Run
61457

Run 61457

Task 1702 (Learning Curve) kr-vs-kp 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
0.9977 ± 0.0027
Per class
Build CPU time
1.9074
Build memory
1959873758.7333
F measure
0.9959 ± 0.0036
Per class
Kappa
0.9918 ± 0.0073
KB relative information score
0.9917 ± 0.0073
Mean absolute error
0.0042 ± 0.0037
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9959 ± 0.0036
Per class
Predictive accuracy
0.9959 ± 0.0036
Prior entropy
0.9986 ± 0.0002
Recall
0.9959 ± 0.0036
Per class
Relative absolute error
0.0083 ± 0.0073
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0628 ± 0.0339
Root relative squared error
0.1257 ± 0.0679
SciMark benchmark
1618.5838