DEVELOPMENT... OpenML
Run
37957

Run 37957

Task 3762 (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)_I20
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
0.8094
Per class
Build CPU time
0.0342
Build memory
757386205.0435
F measure
0.7946
Per class
Kappa
0.4965
KB relative information score
41.9366
Mean absolute error
0.2023
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.796
Per class
Predictive accuracy
0.7935
Prior entropy
0.8651
Recall
0.7935
Per class
Relative absolute error
0.4965
Root mean prior squared error
0.4503
Root mean squared error
0.4464
Root relative squared error
0.9914
SciMark benchmark
939.9671