DEVELOPMENT... OpenML
Run
163085

Run 163085

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)_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
0.8814
Per class
F measure
0.9087
Per class
Kappa
0.5883
KB relative information score
1872.6842
Mean absolute error
0.0836
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
0.9138
Per class
Predictive accuracy
0.918
Prior entropy
0.5848
Recall
0.918
Per class
Relative absolute error
0.3469
Root mean prior squared error
0.347
Root mean squared error
0.2777
Root relative squared error
0.8002
SciMark benchmark
876.8277
UserCPU time millis
21090
UserCPU time millis testing
20
UserCPU time millis training
21070