DEVELOPMENT... OpenML
Run
39241

Run 39241

Task 4461 (Supervised Classification) visualizing_hamster 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
0.6827
Per class
Build CPU time
0.0709
Build memory
921382868.3068
F measure
0.6587
Per class
Kappa
0.3095
KB relative information score
232.1129
Mean absolute error
0.3366
Mean prior absolute error
0.4955
Number of instances
730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.66
Per class
Predictive accuracy
0.6616
Prior entropy
0.9937
Recall
0.6616
Per class
Relative absolute error
0.6793
Root mean prior squared error
0.4977
Root mean squared error
0.5753
Root relative squared error
1.1559
SciMark benchmark
941.9633