DEVELOPMENT... OpenML
Run
40865

Run 40865

Task 3754 (Supervised Classification) sleuth_case1202 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
0.7961
Per class
Build CPU time
0.1622
Build memory
791455480.9462
F measure
0.8065
Per class
Kappa
0.5921
KB relative information score
54.1758
Mean absolute error
0.1935
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8065
Per class
Predictive accuracy
0.8065
Prior entropy
0.9645
Recall
0.8065
Per class
Relative absolute error
0.4074
Root mean prior squared error
0.4871
Root mean squared error
0.4399
Root relative squared error
0.9032
SciMark benchmark
945.9825