DEVELOPMENT... OpenML
Run
163876

Run 163876

Task 43 (Supervised Classification) spambase Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9675
Per class
F measure
0.9164
Per class
Kappa
0.8241
KB relative information score
3739.0799
Mean absolute error
0.089
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
0.9172
Per class
Predictive accuracy
0.917
Prior entropy
0.9674
Recall
0.917
Per class
Relative absolute error
0.1863
Root mean prior squared error
0.4886
Root mean squared error
0.2707
Root relative squared error
0.5541
SciMark benchmark
938.4278
UserCPU time millis
4120
UserCPU time millis testing
20
UserCPU time millis training
4100