DEVELOPMENT... OpenML
Run
36016

Run 36016

Task 4490 (Supervised Classification) fri_c2_100_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)_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
0.8841
Per class
Build CPU time
0.0357
Build memory
1641254474.24
F measure
0.835
Per class
Kappa
0.6612
KB relative information score
580.9309
Mean absolute error
0.2122
Mean prior absolute error
0.4875
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8349
Per class
Predictive accuracy
0.835
Prior entropy
0.9822
Recall
0.835
Per class
Relative absolute error
0.4353
Root mean prior squared error
0.4936
Root mean squared error
0.3628
Root relative squared error
0.735
SciMark benchmark
890.4487