DEVELOPMENT... OpenML
Run
37414

Run 37414

Task 4443 (Supervised Classification) rabe_131 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
0.9751
Per class
Build CPU time
0.0019
Build memory
80578938.64
F measure
0.984
Per class
Kappa
0.967
KB relative information score
474.8938
Mean absolute error
0.0266
Mean prior absolute error
0.4877
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9844
Per class
Predictive accuracy
0.984
Prior entropy
0.9829
Recall
0.984
Per class
Relative absolute error
0.0546
Root mean prior squared error
0.4936
Root mean squared error
0.1258
Root relative squared error
0.2549
SciMark benchmark
946.7854