DEVELOPMENT... OpenML
Run
40685

Run 40685

Task 4416 (Supervised Classification) elevators Uploaded 29-10-2014 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
0.927
Per class
Build CPU time
130.9804
Build memory
926542559.8854
F measure
0.867
Per class
Kappa
0.6803
KB relative information score
112333.9705
Mean absolute error
0.1304
Mean prior absolute error
0.4271
Number of instances
165990
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8734
Per class
Predictive accuracy
0.8723
Prior entropy
0.8921
Recall
0.8723
Per class
Relative absolute error
0.3054
Root mean prior squared error
0.4621
Root mean squared error
0.3362
Root relative squared error
0.7275
SciMark benchmark
934.1739