DEVELOPMENT... OpenML
Run
118119

Run 118119

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)_I20
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
0.7053
Per class
Build CPU time
0.056
Build memory
1842746699.2432
F measure
0.6938
Per class
Kappa
0.3881
KB relative information score
39.8257
Mean absolute error
0.3219
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
0.6957
Per class
Predictive accuracy
0.6937
Prior entropy
0.9986
Recall
0.6937
Per class
Relative absolute error
0.645
Root mean prior squared error
0.4995
Root mean squared error
0.533
Root relative squared error
1.0672
SciMark benchmark
916.8516