DEVELOPMENT... OpenML
Run
122101

Run 122101

Task 3732 (Supervised Classification) fri_c4_100_25 Uploaded 13-12-2014 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)_I160
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
0.6868
Per class
Build CPU time
12.0115
Build memory
332417100
F measure
0.6288
Per class
Kappa
0.2516
KB relative information score
26.0146
Mean absolute error
0.3657
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6287
Per class
Predictive accuracy
0.63
Prior entropy
0.9956
Recall
0.63
Per class
Relative absolute error
0.7361
Root mean prior squared error
0.4984
Root mean squared error
0.6013
Root relative squared error
1.2065
SciMark benchmark
943.4163