Run
61893

Run 61893

Task 1764 (Learning Curve) electricity 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
0.9686 ± 0.002
Per class
Build CPU time
45.2306
Build memory
3157333556.76
F measure
0.9224 ± 0.0029
Per class
Kappa
0.8411 ± 0.0058
KB relative information score
0.8371 ± 0.0058
Mean absolute error
0.0789 ± 0.0028
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9224 ± 0.0029
Per class
Predictive accuracy
0.9224 ± 0.0029
Prior entropy
0.9835 ± 0
Recall
0.9224 ± 0.0029
Per class
Relative absolute error
0.1616 ± 0.0057
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.262 ± 0.0052
Root relative squared error
0.5301 ± 0.0106
SciMark benchmark
1613.7772