DEVELOPMENT... OpenML
Run
117641

Run 117641

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)_I40
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
0.6993
Per class
Build CPU time
0.1218
Build memory
475433468.3964
F measure
0.6938
Per class
Kappa
0.3871
KB relative information score
42.8594
Mean absolute error
0.3064
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
0.6944
Per class
Predictive accuracy
0.6937
Prior entropy
0.9986
Recall
0.6937
Per class
Relative absolute error
0.614
Root mean prior squared error
0.4995
Root mean squared error
0.5363
Root relative squared error
1.0737
SciMark benchmark
902.712