DEVELOPMENT... OpenML
Run
39276

Run 39276

Task 4467 (Supervised Classification) analcatdata_negotiation 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
0.8173
Per class
Build CPU time
0.0738
Build memory
501878093.6696
F measure
0.8225
Per class
Kappa
0.5644
KB relative information score
480.5136
Mean absolute error
0.1776
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
0.8235
Per class
Predictive accuracy
0.8217
Prior entropy
0.8651
Recall
0.8217
Per class
Relative absolute error
0.4359
Root mean prior squared error
0.4503
Root mean squared error
0.4177
Root relative squared error
0.9276
SciMark benchmark
945.6653