DEVELOPMENT... OpenML
Run
44191

Run 44191

Task 4377 (Supervised Classification) kin8nm 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)_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
0.911
Per class
Build CPU time
66.8701
Build memory
437628971.4223
F measure
0.8171
Per class
Kappa
0.6342
KB relative information score
51543.2573
Mean absolute error
0.1861
Mean prior absolute error
0.4998
Number of instances
81920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8173
Per class
Predictive accuracy
0.8171
Prior entropy
0.9998
Recall
0.8171
Per class
Relative absolute error
0.3722
Root mean prior squared error
0.4999
Root mean squared error
0.3929
Root relative squared error
0.7859
SciMark benchmark
890.4487