DEVELOPMENT... OpenML
Run
41114

Run 41114

Task 4321 (Supervised Classification) pm10 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
0.631
Per class
Build CPU time
1.2171
Build memory
1142209410.8
F measure
0.5989
Per class
Kappa
0.1977
KB relative information score
966.2813
Mean absolute error
0.4036
Mean prior absolute error
0.4999
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
0.5991
Per class
Predictive accuracy
0.5992
Prior entropy
0.9998
Recall
0.5992
Per class
Relative absolute error
0.8074
Root mean prior squared error
0.4999
Root mean squared error
0.5989
Root relative squared error
1.1979
SciMark benchmark
944.5683