DEVELOPMENT... OpenML
Run
44083

Run 44083

Task 3608 (Supervised Classification) fri_c4_500_100 Uploaded 29-10-2014 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
0.8949
Per class
Build CPU time
38.0131
Build memory
70484825.6
F measure
0.8894
Per class
Kappa
0.774
KB relative information score
387.2997
Mean absolute error
0.1098
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8909
Per class
Predictive accuracy
0.89
Prior entropy
0.9875
Recall
0.89
Per class
Relative absolute error
0.2235
Root mean prior squared error
0.4956
Root mean squared error
0.3293
Root relative squared error
0.6645
SciMark benchmark
934.1739