DEVELOPMENT... OpenML
Run
36287

Run 36287

Task 4542 (Supervised Classification) hayes-roth 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
0.9221
Per class
Build CPU time
0.0328
Build memory
1573491625.5818
F measure
0.7968
Per class
Kappa
0.5688
KB relative information score
748.2557
Mean absolute error
0.2001
Mean prior absolute error
0.4746
Number of instances
1320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7967
Per class
Predictive accuracy
0.7985
Prior entropy
0.9635
Recall
0.7985
Per class
Relative absolute error
0.4217
Root mean prior squared error
0.4869
Root mean squared error
0.4229
Root relative squared error
0.8685
SciMark benchmark
944.2629