DEVELOPMENT... OpenML
Run
44706

Run 44706

Task 3756 (Supervised Classification) visualizing_hamster Uploaded 30-10-2014 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)_I160
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
0.6239
Per class
Build CPU time
0.3205
Build memory
584869720.9863
F measure
0.6408
Per class
Kappa
0.2734
KB relative information score
20.315
Mean absolute error
0.3562
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6417
Per class
Predictive accuracy
0.6438
Prior entropy
0.9937
Recall
0.6438
Per class
Relative absolute error
0.7188
Root mean prior squared error
0.4977
Root mean squared error
0.5968
Root relative squared error
1.1991
SciMark benchmark
935.2997