DEVELOPMENT... OpenML
Run
35792

Run 35792

Task 4448 (Supervised Classification) fri_c2_500_25 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)_I10
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
0.9377
Per class
Build CPU time
0.594
Build memory
818202715.12
F measure
0.8714
Per class
Kappa
0.729
KB relative information score
3637.0411
Mean absolute error
0.1273
Mean prior absolute error
0.4768
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
0.8717
Per class
Predictive accuracy
0.8722
Prior entropy
0.9664
Recall
0.8722
Per class
Relative absolute error
0.2669
Root mean prior squared error
0.4882
Root mean squared error
0.3386
Root relative squared error
0.6936
SciMark benchmark
941.5665