DEVELOPMENT... OpenML
Run
165614

Run 165614

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 17-02-2015 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)_I160
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
0.9404
Per class
F measure
0.9258
Per class
Kappa
0.6716
KB relative information score
2140.6356
Mean absolute error
0.0669
Mean prior absolute error
0.2409
Number of instances
3279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9285
Per class
Predictive accuracy
0.9314
Prior entropy
0.5848
Recall
0.9314
Per class
Relative absolute error
0.2778
Root mean prior squared error
0.347
Root mean squared error
0.2479
Root relative squared error
0.7145
SciMark benchmark
943.2817
UserCPU time millis
162850
UserCPU time millis testing
40
UserCPU time millis training
162810