DEVELOPMENT... OpenML
Run
41031

Run 41031

Task 4549 (Supervised Classification) kdd_internet_usage Uploaded 29-10-2014 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)_I80
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
0.9542
Per class
Build CPU time
68.4046
Build memory
811725780.4127
F measure
0.9014
Per class
Kappa
0.7469
KB relative information score
72581.0775
Mean absolute error
0.102
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
0.901
Per class
Predictive accuracy
0.9024
Prior entropy
0.8395
Recall
0.9024
Per class
Relative absolute error
0.2595
Root mean prior squared error
0.4432
Root mean squared error
0.2915
Root relative squared error
0.6578
SciMark benchmark
941.4198