DEVELOPMENT... OpenML
Run
39416

Run 39416

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)_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
0.9127
Per class
Build CPU time
69.2748
Build memory
952852107.8531
F measure
0.8455
Per class
Kappa
0.627
KB relative information score
104900.3924
Mean absolute error
0.148
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
0.855
Per class
Predictive accuracy
0.8533
Prior entropy
0.8921
Recall
0.8533
Per class
Relative absolute error
0.3466
Root mean prior squared error
0.4621
Root mean squared error
0.3618
Root relative squared error
0.7828
SciMark benchmark
909.9339