DEVELOPMENT... OpenML
Run
36003

Run 36003

Task 4486 (Supervised Classification) fri_c4_250_50 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)_I10
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
0.8701
Per class
Build CPU time
0.5465
Build memory
1305584375.68
F measure
0.8015
Per class
Kappa
0.6
KB relative information score
1494.2088
Mean absolute error
0.1995
Mean prior absolute error
0.4968
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8019
Per class
Predictive accuracy
0.802
Prior entropy
0.9955
Recall
0.802
Per class
Relative absolute error
0.4016
Root mean prior squared error
0.4984
Root mean squared error
0.4259
Root relative squared error
0.8544
SciMark benchmark
941.5665