DEVELOPMENT... OpenML
Run
39699

Run 39699

Task 4549 (Supervised Classification) kdd_internet_usage Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9545
Per class
Build CPU time
40.4848
Build memory
881952240.6788
F measure
0.8996
Per class
Kappa
0.7433
KB relative information score
72531.6093
Mean absolute error
0.1013
Mean prior absolute error
0.3929
Number of instances
101080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8992
Per class
Predictive accuracy
0.9
Prior entropy
0.8395
Recall
0.9
Per class
Relative absolute error
0.2579
Root mean prior squared error
0.4432
Root mean squared error
0.3032
Root relative squared error
0.6841
SciMark benchmark
942.4851