DEVELOPMENT... OpenML
Run
37188

Run 37188

Task 4400 (Supervised Classification) fri_c2_250_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)_I20
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
0.9104
Per class
Build CPU time
0.2529
Build memory
651241328.32
F measure
0.8921
Per class
Kappa
0.7651
KB relative information score
1905.1104
Mean absolute error
0.1064
Mean prior absolute error
0.4633
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8929
Per class
Predictive accuracy
0.8932
Prior entropy
0.9468
Recall
0.8932
Per class
Relative absolute error
0.2296
Root mean prior squared error
0.4812
Root mean squared error
0.3211
Root relative squared error
0.6674
SciMark benchmark
938.2803