DEVELOPMENT... OpenML
Run
35837

Run 35837

Task 4416 (Supervised Classification) elevators 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)_I10
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
0.8576
Per class
Build CPU time
19.2881
Build memory
852035589.5618
F measure
0.8097
Per class
Kappa
0.5389
KB relative information score
92008.8032
Mean absolute error
0.1792
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
0.8222
Per class
Predictive accuracy
0.8219
Prior entropy
0.8921
Recall
0.8219
Per class
Relative absolute error
0.4196
Root mean prior squared error
0.4621
Root mean squared error
0.405
Root relative squared error
0.8764
SciMark benchmark
931.9798