DEVELOPMENT... OpenML
Run
38522

Run 38522

Task 4351 (Supervised Classification) rabe_265 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
0.6496
Per class
Build CPU time
0.0319
Build memory
31400959.1529
F measure
0.6353
Per class
Kappa
0.2442
KB relative information score
111.8936
Mean absolute error
0.3756
Mean prior absolute error
0.485
Number of instances
510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6342
Per class
Predictive accuracy
0.6373
Prior entropy
0.9791
Recall
0.6373
Per class
Relative absolute error
0.7744
Root mean prior squared error
0.4922
Root mean squared error
0.5679
Root relative squared error
1.1539
SciMark benchmark
945.8914