DEVELOPMENT... OpenML
Run
36368

Run 36368

Task 4562 (Supervised Classification) vehicle 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
0.9851
Per class
Build CPU time
0.5491
Build memory
1120593263.0799
F measure
0.9773
Per class
Kappa
0.9405
KB relative information score
7908.1231
Mean absolute error
0.0222
Mean prior absolute error
0.3828
Number of instances
8460
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9773
Per class
Predictive accuracy
0.9773
Prior entropy
0.8241
Recall
0.9773
Per class
Relative absolute error
0.058
Root mean prior squared error
0.4374
Root mean squared error
0.1427
Root relative squared error
0.3263
SciMark benchmark
909.9339