DEVELOPMENT... OpenML
Run
44017

Run 44017

Task 4618 (Supervised Classification) kc2 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
0.7345
Per class
Build CPU time
6.4152
Build memory
1444668971.0927
F measure
0.8173
Per class
Kappa
0.4151
KB relative information score
1990.4723
Mean absolute error
0.1728
Mean prior absolute error
0.3266
Number of instances
5220
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8134
Per class
Predictive accuracy
0.8268
Prior entropy
0.734
Recall
0.8268
Per class
Relative absolute error
0.529
Root mean prior squared error
0.4037
Root mean squared error
0.4065
Root relative squared error
1.007
SciMark benchmark
941.9633