DEVELOPMENT... OpenML
Run
41020

Run 41020

Task 4303 (Supervised Classification) fri_c0_250_50 Uploaded 29-10-2014 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)_I80
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
0.8386
Per class
Build CPU time
5.3363
Build memory
1743905147.92
F measure
0.814
Per class
Kappa
0.6264
KB relative information score
1562.8077
Mean absolute error
0.1864
Mean prior absolute error
0.498
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.814
Per class
Predictive accuracy
0.814
Prior entropy
0.9971
Recall
0.814
Per class
Relative absolute error
0.3743
Root mean prior squared error
0.499
Root mean squared error
0.4275
Root relative squared error
0.8568
SciMark benchmark
939.7104