DEVELOPMENT... OpenML
Run
122005

Run 122005

Task 3602 (Supervised Classification) visualizing_environmental Uploaded 13-12-2014 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)_I160
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
0.6853
Per class
Build CPU time
2.5206
Build memory
1208440597.045
F measure
0.6578
Per class
Kappa
0.3161
KB relative information score
33.5175
Mean absolute error
0.3501
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
0.7017
Root mean prior squared error
0.4995
Root mean squared error
0.5491
Root relative squared error
1.0994
SciMark benchmark
931.6517