DEVELOPMENT... OpenML
Run
162403

Run 162403

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)_I20
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
0.9492
Per class
F measure
0.8881
Per class
Kappa
0.7653
KB relative information score
3414.9671
Mean absolute error
0.1223
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
0.888
Per class
Predictive accuracy
0.8883
Prior entropy
0.9674
Recall
0.8883
Per class
Relative absolute error
0.2561
Root mean prior squared error
0.4886
Root mean squared error
0.3096
Root relative squared error
0.6336
SciMark benchmark
939.7623
UserCPU time millis
1080
UserCPU time millis testing
10
UserCPU time millis training
1070