DEVELOPMENT... OpenML
Run
39996

Run 39996

Task 4348 (Supervised Classification) sleuth_ex1714 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)_I40
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
0.9346
Per class
Build CPU time
0.0042
Build memory
1464694279.0979
F measure
0.8704
Per class
Kappa
0.7354
KB relative information score
310.3201
Mean absolute error
0.1735
Mean prior absolute error
0.4894
Number of instances
470
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8708
Per class
Predictive accuracy
0.8702
Prior entropy
0.9852
Recall
0.8702
Per class
Relative absolute error
0.3544
Root mean prior squared error
0.4944
Root mean squared error
0.3218
Root relative squared error
0.6508
SciMark benchmark
945.8425