DEVELOPMENT... OpenML
Run
38525

Run 38525

Task 4350 (Supervised Classification) fri_c1_500_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
0.9407
Per class
Build CPU time
1.1821
Build memory
299997304.48
F measure
0.8839
Per class
Kappa
0.7667
KB relative information score
3825.1255
Mean absolute error
0.117
Mean prior absolute error
0.4977
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.884
Per class
Predictive accuracy
0.884
Prior entropy
0.9967
Recall
0.884
Per class
Relative absolute error
0.235
Root mean prior squared error
0.4988
Root mean squared error
0.3275
Root relative squared error
0.6565
SciMark benchmark
943.8925