DEVELOPMENT... OpenML
Run
36958

Run 36958

Task 3602 (Supervised Classification) visualizing_environmental 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
0.6781
Per class
Build CPU time
0.045
Build memory
1167118663.3514
F measure
0.6392
Per class
Kappa
0.2766
KB relative information score
30.0247
Mean absolute error
0.3653
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6392
Per class
Predictive accuracy
0.6396
Prior entropy
0.9986
Recall
0.6396
Per class
Relative absolute error
0.7321
Root mean prior squared error
0.4995
Root mean squared error
0.5915
Root relative squared error
1.1842
SciMark benchmark
942.6202