DEVELOPMENT... OpenML
Run
41133

Run 41133

Task 4582 (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)_I80
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
0.5027
Per class
Build CPU time
0.2211
Build memory
1107019965.8339
F measure
0.7168
Per class
Kappa
-0.008
KB relative information score
1760.3433
Mean absolute error
0.2093
Mean prior absolute error
0.3138
Number of instances
7970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6604
Per class
Predictive accuracy
0.8003
Prior entropy
0.7123
Recall
0.8003
Per class
Relative absolute error
0.667
Root mean prior squared error
0.3958
Root mean squared error
0.4416
Root relative squared error
1.1156
SciMark benchmark
944.5683