DEVELOPMENT... OpenML
Run
121660

Run 121660

Task 3712 (Supervised Classification) wind 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
0.8855
Per class
Build CPU time
862.3242
Build memory
1037116275.3283
F measure
0.8658
Per class
Kappa
0.7304
KB relative information score
4799.5841
Mean absolute error
0.1341
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8658
Per class
Predictive accuracy
0.8658
Prior entropy
0.9969
Recall
0.8658
Per class
Relative absolute error
0.2694
Root mean prior squared error
0.4989
Root mean squared error
0.3639
Root relative squared error
0.7294
SciMark benchmark
874.7324