DEVELOPMENT... OpenML
Run
44457

Run 44457

Task 4461 (Supervised Classification) visualizing_hamster Uploaded 29-10-2014 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
0.6632
Per class
Build CPU time
0.2462
Build memory
554627780.8767
F measure
0.6618
Per class
Kappa
0.3158
KB relative information score
232.3754
Mean absolute error
0.3365
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
0.6627
Per class
Predictive accuracy
0.6644
Prior entropy
0.9937
Recall
0.6644
Per class
Relative absolute error
0.6791
Root mean prior squared error
0.4977
Root mean squared error
0.5779
Root relative squared error
1.1612
SciMark benchmark
946.2416