DEVELOPMENT... OpenML
Run
40328

Run 40328

Task 43 (Supervised Classification) spambase Uploaded 28-10-2014 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
0.9783
Per class
Build CPU time
97.1362
Build memory
919574136.5564
F measure
0.9445
Per class
Kappa
0.8836
KB relative information score
4052.3552
Mean absolute error
0.0559
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9445
Per class
Predictive accuracy
0.9446
Prior entropy
0.9674
Recall
0.9446
Per class
Relative absolute error
0.117
Root mean prior squared error
0.4886
Root mean squared error
0.2274
Root relative squared error
0.4654
SciMark benchmark
941.8931