DEVELOPMENT... OpenML
Run
44845

Run 44845

Task 4547 (Supervised Classification) waveform-5000 Uploaded 30-10-2014 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)_I160
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
0.945
Per class
Build CPU time
179.6992
Build memory
926720852
F measure
0.8879
Per class
Kappa
0.7487
KB relative information score
36893.6477
Mean absolute error
0.1123
Mean prior absolute error
0.4478
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8877
Per class
Predictive accuracy
0.8883
Prior entropy
0.9233
Recall
0.8883
Per class
Relative absolute error
0.2508
Root mean prior squared error
0.4732
Root mean squared error
0.3196
Root relative squared error
0.6753
SciMark benchmark
931.9798