DEVELOPMENT... OpenML
Run
41153

Run 41153

Task 4313 (Supervised Classification) fri_c4_500_100 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)_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
0.909
Per class
Build CPU time
18.8044
Build memory
1430083409.6
F measure
0.8865
Per class
Kappa
0.7683
KB relative information score
3842.8313
Mean absolute error
0.1128
Mean prior absolute error
0.4913
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
0.8873
Per class
Predictive accuracy
0.887
Prior entropy
0.9875
Recall
0.887
Per class
Relative absolute error
0.2296
Root mean prior squared error
0.4956
Root mean squared error
0.331
Root relative squared error
0.6679
SciMark benchmark
945.8914