DEVELOPMENT... OpenML
Run
44619

Run 44619

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 30-10-2014 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
0.8839
Per class
Build CPU time
8.8161
Build memory
1821853428.8
F measure
0.8801
Per class
Kappa
0.756
KB relative information score
187.4045
Mean absolute error
0.122
Mean prior absolute error
0.4908
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
0.8804
Per class
Predictive accuracy
0.88
Prior entropy
0.9868
Recall
0.88
Per class
Relative absolute error
0.2486
Root mean prior squared error
0.4954
Root mean squared error
0.3454
Root relative squared error
0.6973
SciMark benchmark
944.7154