DEVELOPMENT... OpenML
Run
44165

Run 44165

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.4949
Per class
Build CPU time
0.5533
Build memory
1425839032.4919
F measure
0.7166
Per class
Kappa
-0.0094
KB relative information score
167.2754
Mean absolute error
0.2123
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6697
Per class
Predictive accuracy
0.7967
Prior entropy
0.7123
Recall
0.7967
Per class
Relative absolute error
0.6766
Root mean prior squared error
0.3958
Root mean squared error
0.4438
Root relative squared error
1.1213
SciMark benchmark
941.9633