DEVELOPMENT... OpenML
Run
42623

Run 42623

Task 4604 (Supervised Classification) mozilla4 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
0.9687
Per class
Build CPU time
42.4283
Build memory
1891717794.886
F measure
0.9427
Per class
Kappa
0.868
KB relative information score
134650.0265
Mean absolute error
0.0562
Mean prior absolute error
0.4412
Number of instances
155450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9475
Per class
Predictive accuracy
0.9441
Prior entropy
0.9135
Recall
0.9441
Per class
Relative absolute error
0.1273
Root mean prior squared error
0.4697
Root mean squared error
0.2317
Root relative squared error
0.4932
SciMark benchmark
941.9633