DEVELOPMENT... OpenML
Run
35839

Run 35839

Task 3689 (Supervised Classification) fri_c1_500_10 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)_I10
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
0.9548
Per class
Build CPU time
0.3236
Build memory
530658538.4
F measure
0.9019
Per class
Kappa
0.8019
KB relative information score
400.0498
Mean absolute error
0.0988
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9019
Per class
Predictive accuracy
0.902
Prior entropy
0.9934
Recall
0.902
Per class
Relative absolute error
0.1995
Root mean prior squared error
0.4977
Root mean squared error
0.2966
Root relative squared error
0.596
SciMark benchmark
909.9339