DEVELOPMENT... OpenML
Run
38664

Run 38664

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8517
Per class
Build CPU time
2.334
Build memory
1294284558.4
F measure
0.8118
Per class
Kappa
0.6219
KB relative information score
152.7197
Mean absolute error
0.1942
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8119
Per class
Predictive accuracy
0.812
Prior entropy
0.9971
Recall
0.812
Per class
Relative absolute error
0.39
Root mean prior squared error
0.499
Root mean squared error
0.4294
Root relative squared error
0.8605
SciMark benchmark
909.9339