DEVELOPMENT... OpenML
Run
163816

Run 163816

Task 6566 (Supervised Classification) Internet-Advertisements 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
0.9162
Per class
F measure
0.9153
Per class
Kappa
0.6212
KB relative information score
1975.4792
Mean absolute error
0.0772
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
0.919
Per class
Predictive accuracy
0.9228
Prior entropy
0.5848
Recall
0.9228
Per class
Relative absolute error
0.3204
Root mean prior squared error
0.347
Root mean squared error
0.2689
Root relative squared error
0.7751
SciMark benchmark
938.4278
UserCPU time millis
42140
UserCPU time millis testing
20
UserCPU time millis training
42120