DEVELOPMENT... OpenML
Run
36290

Run 36290

Task 4288 (Supervised Classification) rmftsa_ladata 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
0.9388
Per class
Build CPU time
0.2447
Build memory
1573227611.4929
F measure
0.8839
Per class
Kappa
0.7637
KB relative information score
3854.9102
Mean absolute error
0.118
Mean prior absolute error
0.4921
Number of instances
5080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8839
Per class
Predictive accuracy
0.8841
Prior entropy
0.9886
Recall
0.8841
Per class
Relative absolute error
0.2398
Root mean prior squared error
0.496
Root mean squared error
0.3317
Root relative squared error
0.6687
SciMark benchmark
944.2629