Run
59532

Run 59532

Task 1711 (Learning Curve) mfeat-factors Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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
0.9795 ± 0.0052
Per class
Build CPU time
0.3723
Build memory
1126680199.0546
F measure
0.963 ± 0.0097
Per class
Kappa
0.9589 ± 0.0105
KB relative information score
0.9592 ± 0.0099
Mean absolute error
0.0084 ± 0.0019
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.963 ± 0.0096
Per class
Predictive accuracy
0.963 ± 0.0095
Prior entropy
3.3219
Recall
0.963 ± 0.0095
Per class
Relative absolute error
0.0464 ± 0.0105
Root mean prior squared error
0.3
Root mean squared error
0.0858 ± 0.0114
Root relative squared error
0.286 ± 0.0381
SciMark benchmark
947.0414