DEVELOPMENT... OpenML
Run
121488

Run 121488

Task 3665 (Supervised Classification) pyrim 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)_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
0.9377
Per class
Build CPU time
3.4831
Build memory
90309896.6486
F measure
0.9323
Per class
Kappa
0.8606
KB relative information score
63.5567
Mean absolute error
0.0676
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9325
Per class
Predictive accuracy
0.9324
Prior entropy
0.9819
Recall
0.9324
Per class
Relative absolute error
0.1387
Root mean prior squared error
0.4934
Root mean squared error
0.2599
Root relative squared error
0.5268
SciMark benchmark
942.0692