DEVELOPMENT... OpenML
Run
38235

Run 38235

Task 4581 (Supervised Classification) analcatdata_challenger 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
0.5341
Per class
Build CPU time
0.025
Build memory
1055479148.313
F measure
0.9022
Per class
Kappa
-0.0042
KB relative information score
268.599
Mean absolute error
0.0692
Mean prior absolute error
0.1273
Number of instances
1380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8737
Per class
Predictive accuracy
0.9326
Prior entropy
0.3712
Recall
0.9326
Per class
Relative absolute error
0.5439
Root mean prior squared error
0.247
Root mean squared error
0.2571
Root relative squared error
1.0408
SciMark benchmark
897.921