DEVELOPMENT... OpenML
Run
39526

Run 39526

Task 4266 (Supervised Classification) profb 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)_I40
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
0.6678
Per class
Build CPU time
0.6653
Build memory
808434541.8452
F measure
0.6472
Per class
Kappa
0.1832
KB relative information score
1440.1939
Mean absolute error
0.3337
Mean prior absolute error
0.4446
Number of instances
6720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6464
Per class
Predictive accuracy
0.6722
Prior entropy
0.9188
Recall
0.6722
Per class
Relative absolute error
0.7505
Root mean prior squared error
0.4714
Root mean squared error
0.5327
Root relative squared error
1.1301
SciMark benchmark
944.0892