DEVELOPMENT... OpenML
Run
38832

Run 38832

Task 4375 (Supervised Classification) fri_c4_500_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
0.9247
Per class
Build CPU time
4.8761
Build memory
1350097516.4
F measure
0.871
Per class
Kappa
0.7411
KB relative information score
3693.6326
Mean absolute error
0.1302
Mean prior absolute error
0.4984
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.871
Per class
Predictive accuracy
0.871
Prior entropy
0.9978
Recall
0.871
Per class
Relative absolute error
0.2612
Root mean prior squared error
0.4992
Root mean squared error
0.3503
Root relative squared error
0.7017
SciMark benchmark
909.9339