DEVELOPMENT... OpenML
Run
40525

Run 40525

Task 3668 (Supervised Classification) delta_ailerons 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)_I80
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
0.9747
Per class
Build CPU time
17.5187
Build memory
1411311795.6965
F measure
0.943
Per class
Kappa
0.8855
KB relative information score
6308.8451
Mean absolute error
0.0573
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9432
Per class
Predictive accuracy
0.9431
Prior entropy
0.9973
Recall
0.9431
Per class
Relative absolute error
0.1151
Root mean prior squared error
0.4991
Root mean squared error
0.2327
Root relative squared error
0.4663
SciMark benchmark
945.8425