DEVELOPMENT... OpenML
Run
121084

Run 121084

Task 3868 (Supervised Classification) glass 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)_I40
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
0.8557
Per class
Build CPU time
3.8828
Build memory
57193742.5794
F measure
0.8395
Per class
Kappa
0.6469
KB relative information score
137.4326
Mean absolute error
0.1571
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
0.8394
Per class
Predictive accuracy
0.8411
Prior entropy
0.9397
Recall
0.8411
Per class
Relative absolute error
0.3427
Root mean prior squared error
0.4786
Root mean squared error
0.3872
Root relative squared error
0.809
SciMark benchmark
938.6131