DEVELOPMENT... OpenML
Run
37240

Run 37240

Task 3896 (Supervised Classification) ada_agnostic 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
0.893
Per class
Build CPU time
20.4976
Build memory
81500833.4222
F measure
0.8413
Per class
Kappa
0.5635
KB relative information score
2440.4082
Mean absolute error
0.1561
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8402
Per class
Predictive accuracy
0.8463
Prior entropy
0.8085
Recall
0.8463
Per class
Relative absolute error
0.4182
Root mean prior squared error
0.4319
Root mean squared error
0.3719
Root relative squared error
0.8609
SciMark benchmark
941.4059