DEVELOPMENT... OpenML
Run
117159

Run 117159

Task 3602 (Supervised Classification) visualizing_environmental Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.688
Per class
Build CPU time
0.2603
Build memory
635478501.045
F measure
0.7028
Per class
Kappa
0.4056
KB relative information score
44.3847
Mean absolute error
0.2997
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
0.704
Per class
Predictive accuracy
0.7027
Prior entropy
0.9986
Recall
0.7027
Per class
Relative absolute error
0.6006
Root mean prior squared error
0.4995
Root mean squared error
0.5456
Root relative squared error
1.0922
SciMark benchmark
913.3372