DEVELOPMENT... OpenML
Run
37164

Run 37164

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)_I20
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
0.9766
Per class
Build CPU time
31.5572
Build memory
1100284180.02
F measure
0.9386
Per class
Kappa
0.8712
KB relative information score
3995.6864
Mean absolute error
0.0617
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
0.9386
Per class
Predictive accuracy
0.9387
Prior entropy
0.9674
Recall
0.9387
Per class
Relative absolute error
0.1293
Root mean prior squared error
0.4886
Root mean squared error
0.2401
Root relative squared error
0.4914
SciMark benchmark
944.2629