DEVELOPMENT... OpenML
Run
163144

Run 163144

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)_I40
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
0.9606
Per class
F measure
0.9003
Per class
Kappa
0.7909
KB relative information score
3575.7898
Mean absolute error
0.1057
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
0.9002
Per class
Predictive accuracy
0.9005
Prior entropy
0.9674
Recall
0.9005
Per class
Relative absolute error
0.2214
Root mean prior squared error
0.4886
Root mean squared error
0.2922
Root relative squared error
0.598
SciMark benchmark
934.5243
UserCPU time millis
1890
UserCPU time millis testing
10
UserCPU time millis training
1880