04-11-2014 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_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_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
0.6324 ± 0.0191
Per class
Build CPU time
0.0152
Build memory
652477386.4
F measure
0.4728 ± 0.0263
Per class
Kappa
0.1828 ± 0.0415
KB relative information score
0.25 ± 0.0359
Mean absolute error
0.3492 ± 0.0182
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4715 ± 0.0256
Per class
Predictive accuracy
0.4745 ± 0.0294
Prior entropy
1.539 ± 0.0029
Recall
0.4745 ± 0.0294
Per class
Relative absolute error
0.8105 ± 0.0426
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5757 ± 0.0147
Root relative squared error
1.2404 ± 0.0321
SciMark benchmark
1495.1153