DEVELOPMENT... OpenML
Run
44335

Run 44335

Task 4425 (Supervised Classification) fri_c4_500_10 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)_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
0.9115
Per class
Build CPU time
4.9576
Build memory
1242217303.76
F measure
0.8909
Per class
Kappa
0.7792
KB relative information score
3894.0433
Mean absolute error
0.1089
Mean prior absolute error
0.4946
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
0.8909
Per class
Predictive accuracy
0.891
Prior entropy
0.9922
Recall
0.891
Per class
Relative absolute error
0.2201
Root mean prior squared error
0.4973
Root mean squared error
0.326
Root relative squared error
0.6556
SciMark benchmark
945.0342