DEVELOPMENT... OpenML
Run
119972

Run 119972

Task 3859 (Supervised Classification) prnn_fglass 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)_I10
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
0.8675
Per class
Build CPU time
1.1738
Build memory
2391081272.2243
F measure
0.7714
Per class
Kappa
0.5016
KB relative information score
107.0042
Mean absolute error
0.2202
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7717
Per class
Predictive accuracy
0.771
Prior entropy
0.9397
Recall
0.771
Per class
Relative absolute error
0.4803
Root mean prior squared error
0.4786
Root mean squared error
0.4423
Root relative squared error
0.9243
SciMark benchmark
934.8107