Run
51772

Run 51772

Task 2094 (Learning Curve) adult Uploaded 06-11-2014 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
0.7743 ± 0.0091
Per class
Build CPU time
0.306
Build memory
2346429336.96
F measure
0.8182 ± 0.0067
Per class
Kappa
0.4923 ± 0.0192
KB relative information score
0.4474 ± 0.0202
Mean absolute error
0.1785 ± 0.0065
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.816 ± 0.0068
Per class
Predictive accuracy
0.8216 ± 0.0066
Prior entropy
0.7938 ± 0.0002
Recall
0.8216 ± 0.0066
Per class
Relative absolute error
0.4903 ± 0.0178
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.4184 ± 0.0079
Root relative squared error
0.9806 ± 0.0185
SciMark benchmark
1624.8488