DEVELOPMENT... OpenML
Run
120601

Run 120601

Task 4001 (Supervised Classification) pc1_req 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
0.5638
Per class
Build CPU time
3.9722
Build memory
92224830.4
F measure
0.6381
Per class
Kappa
0.1637
KB relative information score
17.8198
Mean absolute error
0.4103
Mean prior absolute error
0.4455
Number of instances
320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6421
Per class
Predictive accuracy
0.6719
Prior entropy
0.9204
Recall
0.6719
Per class
Relative absolute error
0.9209
Root mean prior squared error
0.4718
Root mean squared error
0.5005
Root relative squared error
1.0609
SciMark benchmark
936.914

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