DEVELOPMENT... OpenML
Run
120066

Run 120066

Task 40 (Supervised Classification) glass 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
0.8825
Per class
Build CPU time
10.5908
Build memory
914539316.5981
F measure
0.7321
Per class
Kappa
0.6385
KB relative information score
139.0179
Mean absolute error
0.0735
Mean prior absolute error
0.2116
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
0.7326
Per class
Predictive accuracy
0.7383
Prior entropy
2.2315
Recall
0.7383
Per class
Relative absolute error
0.3474
Root mean prior squared error
0.3244
Root mean squared error
0.2665
Root relative squared error
0.8213
SciMark benchmark
930.5854