Run
46800

Run 46800

Task 1721 (Learning Curve) mfeat-zernike 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
0.7892 ± 0.0108
Per class
Build CPU time
0.0099
Build memory
930250681.1636
F measure
0.624 ± 0.0185
Per class
Kappa
0.5783 ± 0.0215
KB relative information score
0.6031 ± 0.0202
Mean absolute error
0.0759 ± 0.0039
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
0.6284 ± 0.0203
Per class
Predictive accuracy
0.6205 ± 0.0194
Prior entropy
3.3219
Recall
0.6205 ± 0.0194
Per class
Relative absolute error
0.4217 ± 0.0215
Root mean prior squared error
0.3
Root mean squared error
0.2755 ± 0.007
Root relative squared error
0.9183 ± 0.0234
SciMark benchmark
1591.1066