Run
61488

Run 61488

Task 2098 (Learning Curve) abalone Uploaded 16-11-2014 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_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

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
0.6875 ± 0.0182
Per class
Build CPU time
7.5435
Build memory
1822111992.4308
Kappa
0.1394 ± 0.0258
KB relative information score
0.0943 ± 0.0094
Mean absolute error
0.0628 ± 0.0003
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
0.2406 ± 0.0238
Prior entropy
3.6031 ± 0.0188
Recall
0.2406 ± 0.0238
Per class
Relative absolute error
1.0156 ± 0.0057
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1763 ± 0.0009
Root relative squared error
1.0031 ± 0.005
SciMark benchmark
1591.1714