Run
61496

Run 61496

Task 1740 (Learning Curve) soybean 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.

21 Evaluation measures

Area under ROC curve
0.9897 ± 0.0091
Per class
Build CPU time
1.6638
Build memory
2124827875.1
F measure
0.9335 ± 0.0259
Per class
Kappa
0.9278 ± 0.0266
KB relative information score
0.9395 ± 0.0209
Mean absolute error
0.0072 ± 0.0026
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9344 ± 0.024
Per class
Predictive accuracy
0.9341 ± 0.0243
Prior entropy
3.8358 ± 0.0227
Recall
0.9341 ± 0.0243
Per class
Relative absolute error
0.0744 ± 0.0273
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0813 ± 0.0162
Root relative squared error
0.3711 ± 0.0739
SciMark benchmark
1567.5641