DEVELOPMENT... OpenML
Run
120329

Run 120329

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

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7237
Per class
Build CPU time
1.069
Build memory
799139087.3514
F measure
0.6848
Per class
Kappa
0.3696
KB relative information score
39.8077
Mean absolute error
0.3218
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
0.686
Per class
Predictive accuracy
0.6847
Prior entropy
0.9986
Recall
0.6847
Per class
Relative absolute error
0.6449
Root mean prior squared error
0.4995
Root mean squared error
0.5078
Root relative squared error
1.0166
SciMark benchmark
942.3919