DEVELOPMENT... OpenML
Run
38043

Run 38043

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)_I20
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
0.9526
Per class
Build CPU time
20.1264
Build memory
295805241.9628
F measure
0.8984
Per class
Kappa
0.7397
KB relative information score
71710.6835
Mean absolute error
0.1051
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
0.898
Per class
Predictive accuracy
0.8991
Prior entropy
0.8395
Recall
0.8991
Per class
Relative absolute error
0.2675
Root mean prior squared error
0.4432
Root mean squared error
0.2972
Root relative squared error
0.6706
SciMark benchmark
944.5683