Run
59541

Run 59541

Task 1722 (Learning Curve) cmc 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
0.5701 ± 0.0176
Per class
Build CPU time
0.4834
Build memory
1152630784.48
F measure
0.4398 ± 0.0229
Per class
Kappa
0.1347 ± 0.0357
KB relative information score
0.2001 ± 0.0329
Mean absolute error
0.3737 ± 0.0161
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4414 ± 0.0229
Per class
Predictive accuracy
0.4386 ± 0.0239
Prior entropy
1.539 ± 0.0029
Recall
0.4386 ± 0.0239
Per class
Relative absolute error
0.8673 ± 0.0379
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.6092 ± 0.014
Root relative squared error
1.3126 ± 0.0308
SciMark benchmark
947.0414