DEVELOPMENT... OpenML
Run
39679

Run 39679

Task 4559 (Supervised Classification) car 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)_I40
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
0.9998
Per class
Build CPU time
0.5147
Build memory
953067694.8315
F measure
0.9947
Per class
Kappa
0.9875
KB relative information score
17024.7047
Mean absolute error
0.0057
Mean prior absolute error
0.4199
Number of instances
17280
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9948
Per class
Predictive accuracy
0.9947
Prior entropy
0.8813
Recall
0.9947
Per class
Relative absolute error
0.0135
Root mean prior squared error
0.4582
Root mean squared error
0.0683
Root relative squared error
0.1491
SciMark benchmark
909.9339