DEVELOPMENT... OpenML
Run
162749

Run 162749

Task 3668 (Supervised Classification) delta_ailerons Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9628
Per class
F measure
0.9371
Per class
Kappa
0.8736
KB relative information score
6225.7482
Mean absolute error
0.063
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
0.9374
Per class
Predictive accuracy
0.9372
Prior entropy
0.9973
Recall
0.9372
Per class
Relative absolute error
0.1265
Root mean prior squared error
0.4991
Root mean squared error
0.2506
Root relative squared error
0.5021
SciMark benchmark
922.9039
UserCPU time millis
230
UserCPU time millis testing
10
UserCPU time millis training
220