DEVELOPMENT... OpenML
Run
121710

Run 121710

Task 3917 (Supervised Classification) kc1 Uploaded 12-12-2014 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)_I80
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
0.7731
Per class
Build CPU time
61.4841
Build memory
232595195.5277
F measure
0.841
Per class
Kappa
0.3617
KB relative information score
520.5341
Mean absolute error
0.1607
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8356
Per class
Predictive accuracy
0.8497
Prior entropy
0.622
Recall
0.8497
Per class
Relative absolute error
0.6142
Root mean prior squared error
0.3615
Root mean squared error
0.3694
Root relative squared error
1.0218
SciMark benchmark
942.0692