DEVELOPMENT... OpenML
Run
39142

Run 39142

Task 3672 (Supervised Classification) kin8nm 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
0.8807
Per class
Build CPU time
14.7113
Build memory
82585265.8604
F measure
0.7854
Per class
Kappa
0.5711
KB relative information score
4618.0594
Mean absolute error
0.2189
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7863
Per class
Predictive accuracy
0.7854
Prior entropy
0.9998
Recall
0.7854
Per class
Relative absolute error
0.4379
Root mean prior squared error
0.4999
Root mean squared error
0.4288
Root relative squared error
0.8577
SciMark benchmark
941.2105