DEVELOPMENT... OpenML
Run
35886

Run 35886

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.9313
Per class
Build CPU time
0.1145
Build memory
557662383.2
F measure
0.8946
Per class
Kappa
0.77
KB relative information score
189.55
Mean absolute error
0.1082
Mean prior absolute error
0.4633
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
0.8963
Per class
Predictive accuracy
0.896
Prior entropy
0.9468
Recall
0.896
Per class
Relative absolute error
0.2336
Root mean prior squared error
0.4812
Root mean squared error
0.3194
Root relative squared error
0.6638
SciMark benchmark
942.0655