DEVELOPMENT... OpenML
Run
37390

Run 37390

Task 4437 (Supervised Classification) fri_c4_100_25 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)_I20
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
0.7941
Per class
Build CPU time
0.0779
Build memory
62986130
F measure
0.7404
Per class
Kappa
0.4769
KB relative information score
442.9287
Mean absolute error
0.281
Mean prior absolute error
0.4969
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7405
Per class
Predictive accuracy
0.741
Prior entropy
0.9956
Recall
0.741
Per class
Relative absolute error
0.5655
Root mean prior squared error
0.4984
Root mean squared error
0.4465
Root relative squared error
0.8959
SciMark benchmark
946.1004