DEVELOPMENT... OpenML
Run
162356

Run 162356

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)_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
0.8289
Per class
F measure
0.9014
Per class
Kappa
0.5538
KB relative information score
1762.3129
Mean absolute error
0.0888
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
0.9067
Per class
Predictive accuracy
0.9122
Prior entropy
0.5848
Recall
0.9122
Per class
Relative absolute error
0.3685
Root mean prior squared error
0.347
Root mean squared error
0.2906
Root relative squared error
0.8375
SciMark benchmark
938.9865
UserCPU time millis
10300
UserCPU time millis testing
20
UserCPU time millis training
10280