Run
59610

Run 59610

Task 1757 (Learning Curve) waveform-5000 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
0.7991 ± 0.0172
Per class
Build CPU time
0.977
Build memory
1239350782.7429
F measure
0.7322 ± 0.023
Per class
Kappa
0.5983 ± 0.0345
KB relative information score
0.6332 ± 0.0315
Mean absolute error
0.1787 ± 0.0153
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7323 ± 0.0228
Per class
Predictive accuracy
0.7322 ± 0.023
Prior entropy
1.5849 ± 0
Recall
0.7322 ± 0.023
Per class
Relative absolute error
0.4021 ± 0.0345
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4224 ± 0.0185
Root relative squared error
0.8961 ± 0.0393
SciMark benchmark
947.0414