Run
51633

Run 51633

Task 1711 (Learning Curve) mfeat-factors 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
0.9114 ± 0.0164
Per class
Build CPU time
0.0143
Build memory
670825300.3636
F measure
0.841 ± 0.0301
Per class
Kappa
0.8228 ± 0.0328
KB relative information score
0.8332 ± 0.0308
Mean absolute error
0.0319 ± 0.0059
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
0.842 ± 0.0319
Per class
Predictive accuracy
0.8405 ± 0.0295
Prior entropy
3.3219
Recall
0.8405 ± 0.0295
Per class
Relative absolute error
0.1772 ± 0.0328
Root mean prior squared error
0.3
Root mean squared error
0.1786 ± 0.0162
Root relative squared error
0.5954 ± 0.0539
SciMark benchmark
948.877