DEVELOPMENT... OpenML
Run
38187

Run 38187

Task 4313 (Supervised Classification) fri_c4_500_100 Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9321
Per class
Build CPU time
6.2412
Build memory
895944622.16
F measure
0.884
Per class
Kappa
0.7632
KB relative information score
3794.1588
Mean absolute error
0.1179
Mean prior absolute error
0.4913
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
0.8845
Per class
Predictive accuracy
0.8844
Prior entropy
0.9875
Recall
0.8844
Per class
Relative absolute error
0.24
Root mean prior squared error
0.4956
Root mean squared error
0.331
Root relative squared error
0.6678
SciMark benchmark
938.4414