DEVELOPMENT... OpenML
Run
44376

Run 44376

Task 3672 (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
0.9138
Per class
Build CPU time
68.5828
Build memory
177801068.2217
F measure
0.823
Per class
Kappa
0.646
KB relative information score
5219.6269
Mean absolute error
0.1823
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
0.8233
Per class
Predictive accuracy
0.823
Prior entropy
0.9998
Recall
0.823
Per class
Relative absolute error
0.3648
Root mean prior squared error
0.4999
Root mean squared error
0.3882
Root relative squared error
0.7765
SciMark benchmark
944.0386