DEVELOPMENT... OpenML
Run
37030

Run 37030

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.9273
Per class
Build CPU time
0.1583
Build memory
1195646294.4
F measure
0.9001
Per class
Kappa
0.7969
KB relative information score
196.0682
Mean absolute error
0.1058
Mean prior absolute error
0.4919
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9001
Per class
Predictive accuracy
0.9
Prior entropy
0.9883
Recall
0.9
Per class
Relative absolute error
0.2151
Root mean prior squared error
0.4959
Root mean squared error
0.3125
Root relative squared error
0.6303
SciMark benchmark
944.0386