Run
61733

Run 61733

Task 1719 (Learning Curve) mfeat-pixel 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
0.9945 ± 0.0044
Per class
Build CPU time
53.5979
Build memory
1915027440.1455
F measure
0.9426 ± 0.0159
Per class
Kappa
0.9361 ± 0.0176
KB relative information score
0.9433 ± 0.0135
Mean absolute error
0.0118 ± 0.0029
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.943 ± 0.0161
Per class
Predictive accuracy
0.9425 ± 0.0159
Prior entropy
3.3219
Recall
0.9425 ± 0.0159
Per class
Relative absolute error
0.0656 ± 0.0158
Root mean prior squared error
0.3
Root mean squared error
0.0991 ± 0.0125
Root relative squared error
0.3302 ± 0.0416
SciMark benchmark
1618.5838