DEVELOPMENT... OpenML
Run
121430

Run 121430

Task 3602 (Supervised Classification) visualizing_environmental Uploaded 11-12-2014 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)_I80
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
0.6848
Per class
Build CPU time
2.3248
Build memory
134491252.4685
F measure
0.6578
Per class
Kappa
0.3161
KB relative information score
33.1205
Mean absolute error
0.3514
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
0.6596
Per class
Predictive accuracy
0.6577
Prior entropy
0.9986
Recall
0.6577
Per class
Relative absolute error
0.7041
Root mean prior squared error
0.4995
Root mean squared error
0.5484
Root relative squared error
1.098
SciMark benchmark
916.8516