DEVELOPMENT... OpenML
Run
161452

Run 161452

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)_I10
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
0.9025
Per class
F measure
0.8468
Per class
Kappa
0.6805
KB relative information score
2998.8746
Mean absolute error
0.1653
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
0.8478
Per class
Predictive accuracy
0.8463
Prior entropy
0.9674
Recall
0.8463
Per class
Relative absolute error
0.3461
Root mean prior squared error
0.4886
Root mean squared error
0.3707
Root relative squared error
0.7587
SciMark benchmark
933.8635
UserCPU time millis
560
UserCPU time millis training
560