DEVELOPMENT... OpenML
Run
46297

Run 46297

Task 3504 (Supervised Classification) webdata_wXa Uploaded 31-10-2014 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)_I160
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
0.8838
Per class
Build CPU time
10556.3944
Build memory
162103960.5106
F measure
0.8208
Per class
Kappa
0.4898
KB relative information score
17536.5493
Mean absolute error
0.171
Mean prior absolute error
0.3648
Number of instances
36974
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8198
Per class
Predictive accuracy
0.8297
Prior entropy
0.7951
Recall
0.8297
Per class
Relative absolute error
0.4687
Root mean prior squared error
0.4271
Root mean squared error
0.391
Root relative squared error
0.9155
SciMark benchmark
945.8914