DEVELOPMENT... OpenML
Run
44487

Run 44487

Task 4467 (Supervised Classification) analcatdata_negotiation 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
0.8105
Per class
Build CPU time
0.2795
Build memory
843783359.513
F measure
0.8257
Per class
Kappa
0.5719
KB relative information score
488.8583
Mean absolute error
0.1747
Mean prior absolute error
0.4075
Number of instances
920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8265
Per class
Predictive accuracy
0.825
Prior entropy
0.8651
Recall
0.825
Per class
Relative absolute error
0.4286
Root mean prior squared error
0.4503
Root mean squared error
0.4143
Root relative squared error
0.92
SciMark benchmark
947.0987