DEVELOPMENT... OpenML
Run
39763

Run 39763

Task 3807 (Supervised Classification) echoMonths 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
0.7944
Per class
Build CPU time
0.1542
Build memory
883506682.4
F measure
0.7681
Per class
Kappa
0.5375
KB relative information score
69.27
Mean absolute error
0.2341
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7729
Per class
Predictive accuracy
0.7692
Prior entropy
0.9998
Recall
0.7692
Per class
Relative absolute error
0.4683
Root mean prior squared error
0.4999
Root mean squared error
0.4808
Root relative squared error
0.9616
SciMark benchmark
938.0657