DEVELOPMENT... OpenML
Run
38198

Run 38198

Task 4321 (Supervised Classification) pm10 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)_I20
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
0.6116
Per class
Build CPU time
0.3835
Build memory
922457195.76
F measure
0.5808
Per class
Kappa
0.162
KB relative information score
786.8305
Mean absolute error
0.4224
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
0.5815
Per class
Predictive accuracy
0.5816
Prior entropy
0.9998
Recall
0.5816
Per class
Relative absolute error
0.845
Root mean prior squared error
0.4999
Root mean squared error
0.5865
Root relative squared error
1.1732
SciMark benchmark
938.4414