Run
61482

Run 61482

Task 1721 (Learning Curve) mfeat-zernike 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
0.9493 ± 0.0073
Per class
Build CPU time
2.3088
Build memory
2034504234.9818
F measure
0.7472 ± 0.0186
Per class
Kappa
0.72 ± 0.0224
KB relative information score
0.7463 ± 0.0205
Mean absolute error
0.0513 ± 0.0041
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
0.7481 ± 0.0159
Per class
Predictive accuracy
0.748 ± 0.0202
Prior entropy
3.3219
Recall
0.748 ± 0.0202
Per class
Relative absolute error
0.2852 ± 0.0229
Root mean prior squared error
0.3
Root mean squared error
0.211 ± 0.0087
Root relative squared error
0.7032 ± 0.0289
SciMark benchmark
1707.2836