DEVELOPMENT... OpenML
Run
121473

Run 121473

Task 3647 (Supervised Classification) rabe_266 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
0.9542
Per class
Build CPU time
3.0783
Build memory
64537686.4
F measure
0.95
Per class
Kappa
0.8999
KB relative information score
108.7348
Mean absolute error
0.0465
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9506
Per class
Predictive accuracy
0.95
Prior entropy
0.9983
Recall
0.95
Per class
Relative absolute error
0.0933
Root mean prior squared error
0.4994
Root mean squared error
0.2109
Root relative squared error
0.4223
SciMark benchmark
931.6517