DEVELOPMENT... OpenML
Run
35916

Run 35916

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)_I10
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
0.8469
Per class
Build CPU time
0.0174
Build memory
761151030.6522
F measure
0.8344
Per class
Kappa
0.5932
KB relative information score
510.6992
Mean absolute error
0.1653
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
0.8351
Per class
Predictive accuracy
0.8337
Prior entropy
0.8651
Recall
0.8337
Per class
Relative absolute error
0.4056
Root mean prior squared error
0.4503
Root mean squared error
0.3994
Root relative squared error
0.887
SciMark benchmark
942.0655