DEVELOPMENT... OpenML
Run
40086

Run 40086

Task 4359 (Supervised Classification) fri_c1_100_10 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)_I80
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
0.8013
Per class
Build CPU time
0.3908
Build memory
1452781111.44
F measure
0.7779
Per class
Kappa
0.5539
KB relative information score
551.0487
Mean absolute error
0.2242
Mean prior absolute error
0.4982
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
0.7802
Per class
Predictive accuracy
0.779
Prior entropy
0.9975
Recall
0.779
Per class
Relative absolute error
0.4499
Root mean prior squared error
0.4991
Root mean squared error
0.4591
Root relative squared error
0.9199
SciMark benchmark
928.3063