DEVELOPMENT... OpenML
Run
39372

Run 39372

Task 3725 (Supervised Classification) auto93 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
0.9438
Per class
Build CPU time
0.1848
Build memory
1021995642.5807
F measure
0.8925
Per class
Kappa
0.7709
KB relative information score
67.539
Mean absolute error
0.1284
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8925
Per class
Predictive accuracy
0.8925
Prior entropy
0.9573
Recall
0.8925
Per class
Relative absolute error
0.2731
Root mean prior squared error
0.4845
Root mean squared error
0.3068
Root relative squared error
0.6332
SciMark benchmark
940.0668