DEVELOPMENT... OpenML
Run
44806

Run 44806

Task 4297 (Supervised Classification) fri_c2_100_5 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
0.8427
Per class
Build CPU time
0.4027
Build memory
1653240975.28
F measure
0.8449
Per class
Kappa
0.6751
KB relative information score
675.0943
Mean absolute error
0.153
Mean prior absolute error
0.4804
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8454
Per class
Predictive accuracy
0.846
Prior entropy
0.9721
Recall
0.846
Per class
Relative absolute error
0.3185
Root mean prior squared error
0.4899
Root mean squared error
0.3865
Root relative squared error
0.789
SciMark benchmark
941.2105