Run
51647

Run 51647

Task 1730 (Learning Curve) credit-g 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
0.6392 ± 0.0672
Per class
Build CPU time
0.0028
Build memory
632663024.0889
F measure
0.6964 ± 0.0436
Per class
Kappa
0.2679 ± 0.1077
KB relative information score
0.2268 ± 0.1086
Mean absolute error
0.3037 ± 0.0422
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6931 ± 0.0465
Per class
Predictive accuracy
0.701 ± 0.042
Prior entropy
0.8813
Recall
0.701 ± 0.042
Per class
Relative absolute error
0.7227 ± 0.1003
Root mean prior squared error
0.4583
Root mean squared error
0.5374 ± 0.0455
Root relative squared error
1.1728 ± 0.0993
SciMark benchmark
948.877