Run
51626

Run 51626

Task 2097 (Learning Curve) satimage Uploaded 06-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9101 ± 0.0051
Per class
Build CPU time
0.0235
Build memory
708228778.9143
F measure
0.8518 ± 0.0085
Per class
Kappa
0.8162 ± 0.0101
KB relative information score
0.8232 ± 0.0096
Mean absolute error
0.0497 ± 0.0027
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8527 ± 0.0093
Per class
Predictive accuracy
0.851 ± 0.0082
Prior entropy
2.4834 ± 0.0009
Recall
0.851 ± 0.0082
Per class
Relative absolute error
0.1839 ± 0.0101
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2229 ± 0.0061
Root relative squared error
0.6064 ± 0.0166
SciMark benchmark
948.877