Run
46784

Run 46784

Task 2098 (Learning Curve) abalone Uploaded 04-11-2014 by Jan van Rijn
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  • 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.

19 Evaluation measures

Area under ROC curve
0.5452 ± 0.0075
Per class
Build CPU time
0.0124
Build memory
265941241.9077
Kappa
0.0909 ± 0.0152
KB relative information score
0.1377 ± 0.0156
Mean absolute error
0.0562 ± 0.001
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1858 ± 0.0139
Prior entropy
3.6031 ± 0.0188
Recall
0.1858 ± 0.0139
Per class
Relative absolute error
0.909 ± 0.0159
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.2369 ± 0.002
Root relative squared error
1.348 ± 0.0113
SciMark benchmark
1760.8328