DEVELOPMENT... OpenML
Run
40392

Run 40392

Task 4609 (Supervised Classification) jm1 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)_I80
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
0.7304
Per class
Build CPU time
83.5436
Build memory
952803543.4776
F measure
0.7617
Per class
Kappa
0.151
KB relative information score
30179.0624
Mean absolute error
0.1927
Mean prior absolute error
0.3121
Number of instances
108850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7725
Per class
Predictive accuracy
0.8118
Prior entropy
0.7088
Recall
0.8118
Per class
Relative absolute error
0.6173
Root mean prior squared error
0.395
Root mean squared error
0.4118
Root relative squared error
1.0425
SciMark benchmark
934.1739