DEVELOPMENT... OpenML
Run
36795

Run 36795

Task 4351 (Supervised Classification) rabe_265 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
0.6776
Per class
Build CPU time
0.0097
Build memory
788450621.851
F measure
0.6586
Per class
Kappa
0.2906
KB relative information score
133.1669
Mean absolute error
0.356
Mean prior absolute error
0.485
Number of instances
510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.658
Per class
Predictive accuracy
0.6627
Prior entropy
0.9791
Recall
0.6627
Per class
Relative absolute error
0.734
Root mean prior squared error
0.4922
Root mean squared error
0.5448
Root relative squared error
1.107
SciMark benchmark
931.9798