DEVELOPMENT... OpenML
Run
120418

Run 120418

Task 3701 (Supervised Classification) sleuth_case1102 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
0.3632
Per class
Build CPU time
0.2903
Build memory
198314077.4118
F measure
0.4387
Per class
Kappa
-0.1413
KB relative information score
-7.1929
Mean absolute error
0.595
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.437
Per class
Predictive accuracy
0.4412
Prior entropy
0.9911
Recall
0.4412
Per class
Relative absolute error
1.2058
Root mean prior squared error
0.4965
Root mean squared error
0.7227
Root relative squared error
1.4555
SciMark benchmark
939.521